IJACSA Vol. 15 Issue 6 (2024)

1

Integrating Advanced Language Models and Vector Database for Enhanced AI Query Retrieval in Web Development

Author 1: Xiaoli Huan Author 2: Hong Zhou

In the dynamic field of web development, the integration of sophisticated AI technologies for query processing has become increasingly crucial. This paper presents a framework that significantly improves the relevance of web query responses by leveraging cutting-edge technologies like Hugging Face, FAISS, Google PaLM, Gemini, and LangChain. We explore and… Read full abstract & cite →

LLM (Large Language Model) vector databases retrieval-augmented generation

Abstract doi.org/10.14569/IJACSA.2024.0150601 PDF

2

Designing a Conversational Agent for Education using a Personality-based Approach

Author 1: Jieyu Wang Author 2: Jim Q. Chen Author 3: Dingfang Kang Author 4: Susantha Herath Author 5: Abdullah AbuHussein

Conversational agents (CA) for education are the dialog systems that can interact with students intelligently. They are gaining popularity because of the potential benefits of education. However, there is very little research focusing on personality-based educational CA design. Therefore, we designed and built a high-fidelity educational CA prototype with four… Read full abstract & cite →

Conversational agent/chatbot personality-based UX design human-centered AI

Abstract doi.org/10.14569/IJACSA.2024.0150602 PDF

3

A Quantitative Study on Real-Time Police Patrol Route Optimization using Dynamic Hotspot Allocation

Author 1: Rakesh Ramakrishnan Author 2: Soumithri Chilakamarri Author 3: Roopalatha Mangalseth Budda Author 4: Ashik Dawood Mohammed Anifa

A quantitative study on the optimization of police patrol routes in real-time using dynamic hotspot allocation is presented in this article. Ensuring public safety necessitates addressing the difficulties law enforcement agencies encounter in optimizing patrol routes within limited resources. In dynamic environments, static patrol route planning and traditional random routing… Read full abstract & cite →

Route optimization redesigning police patrol data-driven strategies novel patrol routing random forest real-time crime prediction crime data 911 incident response hamilton path

Abstract doi.org/10.14569/IJACSA.2024.0150603 PDF

4

Operator Machine Augmentation Resource Framework

Author 1: Mohammed Ameen Author 2: Richard Stone Author 3: Majed Hariri Author 4: Faisal Binzagr

The growing number of people gathering in public and the massive incidents that have occurred in recent years. It raises questions about public safety and security. This paper illustrates the technical implementation of the operator machine augmentation resource (OMAR) framework, which integrates advanced technologies, including a Computer Vision model and… Read full abstract & cite →

Crowd monitoring public security Operator Machine Augmentation Resource (OMAR) framework CCTV operator surveillance system crowd monitoring systems

Abstract doi.org/10.14569/IJACSA.2024.0150604 PDF

5

Word-Pattern: Enhancement of Usability and Security of User-Chosen Recognition Textual Password

Author 1: Hassan Wasfi Author 2: Richard Stone Author 3: Ulrike Genschel

Knowledge-based authentication systems are the most common methods used to verify users’ identity, especially textual passwords. However, periodic changes in password complexity exacerbate human’s limitations of remembering hard passwords over time. Therefore, a novel authentication method called Word Pattern Recognition Textual Password (WPRTP) was proposed to overcome these issues. WPRTP… Read full abstract & cite →

Authentication password passphrase recognition recall pattern usability security

Abstract doi.org/10.14569/IJACSA.2024.0150605 PDF

6

Revolutionizing Campus Communication: NLP-Powered University Chatbots

Author 1: Ritu Ramakrishnan Author 2: Priyanka Thangamuthu Author 3: Austin Nguyen Author 4: Jinzhu Gao

Artificial intelligence (AI) based chatbots leverage programmed software instructions to simulate human speech and user interaction. These versatile tools can be employed in various domains, from managing smart home devices to providing personal virtual assistants. They can also be useful in responding to common queries and can make information easier… Read full abstract & cite →

Artificial intelligence natural language processing chatbot machine learning recommender systems neural network BERT

Abstract doi.org/10.14569/IJACSA.2024.0150606 PDF

7

Capability Assessment Framework for Artificial Intelligence and Blockchain Adoption in Public Sector of United Arab Emirates (UAE)

Author 1: Ahmad Mofleh Al Graibeh Author 2: Saba Khan Author 3: Salah Al-Majeed Author 4: Shujun Zhang

This is an ongoing study with the aim to develop a maturity model for efficient deployment of Artificial Intelligence (AI) and Blockchain (BC) in the United Arab Emirates (UAE) public sector. The organizations would leverage this maturity model to assess their efficacy of deploying AI and BC technologies in their… Read full abstract & cite →

Conceptual framework Artificial Intelligence Blockchain maturity model

Abstract doi.org/10.14569/IJACSA.2024.0150607 PDF

8

Utilizing Machine Learning Techniques to Assess Technical Document Quality

Author 1: Muhammad Junaid Iqbal Author 2: Fabio Massimo Zanzotto Author 3: Usman Nawaz

Information is disseminated through images in newspapers, periodicals, the internet, and academic journals. With the aid of various tools such as Adobe, GIMP, and Corel Draw, distinguishing between an original image and a forgery has become increasingly challenging. Most conventional methods rely on constructed traits for detecting image counterfeiting. Image… Read full abstract & cite →

Image verification machine learning ensemble approach multi-feature image recognition

Abstract doi.org/10.14569/IJACSA.2024.0150608 PDF

9

Evaluating the Effect on Heart Rate Variability of Adults Exposed to Radio-Frequency Electromagnetic Fields in Modern Office Environment

Author 1: Sanda Dale Author 2: Romulus Reiz Author 3: Sorin Popa Author 4: Andreea Ardelean-Dale Author 5: Julian Keller Author 6: Jens Uwe Geier

The objective of the study was to investigate whether heart rate variability (HRV) is an appropriate method to describe potential effects of RF-EMF on humans considering a modern office environment radiation level with the frequencies 1.8 GHz (DECT) and 2.45 GHz (Wi-Fi) and an exposure time of 10 min. The… Read full abstract & cite →

Radio frequency electromagnetic fields heart rate variability office environment Wi-Fi DECT

Abstract doi.org/10.14569/IJACSA.2024.0150609 PDF

10

Can Semi-Supervised Learning Improve Prediction of Deep Learning Model Resource Consumption?

Author 1: Karthick Panner Selvam Author 2: Mats Brorsson

As computational demands for deep learning models escalate, accurately predicting training characteristics like training time and memory usage has become crucial. These predictions are essential for optimal hardware resource allocation. Traditional performance prediction methods primarily rely on supervised learning paradigms. Our novel approach, TraPPM (Training characteristics Performance Predictive Model), combines… Read full abstract & cite →

Performance model deep learning Graph neural network

Abstract doi.org/10.14569/IJACSA.2024.0150610 PDF

11

PhyGame: An Interactive and Gamified Learning Support System for Secondary Physics Education

Author 1: Toshiki Katanosaka Author 2: M. Fahim Ferdous Khan Author 3: Ken Sakamura

With the rapid development of affordable digital technology, digital transformation is progressing in different sectors of society. Education is no exception; especially online education has been widely spreading since the coronavirus pandemic. While online education enables individuals to over-come the constraints associated with traditional offline formats (e.g. flexibility regarding time… Read full abstract & cite →

Gamification interactive learning online education engagement STEM

Abstract doi.org/10.14569/IJACSA.2024.0150611 PDF

12

Modified SFWBP Framework for Vocal Teaching Quality Evaluation Based on the MEREC Technique

Author 1: Lei Huang

With the gradual improvement of people's living standards, their pursuit of art is also constantly increasing. Vocal music is not only an important course in the training process of music majors but also an important factor in improving personal qualities and expanding one's own abilities. In the process of vocal… Read full abstract & cite →

Multiple-attribute group decision-making Spherical fuzzy sets (SFSs) MEREC bidirectional projection technique vocal teaching quality evaluation

Abstract doi.org/10.14569/IJACSA.2024.0150612 PDF

13

Advanced IoT Techniques for Detecting Water Leaks in Supply Networks with LoRaWAN

Author 1: Essouabni Mohammed Author 2: El Mhamdi Jamal Author 3: Jilbab Abdelilah

Water leaks are a common problem when water flows through pipes, causing significant losses of this valuable resource. Our solution uses the Internet of Things (IoT) to address these losses. We employ LoRaWAN (Long Range Wide Area Network) technology to collect data from sensors, allowing real-time monitoring of pipelines and… Read full abstract & cite →

Internet of things LoRaWAN leak detection pipeline monitoring ultrasonic liquid level sensor

Abstract doi.org/10.14569/IJACSA.2024.0150613 PDF

14

The Utilization of a Multi-Layer Perceptron Model for Estimation of the Heating Load

Author 1: Ken Chen Author 2: Wenyao Zhu

The growing significance of energy-efficient building management techniques has led to research that combines precise heating demand predictions with sophisticated optimization algorithms. This research seeks a comprehensive solution to enhance building energy efficiency, addressing the growing concern for sustainability and responsible resource use in contemporary research and practice. In this… Read full abstract & cite →

Heating energy consumption heating load Multi-Layer Perceptron Artificial Hummingbird Algorithm Improved Arithmetic Optimization Algorithm

Abstract doi.org/10.14569/IJACSA.2024.0150614 PDF

15

Obtaining the California Bearing Ratio Prediction via Hybrid Composition of Random Forest

Author 1: Bensheng Wu Author 2: Yan Zheng

Artificial intelligence algorithms have become much more sophisticated, so the most complex and challenging problems can be solved with them. California Bearing Ratio (CBR) is a time-consuming testing parameter, and univariate and multivariate regression methods are used to address this challenge. Therefore, the CBR value is an essential parameter in… Read full abstract & cite →

California bearing ratio gold rush optimizer stochastic paint optimizer electrostatic discharge algorithm random forest

Abstract doi.org/10.14569/IJACSA.2024.0150615 PDF

16

Optimization of Body Pressure Relief Support Wearable Devices Integrating 3D Printing and Gait Recognition Algorithms

Author 1: Yaqiong Zhou Author 2: Bing Hu

To improve wearing comfort and achieve individual recognition, this study designs an ankle exoskeleton that simulates natural human movement based on the joint structure of the human lower limbs. The function of the sole spring is achieved through compression springs on the exoskeleton framework coupled with the foot, and a… Read full abstract & cite →

3D printing gait recognition body decompression support wearing devices electromyographic signal

Abstract doi.org/10.14569/IJACSA.2024.0150616 PDF

17

Implementation of Improved Raft Consensus Algorithm in IoT Information Security Management

Author 1: Mingzhen Zhang

In the context of the rapid expansion of the Internet of Things, information security management has become particularly crucial. In response to the performance bottleneck of traditional Raft consensus algorithms, this study proposes an improved Raft algorithm that combines density noise spatial clustering algorithm and vote change mechanism, aiming to… Read full abstract & cite →

Blockchain consensus algorithm Internet of Things information management raft

Abstract doi.org/10.14569/IJACSA.2024.0150617 PDF

18

Smart City Traffic Data Analysis and Prediction Based on Weighted K-means Clustering Algorithm

Author 1: Lei Li

Urban traffic congestion is becoming a more serious issue as urbanization picks up speed. This study improved the conventional K-means method to create a new traffic flow prediction algorithm that can more accurately estimate the city's traffic flow. Firstly, the traditional K-means algorithm is given different weights by weighting, so… Read full abstract & cite →

K-means smart cities traffic flow prediction holt weight

Abstract doi.org/10.14569/IJACSA.2024.0150618 PDF

19

Application of Improved Deep Convolutional Neural Network Algorithm in Damaged Information Restoration

Author 1: Wenya Jia

The repair of damaged documents has practical significance in multiple fields and can help people better analyze data information. This study proposes an improved algorithm model based on deep convolutional neural networks to address the issues of poor restoration performance and insufficient restoration information in the current process of restoring… Read full abstract & cite →

Damaged document information restoration deep convolutional neural network grayscale rules

Abstract doi.org/10.14569/IJACSA.2024.0150619 PDF

20

Designing the VPN with Top-Down to Improve Information Security

Author 1: Valero Andia Billy Scott Author 2: Sanchez Atuncar Giancarlo

In this article, presents a systematic review of virtual private networks (VPNs) and their contribution to improving information security, with a particular focus on the Andia Consortium. It examines how VPN technology, through its ability to provide a secure channel for communication between devices, can protect organizations' valuable digital data… Read full abstract & cite →

VPN cyber-attacks security information

Abstract doi.org/10.14569/IJACSA.2024.0150620 PDF

21

Design of Network Attack Intrusion Detection System Based on Improved FWA Algorithm

Author 1: Qingsong Chang Author 2: Weiyan Feng Author 3: Xingguo Wang

The increasing diversity of network attack behaviors has led to increasingly serious network security issues. Based on this, this study proposes an optimized fireworks algorithm to build an intrusion detection model. Firstly, the traditional algorithm is optimized by improving the uniformity of initial individual distribution and designing a fitness value… Read full abstract & cite →

Fireworks algorithm fitness initial cluster characteristics intrusion detection network

Abstract doi.org/10.14569/IJACSA.2024.0150621 PDF

22

Fuzzy Control-based Adaptive Adjustment of Dynamic Stiffness for Stewart Platforms

Author 1: Zhiqiang Zhao Author 2: Yuetao Liu Author 3: Changsong Yu Author 4: Changsong Yu

An adaptive adjusting strategy of Stewart platform dynamic stiffness based on fuzzy control is explored in this paper. The transient response, steady-state accuracy, anti-disturbance and robustness of Stewart platform are improved remarkably. Simulation experiments and data analysis show that compared with traditional fixed stiffness or PID control, this fuzzy control… Read full abstract & cite →

Fuzzy control regulation methods Stewart platform stiffness adaptive

Abstract doi.org/10.14569/IJACSA.2024.0150622 PDF

23

Financial Risk Prediction and Management using Machine Learning and Natural Language Processing

Author 1: Tianyu Li Author 2: Xiangyu Dai

With the continuous development and changes in the global financial markets, financial risk management has become increasingly important for the stable operation of enterprises. Traditional financial risk management methods, primarily relying on financial statement analysis and historical data statistics, show clear limitations when dealing with large-scale unstructured data. The rapid… Read full abstract & cite →

Financial risk management machine learning Natural Language Processing (NLP) Deep FM model risk prediction

Abstract doi.org/10.14569/IJACSA.2024.0150623 PDF

24

Computer Image Encryption Technology Based on Chaotic Sequence Algorithm

Author 1: Li Shen

With the wide application of computer images and the popularization of network transmission, the public demand for image encryption technology is becoming more and more urgent. Privacy and data security can be effectively guaranteed through image encryption, but the existing encryption technology still has problems such as high overhead and… Read full abstract & cite →

Chaotic sequence algorithm image encryption mapping effect pixel code security

Abstract doi.org/10.14569/IJACSA.2024.0150624 PDF

25

Neural Network-Powered Intrusion Detection in Multi-Cloud and Fog Environments

Author 1: Yanfeng ZHANG Author 2: Zhe XU

Cloud Computing has revolutionized the technological landscape, offering a platform for resource provisioning where organizations can access computing resources, storage, applications, and services. The shared nature of these resources introduces complexities in ensuring security and privacy. With the advent of edge and fog computing alongside cloud technologies, the processing, data… Read full abstract & cite →

Cloud computing fog computing intrusion detection privacy protection neural network

Abstract doi.org/10.14569/IJACSA.2024.0150625 PDF

26

Multi-Sensor Fusion and YOLOv5 Model for Automated Detection of Aircraft Cabin Door

Author 1: Ihnsik Weon Author 2: Soon-Geul Lee

This study investigated perception technology of an autonomous driving system to enable independent connection between an aircraft and a boarding bridge. GigE video sensors and solid-state lidars were installed on the cabin side of the boarding bridge, and a technology that fuses the data from these two different sensors was… Read full abstract & cite →

Jet bridge Yolo-v5 sensor fusing segmentation door detects automation docking system

Abstract doi.org/10.14569/IJACSA.2024.0150626 PDF

27

Developing a Digital Twin Model for Improved Pasture Management at Sheep Farm to Mitigate the Impact of Climate Change

Author 1: Ntebaleng Junia Lemphane Author 2: Ben Kotze Author 3: Rangith Baby Kuriakose

Small-scale livestock farmers experience significant losses because of decreased productivity caused by decline in pasture production brought on by climate change. Technology in livestock farming introduced the idea of "smart farming," which has simplified pasture management. Internet of Things (IoT), Artificial Intelligence (AI) and data analytics are just a few… Read full abstract & cite →

Artificial intelligence artificial neural network climate change digital twin Internet of Things machine learning pasture management smart farming

Abstract doi.org/10.14569/IJACSA.2024.0150627 PDF

28

A Theoretical Framework for Temporal Graph Warehousing with Applications

Author 1: Annie Y. H. Chou Author 2: Frank S. C. Tseng

The evolution of data management systems has witnessed a paradigm shift towards dynamic and temporal representations of relationships. Graph databases, positioned as key players in managing highly-connected data with a fundamental requirement for relationship analysis, have recognized the need for incorporating temporal features. These features are crucial for capturing the… Read full abstract & cite →

Data warehousing graph database graph warehousing social computing temporal data

Abstract doi.org/10.14569/IJACSA.2024.0150628 PDF

29

Analysis of the Entropy of the Heart Rate Signal During the Creative Process

Author 1: Ning Zhu

Among the most important cognitive behaviors, creativity is essential for the flourishing of societies and mastery of various aspects of life around us. The effects of creative activities on the brain have only been examined in a few limited studies to date. The effects of such activities on the autonomic… Read full abstract & cite →

Heart rate signal creative process entropy autonomous signals

Abstract doi.org/10.14569/IJACSA.2024.0150629 PDF

30

Designing an Experimental Setup for Data Provenance Tracking using a Public Blockchain: A Case Study using a Water Bottling Plant

Author 1: O. L. Mokalusi Author 2: R. B. Kuriakose Author 3: H. J. Vermaak

Data provenance, in an end-to-end supply chain context, refers to the tracking of the origin and history of every raw material, process, packaging and distribution involved in a manufacturing network. The traditional client-server architecture utilised in centralised systems, stores data in a single location, making it vulnerable to single points… Read full abstract & cite →

Data provenance public blockchain smart contracts supply chain smart manufacturing

Abstract doi.org/10.14569/IJACSA.2024.0150630 PDF

31

Increasing the Accuracy of Writer Identification Based on Bee Colony Optimization Algorithm and Hybrid Deep Learning Method

Author 1: Hao Libo Author 2: Xu Jingqi

It is one of the most important and challenging classification issues to identify the writer's identity from offline handwriting images, which has been the focus of many researchers in recent years. This article presents a novel approach to identifying the author of offline Pertian manuscripts from scanned images based on… Read full abstract & cite →

Optimization bee colony algorithm deep learning author identity recognition handwriting

Abstract doi.org/10.14569/IJACSA.2024.0150631 PDF

32

An IoT Solution to Detect Overheated Idler Rollers in Belt Conveyors

Author 1: Manuel J. Ibarra-Cabrera Author 2: Jaime Guevara Rios Author 3: Dennis Vargas Ovalle Author 4: Mario Aquino-Cruz Author 5: Hugo D. Calderon-Vilca Author 6: Sergio F. Ochoa

It is common knowledge that mechanical systems need oversight and maintenance procedures. There are numerous prevalent operation monitoring techniques, and in the era of IoT and predictive maintenance, it is possible to find multiple solutions to supervise these systems. This article describes the design and implementation of a low-cost system… Read full abstract & cite →

IoT system overheated idler detection conveyor belts mining companies autonomous and on-demand monitoring

Abstract doi.org/10.14569/IJACSA.2024.0150632 PDF

33

Incremental Learning for GRU and RNN-based Assamese UPoS Tagger

Author 1: Kuwali Talukdar Author 2: Shikhar Kumar Sarma

This research paper introduces a novel approach to enhance the performance of Universal Part-of-Speech (UPoS) tagging for the low-resource language Assamese, employing Recurrent Neural Networks (RNNs) and Gated Recurrent Units (GRUs). The novelty added in this study is the experimentation with Incremental Learning, a dynamic paradigm allowing the models to… Read full abstract & cite →

Assamese UPoS PoS tagger RNN GRU incremental learning

Abstract doi.org/10.14569/IJACSA.2024.0150633 PDF

34

A Smart Construction Benefit Evaluation Method Combining C-OWA Operator and Grey Clustering

Author 1: Yunzhu Sun Author 2: Yunfeng Zhang

Currently, there is a lack of effective objective quantitative methods for evaluating the benefits of smart construction. Therefore, this study proposes a comprehensive method for evaluating the benefits of smart construction. This method establishes an indicator system from the perspective of evaluation objectives, and on this basis, uses a continuous… Read full abstract & cite →

C-OWA Grey system clustering intelligent construction sustainability

Abstract doi.org/10.14569/IJACSA.2024.0150634 PDF

35

Deep Learning Algorithm Research and Performance Optimization of Financial Treasury Big Data Monitoring Platform

Author 1: Yanbing Wang Author 2: Ding Ding

With the rapid development of information technology and the advent of the digital age, the management of fiscal treasury is facing unprecedented challenges and opportunities. In order to improve the efficiency and effectiveness of deep learning algorithms in the financial and treasury big data monitoring platform, this paper further studies… Read full abstract & cite →

Deep learning financial database big data monitoring algorithm research performance optimization

Abstract doi.org/10.14569/IJACSA.2024.0150635 PDF

36

Postpartum Depression Identification: Integrating Mutual Learning-based Artificial Bee Colony and Proximal Policy Optimization for Enhanced Diagnostic Precision

Author 1: Yayuan Tang Author 2: Tangsen Huang Author 3: Xiangdong Yin

Postpartum depression (PPD) affects approximately 12% of mothers, posing significant challenges for maternal and child health. Despite its prevalence, many affected women lack adequate support. Early identification of those at high risk is cost-effective but remains challenging. This study introduces an innovative model for PPD detection, combining the Mutual Learning-based… Read full abstract & cite →

Postpartum depression imbalanced classification Proximal Policy Optimization Artificial Bee Colony reinforcement learning

Abstract doi.org/10.14569/IJACSA.2024.0150636 PDF

37

A GAN-based Hybrid Deep Learning Approach for Enhancing Intrusion Detection in IoT Networks

Author 1: S. Balaji Author 2: G. Dhanabalan Author 3: C. Umarani Author 4: J. Naskath

Internet of Things (IoT) strongly involves intelligent objects sharing information to achieve tasks in the environment with an excellence of living standards. In resource-constrained it is extremely difficult chore to impart security against intrusion. It is unprotected from Distributed Denial of Service (DDoS), Gray hole, sinkhole, wormhole attacks, spoofing, and… Read full abstract & cite →

Distributed Denial of Service (DDoS) Internet of Things (IoT) Deep Neural Network (DNN) intrusion detection Generative Adversarial Network (GAN)

Abstract doi.org/10.14569/IJACSA.2024.0150637 PDF

38

Natsukashii: A Sentiment Emotion Analytics Based on Recent Music Choice on Spotify

Author 1: Khor Zhen Win Author 2: Mafas Raheem

Natsukashii offers a delightful platform for users to seamlessly connect with their Spotify accounts and delve into cherished musical moments, fostering a profound emotional connection with their recent experiences. This platform harnesses the power of Spotify's data, facilitating a secure connection to users' accounts while ensuring that no Spotify data… Read full abstract & cite →

Spotify sentiment analysis data preparation data visualization web development

Abstract doi.org/10.14569/IJACSA.2024.0150638 PDF

39

Latent Variables Improve Hard-Constrained Controllable Text Generation on Weak Correlation

Author 1: Weigang Zhu Author 2: Xiaoming Liu Author 3: Guan Yang Author 4: Jie Liu Author 5: Haotian Qi

Hard-constrained controllable text generation aims to forcefully generate texts that contain specified constrained vocabulary, fulfilling the demands of more specialized application scenarios in comparison to soft constraint controllable text generation. However, in the presence of multiple weak correlation constraints in the constraint set, soft-constrained controllable models aggravate the constraint loss… Read full abstract & cite →

Latent variables controllable text generation weak correlation hard constraint

Abstract doi.org/10.14569/IJACSA.2024.0150639 PDF

40

Foliar Nitrogen Estimation with Artificial Intelligence and Technological Tools: State of the Art and Future Challenges

Author 1: Angeles Gallegos Author 2: Mayra E. Gavito Author 3: Heberto Ferreira-Medina

Nitrogen plays a fundamental role in plant growth, but its high application has significant negative impacts for the farmers and the environment. This nutrient is often provided in excess to prevent plant growth limitations when it ought to be administered in the exact quantities because many farmers do not have… Read full abstract & cite →

Digital images spectral data estimation models technological tools nitrogen

Abstract doi.org/10.14569/IJACSA.2024.0150640 PDF

41

Image Technology Investigation Based on Fingerprint Devices and Artificial Intelligence

Author 1: Xuemei Zhao

In response to the inaccurate visual positioning of fingerprint data images in investigative techniques, a new method based on wireless networks and artificial intelligence is proposed. The new method integrates wireless networks and image vision, while enhancing fingerprint data and images using cross temporal generative networks and channel state information… Read full abstract & cite →

Investigation technology fingerprint devices image vision fingerprint localization image recognition

Abstract doi.org/10.14569/IJACSA.2024.0150641 PDF

42

Artistic Color Matching Technology Based on Silhouette Coefficient and Visual Perception

Author 1: Huizhou Li Author 2: Wubin Zhu

Now-a-days, traditional color matching methods cannot meet the current market demand. Meanwhile, there are many factors to consider in the design, which affect the design efficiency. Therefore, it is necessary to seek more efficient design methods. So, this study proposed an improved K-Means based on silhouette coefficients and designed an… Read full abstract & cite →

Silhouette coefficient visual perception K-Means color matching similarity measurement Pix2Pix

Abstract doi.org/10.14569/IJACSA.2024.0150642 PDF

43

Virtual Second Life Affects the Existence of Arab Residents

Author 1: Galal Eldin Abbas Eltayeb

The 3D virtual community known as Second Life (SL) which is available on the Internet (www.secondlife.com) represents the latest online services for business, learning, training, and entertainment. People, regional and ethnic groups, business organizations, social activities, and various societal environments populate this world. People who live in this virtual world… Read full abstract & cite →

Internet second life virtual worlds Arab values ethics

Abstract doi.org/10.14569/IJACSA.2024.0150643 PDF

44

Multi-Class Flower Counting Model with Zha-KNN Labelled Images Using Ma-Yolov9

Author 1: A. Jasmine Xavier Author 2: S. Valarmathy Author 3: J. Gowrishankar Author 4: B. Niranjana Devi

The flowering period is a critical time for the growth of plants. Counting flowers can help farmers predict the corresponding fields yield information. As there are several works proposed for flower counting purposes, they lack the prediction of different flowers with counts. Hence, a novel model has been proposed in… Read full abstract & cite →

Flower counting bilateral filter Zhang Shasha Algorithm distance measured-K-Nearest Neighbor (ZSA-KNN) Gradient Intensity-Canny Edge Detection (GI-CED) mish-activated YoloV9

Abstract doi.org/10.14569/IJACSA.2024.0150644 PDF

45

Friend Recommender System to Influence Friends on Social Networks Based on B-Mine Method

Author 1: Tingting Feng Author 2: Wenya Jin Author 3: Wei Li

Social networks are linked by one or more particular kinds of connections, including web links, friends, family, and the sharing of ideas and money. Graph theory is used to investigate social relationships in social network analysis. The individuals within the networks are the vertices, and the connections among them are… Read full abstract & cite →

Influential nodes recommender social networks and B-mine

Abstract doi.org/10.14569/IJACSA.2024.0150645 PDF

46

Transfer Learning-based Weed Classification and Detection for Precision Agriculture

Author 1: Nurul Ayni Mat Pauzi Author 2: Seri Mastura Mustaza Author 3: Nasharuddin Zainal Author 4: Muhammad Faiz Bukhori

Artificial intelligence (AI) technologies, including deep learning (DL), have seen a sharp rise in application in agriculture in recent years. Numerous issues in agriculture have led to crop losses and detrimental effects on the environment. Precision agriculture tasks are becoming increasingly complicated; however, AI facilitates huge improvement in learning capacity… Read full abstract & cite →

Artificial intelligence deep learning CNN transfer learning VGG16

Abstract doi.org/10.14569/IJACSA.2024.0150646 PDF

47

A Hybrid Framework to Implement DevOps Practices on Blockchain Applications (DevChainOps)

Author 1: Ramadan Nasr Author 2: Mohamed I. Marie Author 3: Ahmed El Sayed

As the adoption and utilization of blockchain technology continue to expand in enterprise software development, integrating the established DevOps approach emerges as a rational decision. This integration has the potential to accelerate software development and delivery, enhance software quality, and improve overall productivity. However, there is currently a lack of… Read full abstract & cite →

Blockchain decentralized applications (dapps) DevOps smart contracts continuous integration (CI) continuous deployment (CD) model-driven development (MDD)

Abstract doi.org/10.14569/IJACSA.2024.0150647 PDF

48

Developing a Reliable Hybrid Machine Learning Model for Objective Soccer Player Valuation

Author 1: Hongtao Yu Author 2: Jialiang Li

Football is both a popular sport and a big business. Managers are concerned about the important decisions that team managers make when it comes to player transfers, player valuation issues, and particularly the determination of market values and transfer fees. Market values are important because they can be thought of… Read full abstract & cite →

Market value machine learning soccer player decision tree regression Honey Badger Algorithm Jellyfish Search ptimizer

Abstract doi.org/10.14569/IJACSA.2024.0150648 PDF

49

Security and Privacy Issues in Network Function Virtualization: A Review from Architectural Perspective

Author 1: Bilal Zahran Author 2: Naveed Ahmed Author 3: Abdel Rahman Alzoubaidi Author 4: Md Asri Ngadi

Network Function Virtualization (NFV) delivers numerous benefits to customers since it is a cost-effective evolution of legacy networks, allowing for rapid network augmentation and extension at a low cost as network functions are virtualized. However, on the other hand, there is a big security concern for NFV users because of… Read full abstract & cite →

Network functions virtualization virtualized network function network security security threat cloud computing

Abstract doi.org/10.14569/IJACSA.2024.0150649 PDF

50

An Anomaly Detection Model Based on Pearson Correlation Coefficient and Gradient Booster Mechanism

Author 1: Tuo Ding Author 2: He Sui

Anomaly detection aims to build a decision model that estimates the class of new data based on historical sample features. However, the distance between samples in the feature space is very close sometimes, resulting in samples being invisible to the detection model that is the class overlap problem. To address… Read full abstract & cite →

Anomaly detection class overlap Pearson correlation coefficient gradient booster mechanism

Abstract doi.org/10.14569/IJACSA.2024.0150650 PDF

51

Image Change Detection Based on Fuzzy Clustering and Neural Networks

Author 1: Chenwei Wang Author 2: Xiating Li

In the change detection of synthetic aperture radar images, the image quality and change detection accuracy are difficult to meet the application requirements due to the influence of speckle noise. Therefore, the study improved the fuzzy C-means algorithm by introducing fuzzy membership degree and Gabor texture features. Features were weighted… Read full abstract & cite →

Fuzzy C-means algorithm fuzzy membership degree Gabor texture channel attention neural networks synthetic aperture radar images

Abstract doi.org/10.14569/IJACSA.2024.0150651 PDF

52

Adaptive Channel Coding to Enhance the Performance in Rayleigh Channel

Author 1: Srividya L Author 2: Sudha P. N

Rayleigh fading channel model is usually used to model real time wireless mobile communication as it has the potential to emulate the multipath scattering effect, dispersion, fading, reflection, refraction and Doppler shift. Mobility and interferences, will change the channel conditions over the time and so will the error environment and… Read full abstract & cite →

Adaptive error control coding turbo coding convolutional coding bit error rate throughput Rayleigh channel

Abstract doi.org/10.14569/IJACSA.2024.0150652 PDF

53

Evaluating the Effectiveness of Brain Tumor Image Generation using Generative Adversarial Network with Adam Optimizer

Author 1: Aryaf Al-Adwan

Deep learning models known as Generative Adversarial Networks (GANs) have shown great potential in several applications, such as computer vision and image synthesis. They are now a viable tool in medical imaging, useful for tasks like improving diagnostic model performance, generating new images, and augmenting existing data. This paper aims… Read full abstract & cite →

Generative Adversarial Networks images medical Convolutional Neural Networks

Abstract doi.org/10.14569/IJACSA.2024.0150653 PDF

54

Elevating Aspect-Based Sentiment Analysis in the Moroccan Cosmetics Industry with Transformer-based Models

Author 1: Kawtar Mouyassir Author 2: Abderrahmane Fathi Author 3: Noureddine Assad

In navigating the dynamic consumer landscape, this study emphasizes the collaborative synergy between influencers and brands, focusing on a cosmetics brand in the Moroccan market. Employing advanced Natural Language Processing (NLP) models, the research explores multifaceted aspects to provide a comprehensive insight into consumer sentiments and product aspects. The primary… Read full abstract & cite →

MABST Aspect-Based Sentiment Analysis (ABSA) transformer-based models Moroccan cosmetics industry natural language processing (NLP) influencer marketing albert DistillBERT electra XLNet (Transformer models)

Abstract doi.org/10.14569/IJACSA.2024.0150654 PDF

55

Efficient Squeeze-and-Excitation-Enhanced Deep Learning Method for Automatic Modulation Classification

Author 1: Nadia Kassri Author 2: Abdeslam Ennouaary Author 3: Slimane Bah

The rapid proliferation of mobile devices and Internet of Things (IoT) gadgets has led to a critical shortage of spectral resources. Cognitive Radio (CR) emerges as a propitious technology to tackle this issue by enabling the opportunistic use of underexploited frequency bands. Automatic Modulation Classification (AMC), which serves as a… Read full abstract & cite →

Cognitive radio modulation classification deep learning convolutional neural networks Gated Recurrent Units squeeze and excitation

Abstract doi.org/10.14569/IJACSA.2024.0150655 PDF

56

Personalized Art Design of Wheel Rims Based on Image Mapping of Image Requirements

Author 1: Jianhui Li

In the customization of wheel rims, to convert users’ emotional images and needs into design solutions, research is conducted based on pixel theory, using clustering algorithms, principal component analysis and other technologies to establish image association sample libraries, obtain image mapping relationships, and construct a wheel rim shape design platform… Read full abstract & cite →

Wheels art design styling design user needs image clustering

Abstract doi.org/10.14569/IJACSA.2024.0150656 PDF

57

Enhanced CoCoSo Technique for Sport Teaching Quality Evaluation with Double-Valued Neutrosophic Number Multiple-Attribute Decision-Making

Author 1: Xuan Wen Author 2: Changhong Pan

Only by effectively combining online and offline teaching, and vigorously promoting the integration of online and offline teaching in college physical education, can we maximize the reform and innovation of college physical education teaching, and continuously improve teaching quality. Although blended teaching has become one of the important techniques in… Read full abstract & cite →

Multiple-attribute decision-making (MADM) double-valued neutrosophic sets (DVNSs) CoCoSo technique blended teaching quality evaluation

Abstract doi.org/10.14569/IJACSA.2024.0150657 PDF

58

An Enhanced Secure User Authentication and Authorized Scheme for Smart Home Management

Author 1: Md. Razu Ahmed Author 2: Mohammad Osiur Rahman

Due to rapid and advanced technology, home automation has gained popularity, making daily life easier. Digitalization and automation have encompassed a wide range of activities and industries. IoT will make home automation more affordable and appealing. With IoT-enabled remote appliance control, smart home automation should improve living standards. A home… Read full abstract & cite →

Smart home automation Internet of Things security and privacy ACL IPSec VPN

Abstract doi.org/10.14569/IJACSA.2024.0150658 PDF

59

Integrating Causal Inference and Machine Learning for Early Diagnosis and Management of Diabetes

Author 1: Sahar Echajei Author 2: Mohamed Hafdane Author 3: Hanane Ferjouchia Author 4: Mostafa Rachik

In the context of the increasing prevalence of diabetes, this work focuses on integrating causal inference with Machine Learning (ML) for early diagnosis and effective management of diabetes. We applied a series of advanced techniques to improve model performance, including the use of data preprocessing methods, evaluation of variable importance… Read full abstract & cite →

Machine learning classification causal inference Bayesian networks ensemble technique diabetes diagnosis

Abstract doi.org/10.14569/IJACSA.2024.0150659 PDF

60

Evaluating Noise-Robustness of Convolutional and Recurrent Neural Networks for Baby Cry Recognition

Author 1: Medhanita Dewi Renanti Author 2: Agus Buono Author 3: Karlisa Priandana Author 4: Sony Hartono Wijaya

Reliable baby cry recognition plays a crucial role in infant care and monitoring, yet real-world environment poses challenges to system accuracy due to its background noises. This study proposes a novel CNN architecture for baby cry recognition under varying noise conditions, featuring three convolutional layers, a max pooling layer, and… Read full abstract & cite →

Baby cry recognition deep learning gated recurrent unit long short-term memory noise robustness signal-to-noise ratio

Abstract doi.org/10.14569/IJACSA.2024.0150660 PDF

61

Automated Detection of Learning Styles using Online Activities and Model Indicators

Author 1: Alia Lestari Author 2: Armin Lawi Author 3: Sri Astuti Thamrin Author 4: Nurul Hidayat

Understanding learning styles is essential for learners and instructors to identify strengths and weaknesses in the education system. Although the Felder-Silverman Learning Style Model (FSLSM) is commonly used for this purpose, its reliance on in-person surveys can be time-consuming and prone to inaccuracies. This paper proposes an automated approach using… Read full abstract & cite →

Learning style Felder-Silverman Learning Style Model machine learning support vector machine recursive feature elimination accuracy

Abstract doi.org/10.14569/IJACSA.2024.0150661 PDF

62

Strategies for Optimizing Personalized Learning Pathways with Artificial Intelligence Assistance

Author 1: Weifeng Deng Author 2: Lin Wang Author 3: Xue Deng

With the deepening application of artificial intelligence (AI) in the field of education, Personalized Learning Pathways (PLPs) as a strategy to revolutionize traditional educational models have garnered widespread attention. This paper aims to explore strategies for optimizing PLPs with the aid of AI, in order to enhance learning efficiency, stimulate… Read full abstract & cite →

Personalized learning pathways (PLPs) artificial intelligence (AI) dynamic model incremental learning resource recommendation

Abstract doi.org/10.14569/IJACSA.2024.0150662 PDF

63

ERFN: Leveraging Context for Enhanced Emotion Detection

Author 1: Navneet Gupta Author 2: R. Vishnu Priya Author 3: Chandan Kumar Verma

The majority of previous methods for identifying emotions concentrate on facial expressions rather than taking into account the rich contextual information that suggests significant emotional states. To fully utilize the contextual information in order to make up for the lack of emotion information. In this work, The Emotion Recognition Fusion… Read full abstract & cite →

Context-based emotion recognitions deep learning optical flow CNN

Abstract doi.org/10.14569/IJACSA.2024.0150663 PDF

64

Educational Big Data Mining: Comparison of Multiple Machine Learning Algorithms in Predictive Modelling of Student Academic Performance

Author 1: Ting Tin Tin Author 2: Lee Shi Hock Author 3: Omolayo M. Ikumapayi

Utilisation of Educational Data Mining (EDM) can be useful in predicting academic performance of students to mitigate student attrition rate, allocation of resources, and aid in decision-making processes for higher education institution. This article uses a large dataset from the Programme for International Student Assessment (PISA) consisting of 612,004 participants… Read full abstract & cite →

Academic performance CGPA education data mining machine learning predictive modelling R&D investment

Abstract doi.org/10.14569/IJACSA.2024.0150664 PDF

65

Maximizing Human Capital: Talent Decision-Making Using Information Technology

Author 1: Rui Zhang Author 2: Xiaobai Li Author 3: Gang Liu

In the current fiercely competitive landscape, an organization’s ability to succeed depends on its ability to leverage information technology to support personnel decisions that optimise the use of its people resources. This research examines five different strategies for optimising human capital through the use of information technology within the framework… Read full abstract & cite →

WASPAS information technology virtual reality entropy machine learning T-spherical fuzzy Sets

Abstract doi.org/10.14569/IJACSA.2024.0150665 PDF

66

Power Up on the Go: Designing a Piezoelectric Shoe Charger

Author 1: Jamil Abedalrahim Jamil Alsayaydeh Author 2: Rex Bacarra Author 3: Abdul Halim Bin Dahalan Author 4: Pugaaneswari Velautham Author 5: Khaled Abidallah Salameh Aldarab’ah

As modern society continues to thrive, electricity has become an essential component of daily life. However, as the demand for electricity rises, some electrical loads struggle to perform. This can even affect simple tasks, such as charging a mobile phone. In order to meet the ever-expanding energy demands, it is… Read full abstract & cite →

Piezoelectric (PZT) generates electricity energy harvesting eco-friendly charging servomotor sustainable technology kinetic power generation Arduino control

Abstract doi.org/10.14569/IJACSA.2024.0150666 PDF

67

Validation of a Supply Chain Innovation System Based on Blockchain Technology

Author 1: Ahmed El Maalmi Author 2: Kaoutar Jenoui Author 3: Laila El Abbadi

Technologies play a pivotal role in achieving competitive advantage and operational efficiency. This paper explores the transformative potential of blockchain technology within the context of supply chain operations. While the theoretical promise of blockchain as a secure, transparent, and decentralized transaction recording system is undeniable, practical adoption in supply chain… Read full abstract & cite →

Supply chain management blockchain technologies traceability security validation business validation

Abstract doi.org/10.14569/IJACSA.2024.0150667 PDF

68

Acne Severity Classification on Mobile Devices using Lighweight Deep Learning Approach

Author 1: Nor Surayahani Suriani Author 2: Syaidatus Syahira Ahmad Tarmizi Author 3: Mohd Norzali Hj Mohd Author 4: Shaharil Mohd Shah

Acne is a prevalent skin condition affecting millions of people globally, impacting not just physical health but also mental well-being. Early detection of skin diseases such as acne is important for making treatment decisions to prevent the spread of the disease. The main goal of this project is to develop… Read full abstract & cite →

Acne detection severity level MobileNetV2 convolutional neural network

Abstract doi.org/10.14569/IJACSA.2024.0150668 PDF

69

SVNN-ExpTODIM Technique for Maturity Evaluation of Digital Transformation in Retail Enterprises Under Single-Valued Neutrosophic Sets

Author 1: Xiaoling Yang

The digital economy has become an important force driving the transformation of old and new driving forces in China's economy, and also provides an opportunity for retail enterprises to "overtake" by changing lanes. The evaluation of the maturity of digital transformation in retail enterprises plays an important role in their… Read full abstract & cite →

Multiple-attribute group decision-making (MAGDM) single-valued neutrosophic sets (SVNSs) information entropy exponential TODIM maturity evaluation of digital transformation

Abstract doi.org/10.14569/IJACSA.2024.0150669 PDF

70

Analysis of Research Trends in Maritime Communication

Author 1: G. Pradeep Reddy Author 2: Shrutika Sinha Author 3: Soo-Hyun Park

Maritime industry plays an important role in the transport of various goods and passengers; it is the major contributor to global trade. With the advent of new communication technologies, advances in Artificial Intelligence, and the ubiquitous Internet of Things, the maritime industry is evolving day by day. Effective communication plays… Read full abstract & cite →

Artificial intelligence (AI) internet of things (IoT) maritime communication maritime research trends Scopus

Abstract doi.org/10.14569/IJACSA.2024.0150670 PDF

71

Adaptive Residual Attention Recommendation Model Based on Interest Social Influence

Author 1: Sheng Fang Author 2: Xiaodong Cai Author 3: Yun Xue Author 4: Wei Lu

Existing social recommendation models mostly directly use original social data in the social space. However, original social data may contain a large amount of redundant and noisy social relationships. Additionally, existing feature fusion methods struggle to adaptively fuse features between nodes deeply, which can degrade the recommendation performance of the… Read full abstract & cite →

Social recommendation redundant and noisy interest social mapping social selection mechanism adaptive residual attention mechanism

Abstract doi.org/10.14569/IJACSA.2024.0150671 PDF

72

Receive Satellite-Terrestrial Networks Data using Multi-Domain BGP Protocol Gateways

Author 1: Tieshi Song Author 2: Zhanbo Liu

In terms of communication media, computer network technology has advanced significantly as a way of communication between devices. An Internet protocol called Border Gateway Protocol (BGP) is used to route traffic and share data between AS. But as of right now, BGP version 5 (BGP-5) has a fairly prevalent problem… Read full abstract & cite →

Internet of Things satellite-terrestrial networks multi-domain BGP-5 protocol gateways

Abstract doi.org/10.14569/IJACSA.2024.0150672 PDF

73

High-Resolution Remote Sensing Image Object Detection System for Small Unmanned Aerial Vehicles Based on MPSOC

Author 1: Hui Xia

With the maturation of remote sensing, the applications of small unmanned aerial vehicles are rapidly expanding. Efficient image object detection algorithms have become crucial for information extraction in unmanned aerial vehicles. To meet this demand, an improved YOLOv5s algorithm was developed and deployed within a multi-processor system to optimize the… Read full abstract & cite →

UAVs remote sensing images object recognition deep learning

Abstract doi.org/10.14569/IJACSA.2024.0150673 PDF

74

Dynamic Shader Termination and Throttling for Side-Channel Security on GPUOwl

Author 1: Nelson Lungu Author 2: Satyendr Singh Author 3: Simon Tembo Author 4: Manoj Ranjan Mishra Author 5: Hani Moaiteq Aljahdali Author 6: Lalbihari Barik Author 7: Parthasarathi Pattnayak Author 8: Mahendra Kumar Gourisaria Author 9: Sudhansu Shekhar Patra

GPUs are becoming more and more appealing targets for side-channel attacks because of their high levels of parallelism and shared hardware resources. In order to reduce side-channel assaults on GPUs, we provide a unique dynamic shader termination and throttling approach in this research. The main concept is to use runtime… Read full abstract & cite →

Graphics processing units security side-channel attacks shader throttling GPUOwl

Abstract doi.org/10.14569/IJACSA.2024.0150674 PDF

75

LSTM-GNOG: A New Paradigm to Address Cold Start Movie Recommendation System using LSTM with Gaussian Nesterov’s Optimal Gradient

Author 1: Ravikumar R N Author 2: Sanjay Jain Author 3: Manash Sarkar

In this modern streaming platform, the movie recommendation system is an important tool for enabling the users to find new content specialized to their interests. To address the cold start problem prevalent in movie recommendation systems, we introduce the Long Short-Term Memory-Gaussian Nesterov’s Optimal Gradient (LSTM-GNOG) approach. This model utilizes… Read full abstract & cite →

Cold start Gaussian Nesterov’s optimal gradient long short-term memory movie recommendation system probabilistic matrix factorization

Abstract doi.org/10.14569/IJACSA.2024.0150675 PDF

76

Artificial Intelligence-based Real-Time Electricity Metering Data Analysis and its Application to Anti-Theft Actions

Author 1: Kai Liu Author 2: Anlei Liu Author 3: Xun Ma Author 4: Xuchao Jia

This study focuses on the key issue of anti-stealing behavior identification in power systems, aiming to improve the security and efficiency of power energy management. Under the current background of intelligent power grid, the existence of anti-theft phenomenon not only causes serious economic losses, but also poses a threat to… Read full abstract & cite →

Artificial intelligence real-time electrical energy metering data analysis anti-power theft

Abstract doi.org/10.14569/IJACSA.2024.0150676 PDF

77

An Efficient Ensemble Algorithm for Boosting k-Nearest Neighbors Classification Performance via Feature Bagging

Author 1: Huu-Hoa Nguyen

This paper proposes a novel ensemble algorithm aimed at improving the performance of k-Nearest Neighbors (KNN) classification by incorporating feature bagging techniques, which help overcome the inherent limitations of KNN in Big Data scenarios. The proposed algorithm, termed FBE (Feature Bagging-based Ensemble), employs an efficient ensemble strategy with sorted feature… Read full abstract & cite →

Bagging ensemble feature k-nearest neighbors

Abstract doi.org/10.14569/IJACSA.2024.0150677 PDF

78

A Novel Framework for Sentiment Analysis: Dimensionality Reduction for Machine Learning (DRML)

Author 1: Dhamayanthi N Author 2: Lavanya B

Sentiment analysis is vital for understanding public opinion, but improving its performance is challenging due to the complexities of high-dimensional text data and diverse user-generated content. We propose a novel framework based on Dimensionality Reduction for Machine Learning (DRML) that enhances the classification performance by 21.55% while reducing the dimension… Read full abstract & cite →

Machine learning text mining natural language processing sentiment analysis opinion classification

Abstract doi.org/10.14569/IJACSA.2024.0150678 PDF

79

Text Matching Model Combining Ranking Information and Negative Example Smoothing Strategies

Author 1: Xiaodong Cai Author 2: Lifang Dong Author 3: Yeyang Huang Author 4: Mingyao Chen

Aiming at the problems that current text matching methods are difficult to accurately capture the fine-grained ranking information between texts and the insufficient information interaction between different negative examples, a text matching model combining ranking information and negative example smoothing strategy is proposed. Firstly, it ensures the consistency of the… Read full abstract & cite →

Text matching ranking information negative example smoothing strategy jensen-shannon divergence listnet sorting algorithm

Abstract doi.org/10.14569/IJACSA.2024.0150679 PDF

80

Pest Detection in Agricultural Farms using SqueezeNet and Multi-Layer Perceptron Model

Author 1: Intan Nurma Yulita Author 2: Anton Satria Prabuwono Author 3: Firman Ardiansyah Author 4: Juli Rejito Author 5: Asep Sholahuddin Author 6: Rudi Rosadi

Pest detection is essential to protect agricultural systems from economic losses, lower food production, and environmental degradation. Detection of pests is a crucial aspect of agricultural sustainability because it helps to allocate resources, reduce production costs, and increase producers' profits. Artificial intelligence (AI) has revolutionized the detection of agronomic pests… Read full abstract & cite →

Pest detection Squeezenet multi-layer perceptron deep learning

Abstract doi.org/10.14569/IJACSA.2024.0150680 PDF

81

Lightweight Fire Detection Algorithm Based on Improved YOLOv5

Author 1: Dawei Zhang Author 2: Yutang Chen

Among all kinds of disasters, fire is one of the most frequent and common major disasters that threaten public safety and social development. At present, the widely used smoke sensor method to detect fire is susceptible to factors such as distance, resulting in untimely detection. With the development of computer… Read full abstract & cite →

YOLOv5 FasterNet GSConv VoV-GSCSP Fire detection

Abstract doi.org/10.14569/IJACSA.2024.0150681 PDF

82

A Taxonomy of IDS in IoTs: ML Classifiers, Feature Selection Models, Datasets and Future Directions

Author 1: Hessah Alqahtani Author 2: Monir Abdullah

The applications of the Internet of Things (IoT) are becoming increasingly popular nowadays. Network security and privacy are major concerns of the IoTs, as many IoT devices are connected to the network via the Internet, making IoT networks more vulnerable to various cyber-attacks. An Intrusion Detection System (IDS) is a… Read full abstract & cite →

Intrusion detection system feature selection support vector machine random forest decision tree NSL-KDD

Abstract doi.org/10.14569/IJACSA.2024.0150682 PDF

83

Two-Step Classification for Solving Data Imbalance and Anomalies in an Altman Z-Score-based Bankruptcy Prediction Model

Author 1: Abdul Syukur Author 2: Arry Maulana Syarif Author 3: Ika Novita Dewi Author 4: Aris Marjuni

Differences in bankruptcy regulations with varying value parameters cause data anomalies when implemented in the Altman Z-Score model. Another common problem in bankruptcy predictions is imbalanced data; the number of companies that fall into the bankruptcy category is much smaller than those that do not. Therefore, a novel method was… Read full abstract & cite →

Bankruptcy prediction Altman Z-Score data imbalance and anomaly data binning two-steps classification LSTM rule-based classification

Abstract doi.org/10.14569/IJACSA.2024.0150683 PDF

84

Real-Time Air Quality Monitoring Model using Fuzzy Inference System

Author 1: Muhammad Saleem Author 2: Nitinkumar Shingari Author 3: Muhammad Sajid Farooq Author 4: Beenu Mago Author 5: Muhammad Adnan Khan

Air pollution, which is both environmental and social, is a serious issue that affects people's health as well as ecosystems and the environment. Air pollution currently poses a number of health problems to the ecosystem. The most important factor that has a direct impact on disease occurrence and decreases people's… Read full abstract & cite →

IoT fuzzy inference system smart city air quality monitoring

Abstract doi.org/10.14569/IJACSA.2024.0150684 PDF

85

From Technical Indicators to Trading Decisions: A Deep Learning Model Combining CNN and LSTM

Author 1: SAHIB Mohamed Rida Author 2: ELKINA Hamza Author 3: ZAKI Taher

Stock market prediction is a highly attractive and popular field within finance, driven by the potential for significant profits that come with substantial risks due to data non-linearity and complex economic principles. Extracting features from trading data is crucial in this domain, and numerous strategies have been developed. Among these… Read full abstract & cite →

Stock market prediction CNN-LSTM hybrid model financial time series technical indicators CNN LSTM

Abstract doi.org/10.14569/IJACSA.2024.0150685 PDF

86

Multimodal Sentiment Analysis using Deep Learning Fusion Techniques and Transformers

Author 1: Muhaimin Bin Habib Author 2: Md. Ferdous Bin Hafiz Author 3: Niaz Ashraf Khan Author 4: Sohrab Hossain

Multimodal sentiment analysis extracts sentiments from multiple modalities like text, images, audio, and videos. Most of the current sentiment classifications are based on single modality which is less effective due to simple architecture. This paper studies multimodal sentiment analysis by combining several deep learning text and image processing models. These… Read full abstract & cite →

Multimodal sentiment analysis deep learning transfer learning natural language processing image processing BERT

Abstract doi.org/10.14569/IJACSA.2024.0150686 PDF

87

Assessing the Impact of Digitalization on Internal Auditing Function

Author 1: Khawla Karimallah Author 2: Hicham Drissi

Over the past decades, the business environment has become increasingly digitized. Advances in new technologies are driving significant organizational change. Over the years, the internal audit as a governance actor, has adapted to meet the demands of the evolving business environment, and its role in consulting activities has been a… Read full abstract & cite →

Digitalization data analytics organization Internal Audit Function (IAF) agility

Abstract doi.org/10.14569/IJACSA.2024.0150687 PDF

88

A Comprehensive Machine Learning Framework for Anomaly Detection in Credit Card Transactions

Author 1: Fathe Jeribi

Cybercrimes originate in a variety of forms, and the majority of crimes involve credit cards. Despite various steps taken to prevent credit card fraud, it is crucial to alert customers to unusual attempts at fraudulent transactions. The internet has been largely geared to meet this challenge. Many studies have been… Read full abstract & cite →

Cybersecurity anomaly detection machine learning optimization nearmiss SMOTE

Abstract doi.org/10.14569/IJACSA.2024.0150688 PDF

89

Defect Prediction of Finite State Machine Models Based on Transfer Learning

Author 1: Wei Zhang

As software systems become increasingly intricate, predicting cache defects has emerged as a crucial aspect of maintaining software quality. This article introduces a novel approach for predicting cache defects, utilizing a transfer learning (TL) software deterministic finite state machine (DFSM) model. Finite State Machine (DFSM) model defect prediction based on… Read full abstract & cite →

Transfer learning DFSM software defects defect prediction

Abstract doi.org/10.14569/IJACSA.2024.0150689 PDF

90

A Novel Fuzzy-based Spectrum Allocation (FBSA) Technique for Enhanced Quality of Service (QoS) in 6G Heterogeneous Networks

Author 1: S. B. Prakalya Author 2: Samuthira Pandi V Author 3: S. Sujatha Author 4: R. Thangam Author 5: D. Karunkuzhali Author 6: G. Keerthiga

This research focuses on Device to Any device (D2A) communication for 6G in unpredictable circumstances where the topology of the D2A network changes over time as a result of the mobility of D2A Devices. Extremely sophisticated applications with demands for ultra-low latency and ultra-high data rate can be made achievable… Read full abstract & cite →

FBSA D2A 6G spectrum allocation QoS

Abstract doi.org/10.14569/IJACSA.2024.0150690 PDF

91

Quality of Service-Oriented Data Optimization in Networks using Artificial Intelligence Techniques

Author 1: Zhenhua Yang Author 2: Qiwen Yang Author 3: Minghong Yang

This paper outlines a comprehensive AI-driven Quality of Service (QoS) optimization method, presenting a rigorous examination of its effectiveness through extensive experimentation and analysis. By applying real-world datasets to simulate network environments, the study systematically evaluates the proposed method’s impact across various QoS metrics. Key findings reveal substantial enhancements in… Read full abstract & cite →

Artificial intelligence networking quality of service-oriented data optimization

Abstract doi.org/10.14569/IJACSA.2024.0150691 PDF

92

Evolving Security for 6G: Integrating Software-Defined Networking and Network Function Virtualization into Next-Generation Architectures

Author 1: JAADOUNI Hatim Author 2: CHAOUI Habiba Author 3: SAADI Chaimae

As technology continues to advance, the emergence of 6G networks is imminent, promising unprecedented levels of connectivity and innovation. A critical aspect of designing the security architecture for 6G networks revolves around the utilization of Software-Defined Networking (SDN) and Network Function Virtualization (NFV) technologies. By harnessing the capabilities of SDN… Read full abstract & cite →

6G Network network function virtualization software defined network security architecture

Abstract doi.org/10.14569/IJACSA.2024.0150692 PDF

93

Improving Image Stitching Effect using Super-Resolution Technique

Author 1: Jinjun Liu

This paper aims to present a novel methodology that merges image stitching with super-resolution techniques, enabling the creation of a high-resolution panoramic image from several low-resolution inputs. The proposed approach comprehensively addresses challenges throughout the process, encompassing image preprocessing, alignment and handling of mismatches, stitching, super-resolution reconstruction, and post-processing. Employing… Read full abstract & cite →

Image stitching super-resolution technology vision and image processing

Abstract doi.org/10.14569/IJACSA.2024.0150693 PDF

94

The Design and Execution of a Multimedia Information Intelligent Processing System Oriented to User Experience

Author 1: Hongmei Liu

With the rapid growth of the world economy and the increasing pursuit of culture and entertainment, the integration of multimedia database technology and networks has become crucial. Through extensive research, this integration allows for seamless integration of multimedia information (MI) and promotes accelerated development of cultural exchange on the internet… Read full abstract & cite →

User experience multimedia information intelligent processing wireless network

Abstract doi.org/10.14569/IJACSA.2024.0150694 PDF

95

Optimized Task Scheduling in Cloud Manufacturing with Multi-level Scheduling Model

Author 1: Xiaoli ZHU

Cloud Manufacturing (CMfg) utilizes the cloud computing paradigm to provide manufacturing services over the Internet flexibly and cost-effectively, where users only pay for what they use and may access services as needed. The scheduling method directly impacts the overall efficiency of CMfg systems. Manufacturing industries supply services aligned with customer-specific… Read full abstract & cite →

Cloud manufacturing multi-level scheduling model task scheduling multi-objective optimization resource allocation

Abstract doi.org/10.14569/IJACSA.2024.0150695 PDF

96

Creativity in the Digital Canvas: A Comprehensive Analysis of Art and Design Education Pedagogy

Author 1: Qian TONG

Promoting creativity in the dynamic field of education has become a critical goal for educators, aiming to prepare students with the essential abilities for success in various professional and personal situations. As educational institutions globally attempt to promote creative learning outcomes, there is still a notable lack of knowledge regarding… Read full abstract & cite →

Creativity art and design education pedagogical practices learning outcomes assessment grounded theory

Abstract doi.org/10.14569/IJACSA.2024.0150696 PDF

97

Identification of the Main Traditional Project Management Methods Through a Systematic Literature Review

Author 1: Fernanda Souza Valadares Author 2: Naira Cristina Souza Moura Author 3: Tábata Nakagomi Fernandes Pereira Author 4: Milena De Oliveira Arantes

Traditional project management methods are specific, predictable and seek to keep the planning as detailed as possible and, even over time, companies continue to integrate them into their processes. The present study aims to raise the main traditional methods of Project Management, to present them in more detail, through a… Read full abstract & cite →

Traditional methods project management framework PMBOK®

Abstract doi.org/10.14569/IJACSA.2024.0150697 PDF

98

Intelligent Transport Systems: Analysis of Applications, Security Challenges, and Robust Countermeasures

Author 1: Mada Alharb Author 2: Abdulatif Alabdulatif

Intelligent Transport Systems (ITS) are instrumental in optimizing transportation networks, enhancing efficiency, and promoting sustainable mobility in smart cities and advanced technological environments. However, the increasing integration of digital technologies in transportation infrastructure introduces cyber-physical risks and privacy concerns. This paper aims to explore the diverse applications of ITS, and… Read full abstract & cite →

Intelligent Transport Systems (ITS) cybersecurity urban mobility anomaly detection systems privacy concerns

Abstract doi.org/10.14569/IJACSA.2024.0150698 PDF

99

Spectral Mixture Analysis-based WQI with Convolutional Long Short-Term Memory Techniques

Author 1: Ika Oktavianti Author 2: Yusuf Hartono Author 3: Sukemi

Surface water, including river water, is an important natural resource for human life. However, river water quality in Indonesia often declines due to various factors, such as excessive water consumption, waste pollution, and natural disasters. This study aims to predict the Water Quality Index (WQI) of rivers using Spectral Mixture… Read full abstract & cite →

Water quality index Spectral Mixture Analysis remote sensing deep learning convolutional long short-term memory

Abstract doi.org/10.14569/IJACSA.2024.0150699 PDF

100

UAV Path Planning Method Considering Safety and Signal Shielding Risk

Author 1: Xiaoyong Chen Author 2: Jiajun Fang Author 3: Yanjie Zhai

In order to meet the needs for the safe operation of unmanned aerial vehicles (UAV)s in cities, this paper proposes a multi-objective path planning method based on a particle swarm optimization algorithm. Firstly, a complex urban environment model is constructed by using the grid method. Then, taking the total length… Read full abstract & cite →

Multi-objective particle swarm optimization path planning cubic B-splines

Abstract doi.org/10.14569/IJACSA.2024.01506100 PDF

101

The Application of AES-SM2 Hybrid Encryption Algorithm in Big Data Security and Privacy Protection

Author 1: Pingyun Huang Author 2: Guizhou Liao Author 3: Jianhong Ren

In the times of big data, information security and privacy protection have become important issues facing today's society. To address big data's security and privacy problems, research designs and implements a hybrid encryption method using advanced encryption standard algorithms and standard encryption module 2 algorithms for encryption operations. This method… Read full abstract & cite →

AES SM2 privacy protection encryption algorithm data security

Abstract doi.org/10.14569/IJACSA.2024.01506101 PDF

102

Bionic Hand Movements Recognition: A Unified Framework with Attention-Guided ROI Identification and the Bionic Fusion Net Approach

Author 1: Prakash. S Author 2: Josephine H. H Author 3: Priya. S Author 4: M. Batumalay

In prosthetics, bionic hand movement recognition is crucial to developing sophisticated systems that can effectively understand and react to human motions. Recent advances in image processing, feature extraction, and deep learning have improved bionic hand movement detection systems' accuracy and flexibility. This study proposes a unified framework called using attention-guided… Read full abstract & cite →

Bionic Hand Optimized Red Fox Falcon Algorithm Xception Squeeze-Net Shuffle-Net Bi-LSTM Huber Loss Sustainable Development Goals (SDG) good health well-being health policy

Abstract doi.org/10.14569/IJACSA.2024.01506102 PDF

103

Blockchain-based and IoT-based Health Monitoring App: Lowering Risks and Improving Security and Privacy

Author 1: Chelsey C. Y. Hang Author 2: M. Batumalay Author 3: T D Subash Author 4: R. Thinakaran Author 5: B. Chitra

Blockchain technology is known for its decentralized and immutable nature, which makes it highly resistant to hacking and unauthorized access. This would ensure that patients' private health information remains secure and protected from potential breaches. Moreover, the use of blockchain can also enhance data integrity by creating a transparent and… Read full abstract & cite →

IoT health monitoring system security and privacy and blockchain technology health policy

Abstract doi.org/10.14569/IJACSA.2024.01506103 PDF

104

Classification of Pneumonia from Chest X-ray images using Support Vector Machine and Convolutional Neural Network

Author 1: M. Fariz Fadillah Mardianto Author 2: Alfredi Yoani Author 3: Steven Soewignjo Author 4: I Kadek Pasek Kusuma Adi Putra Author 5: Deshinta Arrova Dewi

Pneumonia presents a global health challenge, especially in distinguishing bacterial and viral types via chest X-ray diagnostics. This study focuses on deep learning models Convolutional Neural Networks (CNN) and Support Vector Machines (SVM) for pneumonia classification. Our findings highlight CNN's superior performance. It achieves 91% accuracy overall, outperforming SVM's 79%… Read full abstract & cite →

Pneumonia chest X-ray Support Vector Machine Convolutional Neural Network SDGs Society 5.0

Abstract doi.org/10.14569/IJACSA.2024.01506104 PDF

105

Multimodal Application of GAN in the Image Recognition of Wheat Diseases and Insect Pests

Author 1: Bing Li Author 2: Shaoqing Yang Author 3: Zeqiang Wang

“Food is the most important thing for the people”, Food is intricately linked to both the national economy and the livelihood of the people, serving as a vital material for our daily existence. Wheat, standing as one of the three core grain crops, holds paramount importance in safeguarding national food… Read full abstract & cite →

Deep Learning Identification of diseases and insect pests Image classification System development

Abstract doi.org/10.14569/IJACSA.2024.01506105 PDF

106

Improving the Prediction of Student Performance by Integrating a Random Forest Classifier with Meta-Heuristic Optimization Algorithms

Author 1: Chao Ma

Anticipating student performance in higher education is crucial for informed decision-making and the reduction of dropout rates. This study focuses on the intricate analysis of diverse educational datasets using machine learning, particularly emphasizing dimensionality reduction. The aim is to empower educators with data-driven insights, enabling timely interventions for academic improvement… Read full abstract & cite →

Classification student performance machine learning Random Forest Classifier Electric Charged Particles Optimization Artificial Rabbits Optimization

Abstract doi.org/10.14569/IJACSA.2024.01506106 PDF

107

A Novel Hybrid Deep Neural Network Classifier for EEG Emotional Brain Signals

Author 1: Mahmoud A. A. Mousa Author 2: Abdelrahman T. Elgohr Author 3: Hatem A. Khater

The field of brain computer interface (BCI) is one of the most exciting areas in the field of scientific research, as it can overlap with all fields that need intelligent control, especially the field of the medical industry. In order to deal with the brain and its different signals, there… Read full abstract & cite →

BCI EEG Brain Signals Classification SVM LSTM CNN CNN-LSTM

Abstract doi.org/10.14569/IJACSA.2024.01506107 PDF

108

Three-Dimensional Animation Capture Driver Technology for Digital Media

Author 1: Wanjie Dong

For the motion capture driving technology of three-dimensional animation, this study combines skeleton extraction methods and human motion pose data to construct the human skeleton of three-dimensional animated characters. Combining matching algorithms and action recognition techniques, the postures of the human three-dimensional model were tested and analyzed. The experimental results… Read full abstract & cite →

3D animation computer vision motion matching algorithm human 3D skeletal model motion capture technology

Abstract doi.org/10.14569/IJACSA.2024.01506108 PDF

109

The Impact of Path Planning Model Based on Improved Ant Colony Optimization Algorithm on Green Traffic Management

Author 1: Huan Yu

In response to the demand for green city construction, low-carbon travel standards have been further implemented. This research focuses on intelligent transportation management and designs path planning algorithms. Firstly, the basic model of the proposed ant colony optimization algorithm was constructed. In response to the poor convergence of traditional algorithms… Read full abstract & cite →

Ant colony optimization A* path planning obstacle avoidance traffic control

Abstract doi.org/10.14569/IJACSA.2024.01506109 PDF

110

A Study on Life Insurance Early Claim Detection Modeling by Considering Multiple Features Transformation Strategies for Higher Accuracy

Author 1: Tham Hiu Huen Author 2: Lim Tong Ming

Early claims in the life insurance sector can lead to significant financial losses if not properly managed. This paper experiments a number of feature selection such as values regrouping, over or undersampling, and encoding that aim to enhance early claim detection by considering five (5) different machine learning algorithms. Utilizing… Read full abstract & cite →

Machine learning feature selection life insurance binary classification Random Forest

Abstract doi.org/10.14569/IJACSA.2024.01506110 PDF

111

A Hybrid Framework for Evaluating Financial Market Price: An Analysis of the Hang Seng Index Case Study

Author 1: Runhua Liu Author 2: Zhengfeng Yang Author 3: Juan Su Author 4: Yu Cao

The accurate prediction of financial outcomes presents a considerable challenge as a result of the intricate interaction of economic fundamentals, market dynamics, and investor psychology. The task of accurately forecasting stock prices in the securities market is a challenging undertaking owing to the presence of non-stationary, non-linearity, and significant volatility… Read full abstract & cite →

Efficient market Hang Seng Index stock forecasting support vector regression Aquila optimizer

Abstract doi.org/10.14569/IJACSA.2024.01506111 PDF

112

A Multi-Modal CNN-based Approach for COVID-19 Diagnosis using ECG, X-Ray, and CT

Author 1: Kumar Keshamoni Author 2: L Koteswara Rao Author 3: D. Subba Rao

Controlling the spread of Coronavirus Disease 2019 (COVID-19) and reducing its impact on public health need prompt identification and treatment. To improve diagnostic accuracy, this study attempts to create and assess a Multi-Modality COVID-19 Diagnosis System that integrates X-ray, Electrocardiogram (ECG), and Computed Tomography (CT) images utilizing Convolutional Neural Network… Read full abstract & cite →

COVID-19 Diagnosis Multi-Modality Imaging Convolutional Neural Networks (CNN) CT imaging Gaussian filtering

Abstract doi.org/10.14569/IJACSA.2024.01506112 PDF

113

Advancing Healthcare Anomaly Detection: Integrating GANs with Attention Mechanisms

Author 1: Thakkalapally Preethi Author 2: Afsana Anjum Author 3: Anjum Ara Ahmad Author 4: Chamandeep Kaur Author 5: Vuda Sreenivasa Rao Author 6: Yousef A.Baker El-Ebiary Author 7: Ahmed I. Taloba

Early illness diagnosis, treatment monitoring, and healthcare administration all depend heavily on the identification of abnormalities in medical data. This paper proposes a unique way to improve healthcare anomaly detection through the integration of attention mechanisms and Generative Adversarial Networks (GANs) for improved performance. By integrating GANs, artificial data that… Read full abstract & cite →

Generative Adversarial Networks (GANs) Convolutional Block Attention Module (CBAM) anomaly detection attention mechanism healthcare

Abstract doi.org/10.14569/IJACSA.2024.01506113 PDF

114

BrainLang DL: A Deep Learning Approach to FMRI for Unveiling Neural Correlates of Language across Cultures

Author 1: A. Greeni Author 2: Yousef A.Baker El-Ebiary Author 3: G. Venkata Krishna Author 4: G. Vikram Author 5: Kuchipudi Prasanth Kumar Author 6: Ravikiran K Author 7: B Kiran Bala

Employing deep learning techniques on fMRI data enables the exploration of universal and culturally specific neural correlates underlying language processing across diverse populations. The study presents "BrainLang DL," a novel deep learning (DL) approach leveraging functional Magnetic Resonance Imaging (fMRI) data to unveil neural correlates of language processing across diverse… Read full abstract & cite →

Long Short-Term Memory Gated Recurrent Unit deep learning functional magnetic resonance imaging language

Abstract doi.org/10.14569/IJACSA.2024.01506114 PDF

115

Navigating XRP Volatility: A Deep Learning Perspective on Technical Indicators

Author 1: Susrita Mahapatro Author 2: Prabhat Kumar Sahu Author 3: Asit Subudhi

The rise of cryptocurrency has dramatically changed. Cryptocurrencies have dramatically reshaped the landscape of financial transactions, enabling seamless cross-border exchanges without centralized oversight. This revolutionary shift, powered by blockchain technology, has democratized currency control, entrusting it to a widespread network of participants rather than a single entity. Originating from Satoshi… Read full abstract & cite →

Cryptocurrency ripple convolutional neural network gated recurrent unit technical indicators

Abstract doi.org/10.14569/IJACSA.2024.01506115 PDF

116

Cross-Cultural Language Proficiency Scaling using Transformer and Attention Mechanism Hybrid Model

Author 1: Anna Gustina Zainal Author 2: M. Misba Author 3: Punit Pathak Author 4: Indrajit Patra Author 5: Adapa Gopi Author 6: Yousef A.Baker El-Ebiary Author 7: Prema S

Assessing language competency in a variety of linguistic and cultural situations requires the use of a cross-cultural language proficiency scale. This study suggests a hybrid model that takes cross-cultural characteristics into account and successfully scales language competency by combining Transformer design with attention processes. The approach seeks to improve the… Read full abstract & cite →

Cross-cultural language proficiency transformer attention mechanism hybrid model

Abstract doi.org/10.14569/IJACSA.2024.01506116 PDF

117

Utilizing Machine Learning and Deep Learning Approaches for the Detection of Cyberbullying Issues

Author 1: Aiymkhan Ostayeva Author 2: Zhazira Kozhamkulova Author 3: Zhadra Kozhamkulova Author 4: Yerkebulan Aimakhanov Author 5: Dina Abylkhassenova Author 6: Aisulu Serik Author 7: Kuralay Turganbay Author 8: Yegenberdi Tenizbayev

This research paper delves into the intricate domain of cyberbullying detection on social media, addressing the pressing issue of online harassment and its implications. The study encompasses a comprehensive exploration of key aspects, including data collection and preprocessing, feature engineering, machine learning model selection and training, and the application of… Read full abstract & cite →

Machine learning cyberbullying feature engineering feature extraction feature selection

Abstract doi.org/10.14569/IJACSA.2024.01506117 PDF

118

Quantum-Enhanced Security Advances for Cloud Computing Environments

Author 1: Devulapally Swetha Author 2: Shaik Khaja Mohiddin

Recent developments in quantum-enhanced security have demonstrated encouraging promise for enhancing cloud computing environments' security. Utilizing quantum physics, in particular Quantum Key Distribution (QKD), provides a new method for generating cryptographic keys and improves cloud data transport security. The present study offers a thorough investigation of the integration of QKD… Read full abstract & cite →

Quantum-enhanced security cloud computing quantum key distribution advanced encryption standard key management

Abstract doi.org/10.14569/IJACSA.2024.01506118 PDF

119

Harnessing Machine Learning and Meta-Heuristic Algorithms for Accurate Cooling Load Prediction

Author 1: Yanfang Zhang

Precisely calculating the cooling load is essential to improving the energy efficiency of cooling systems, as well as maximizing the performance of chillers and air conditioning controls. Machine learning (ML) has better capabilities in this area than conventional techniques and regression analysis, which are lacking. ML models are capable of… Read full abstract & cite →

Building energy cooling load machine learning Gaussian Process Regression Improved Manta-Ray Foraging Optimizer Weevil Damage Optimization Algorithm

Abstract doi.org/10.14569/IJACSA.2024.01506119 PDF

120

A New Complementary Empirical Ensemble Mode Decomposition Method for Respiration Extraction

Author 1: Xiangkui Wan Author 2: Wenxin Gong Author 3: Yunfan Chen Author 4: Yang Liu

Respiration monitoring is essential for diagnosing and managing a variety of diseases. It is a non-invasive, convenient and effective method to derive breathing from ECG signals. This paper proposes a new complementary ensemble empirical mode decomposition (NCEEMD) method for respiration extraction. By additional ensemble empirical mode decomposition (EEMD) of the… Read full abstract & cite →

ECG white gaussian noise complementary ensemble empirical mode decomposition ECG-derived respiration (EDR)

Abstract doi.org/10.14569/IJACSA.2024.01506120 PDF

121

Sleep Apnea and Rapid Eye Movement Detection using ResNet-50 and Gradient Boost

Author 1: Ganti Venkata Varshini Author 2: Sakthivel V Author 3: Prakash P Author 4: Mansoor Hussain D Author 5: Jae Woo Lee

Sleep apnea is a prevalent sleep problem marked by interruptions in breathing or superficial breaths while asleep. This frequently results in disrupted sleep patterns and can pose significant health risks such as cardiovascular issues and daytime exhaustion Rapid Eye Movement (REM) sleep stage is easily identifiable due to rapid eye… Read full abstract & cite →

Sleep Apnea Rapid Eye movement ResNet-50 Gradient boost sleep stage sleep disorders

Abstract doi.org/10.14569/IJACSA.2024.01506121 PDF

122

Advanced Diagnosis of Polycystic Ovarian Syndrome using Machine Learning and Multimodal Data Integration

Author 1: Nethra Sai M Author 2: Sakthivel V Author 3: Prakash P Author 4: Vishnukumar K Author 5: Dugki Min

PCOS is a common endocrine disorder that impacts women in their reproductive years characterized by irregular menstrual cycles, hyperandrogenism, and polycystic ovaries. Polycystic Ovary Syndrome (PCOS) presents significant challenges in diagnosis due to its heterogeneous nature and varied clinical manifestations. This project aimed to develop a comprehensive system for PCOS… Read full abstract & cite →

PCOS ultrasound images clinical data feature extraction classification Rotterdam criteria

Abstract doi.org/10.14569/IJACSA.2024.01506122 PDF

123

Predictive Modeling of Student Performance Through Classification with Gaussian Process Models

Author 1: Xiaowei ZHANG Author 2: Junlin YUE

In the contemporary educational landscape, proactively engaging in predictive assessment has become indispensable for academic institutions. This strategic imperative involves evaluating students based on their innate aptitude, preparing them adequately for impending examinations, and fostering both academic and personal development. Alarming statistics underscore a notable failure rate among students, particularly… Read full abstract & cite →

Academic performance language hybrid algorithms Gaussian Process Classification population-based Vortex Search Algorithm COOT Optimization Algorithm

Abstract doi.org/10.14569/IJACSA.2024.01506123 PDF

124

Fiber Tracking Method with Adaptive Selection of Peak Direction Based on CSD Model

Author 1: Qian Zheng Author 2: Kefu Guo Author 3: Jiaofen Nan Author 4: Lujuan Deng Author 5: Junying Cheng

As a multi-fiber tracking model, the constrained spherical deconvolution (CSD) model is widely used in the field of fiber reconstruction. The CSD model has shown good reconstruction capabilities for crossing fibers in low anisotropy regions, which can achieve more accurate results in terms of brain fiber reconstruction. However, the current… Read full abstract & cite →

Diffusion magnetic resonance imaging constrained spherical deconvolution fiber orientation distribution fiber tractography

Abstract doi.org/10.14569/IJACSA.2024.01506124 PDF

125

Federated LSTM Model for Enhanced Anomaly Detection in Cyber Security: A Novel Approach for Distributed Threat

Author 1: Aradhana Sahu Author 2: Yousef A.Baker El-Ebiary Author 3: K. Aanandha Saravanan Author 4: K. Thilagam Author 5: Gunnam Rama Devi Author 6: Adapa Gopi Author 7: Ahmed I. Taloba

Technological improvements have led to a rapid expansion of the digital realm, raising concerns about cyber security. The last ten years have seen an enormous rise in Internet applications, which has greatly raised the requirement for information network security. In the realm of cyber security, detecting anomalies efficiently and effectively… Read full abstract & cite →

Federated learning LSTM anomaly detection cyber security distributed threats privacy-preserving model training

Abstract doi.org/10.14569/IJACSA.2024.01506125 PDF

126

Optimizing Industrial Engineering Performance with Fuzzy CNN Framework for Efficiency and Productivity

Author 1: Suraj Bandhekar Author 2: Abdul Hameed Kalifullah Author 3: Venkata Krishna Rao Likki Author 4: Hatem S. A. Hamatta Author 5: Deepa Author 6: Tumikipalli Nagaraju Yadav

In industrial engineering, efficiency is paramount. Convolutional Neural Networks (CNNs) are commonly used to identify and detect labour activity in industrial environments. Accurate fault detection is crucial for identifying and classifying defects in production. This research proposes a novel approach to enhancing industrial performance by predicting defects in manufacturing processes… Read full abstract & cite →

Industrial Engineering performance manufacturing industry fuzzy-based convolutional neural network fault diagnostic

Abstract doi.org/10.14569/IJACSA.2024.01506126 PDF

127

A Comparative Study Between Linear and Affine Multi-Model in Predictive Control of a Nonlinear Dynamic System

Author 1: Houda Mezrigui Author 2: Wassila Chagra Author 3: Maher Ben Hariz

Model Predictive Control (MPC) is the most successful control strategy that coped in many areas. However, the success of an MPC scheme lies in the accuracy of the adopted prediction model. This paper treats the problem of MPC when there is a need to a larger domain of set-point values… Read full abstract & cite →

Affine models linear models static characteristic linear model predictive control prediction horizon tracking performances

Abstract doi.org/10.14569/IJACSA.2024.01506127 PDF

128

Blockchain-Enabled Decentralized Trustworthy Framework Envisioned for Patient-Centric Community Healthcare

Author 1: Mohammad Khalid Imam Rahmani Author 2: Javed Ali Author 3: Surbhi Bhatia Khan Author 4: Muhammad Tahir

Ethereum has gained significant attention from businesses as a blockchain technology since its conception. Beyond the first use of cryptocurrencies, it provides many additional features. In the pharmaceutical sector, where reliable supply chains are necessary for cross-border transactions, Ethereum shows promise. It addresses problems through quality, traceability, and transparency in… Read full abstract & cite →

Blockchain smart contract externally owned accounts decentralized trustworthy framework community healthcare Ethereum supply chain management

Abstract doi.org/10.14569/IJACSA.2024.01506128 PDF

129

Design and Optimization of Reversible Information Hiding Image Encryption Algorithms in the Context of Electronic Information Security

Author 1: Li Zhang Author 2: Keke Shan

With the widespread application of electronic information, in order to meet the growing security needs in the field of electronic information security, a new encryption algorithm based on a novel chaotic map with traversal and chaos characteristics has been proposed. By introducing a hash algorithm and chaotic map, the randomness… Read full abstract & cite →

Information security reversible information hiding key sensitivity chaos system optimization

Abstract doi.org/10.14569/IJACSA.2024.01506129 PDF

130

Smart Parking: An Efficient System for Parking and Payment

Author 1: Md Ezaz Ahmed Author 2: Mohammad Arif Author 3: Mohammad Khalid Imam Rahmani Author 4: Md Tabrez Nafis Author 5: Javed Ali

In addition to being a time-consuming and annoying driving experience, searching for a cheap and empty parking space also wastes fuel and pollutes the air. In densely populated cities, there are limited and expensive public parking spaces. On the other hand, private parking spaces are typically underutilized, and the parking… Read full abstract & cite →

Smart parking Internet of Things sensors simulation NS3 VANET

Abstract doi.org/10.14569/IJACSA.2024.01506130 PDF

131

Design of Network Security Assessment and Prediction Model Based on Improved K-means Clustering and Intelligent Optimization Recurrent Neural Network

Author 1: Qianqian Wang Author 2: Xingxue Ren Author 3: Lei Li Author 4: Huimin Peng

Aiming at the security problems in cyberspace, the study proposes a cyber security assessment and prediction model based on improved K-means and intelligent optimization recurrent neural network. Firstly, based on traditional self-encoder and K-means algorithm, sparse self-encoder and K-means++ algorithm are proposed to build a cyber security posture assessment model… Read full abstract & cite →

K-means cybersecurity situational assessment situational prediction self-encoder

Abstract doi.org/10.14569/IJACSA.2024.01506131 PDF

132

Robust Chaos Image Encryption System using Modification Logistic Map, Gingerbread Man and Arnold Cat Map

Author 1: Lina Jamal Ibrahim Author 2: John Bush Idoko Author 3: Almuntadher M. Alwhelat

In the field of security, the information must be protected from unauthorized use because it contains a great deal of sensitive information especially in images. Image encryption is now recognized as an outstanding strategy for protecting images from attackers. Despite numerous advancements, an efficient image encryption method remains essential to… Read full abstract & cite →

Arnold cat map confusion diffusion image encryption modification logistic map

Abstract doi.org/10.14569/IJACSA.2024.01506132 PDF

133

A Data Sharing Privacy Protection Model Based on Federated Learning and Blockchain Technology

Author 1: Fei Ren Author 2: Zhi Liang

As the main driving force for social development in the new era, data sharing is controversial in terms of privacy and security. Traditional privacy protection methods are a bit challenging when faced with complex and massive shared data. Given this, firstly, the Byzantine consensus algorithm in blockchain technology was elaborated… Read full abstract & cite →

Federated learning blockchain data sharing privacy reputation

Abstract doi.org/10.14569/IJACSA.2024.01506133 PDF

134

Time Window NSGA-II Route Planning Algorithm for Home Care Appointment Scheduling in the Elderly Industry

Author 1: Guoping Xie

Given the lack of healthcare resources, the home care sector faces a serious challenge in figuring out how to maximize the effectiveness of healthcare employees' services and raise consumer satisfaction. In this study, a model for healthcare worker scheduling and path planning is built. Fuzzy time window theory is used… Read full abstract & cite →

FTWNSGA-II aging in place path planning appointment scheduling fuzzy time windows

Abstract doi.org/10.14569/IJACSA.2024.01506134 PDF

135

The Application of Optimization Algorithms for Workflow Scheduling Based on Cloud Computing IaaS Environment in Industry Multi-Cloud Scenarios

Author 1: Cunbing Li

The advancement of cloud computing has enabled workflow scheduling to provide users with more network resources. However, there are some scheduling issues between resource allocation and user needs in workflows in IaaS environments. Based on this, this study adopts a heuristic scheduling model based on deadline and list and constructs… Read full abstract & cite →

Cloud computing IaaS scheduling model evolutionary algorithms heuristic model

Abstract doi.org/10.14569/IJACSA.2024.01506135 PDF

136

RETRACTED: Optimization of Robot Environment Interaction Based on Asynchronous Advantage Actor-Critic Algorithm

Author 1: Jitang Xu Author 2: Qiang Chen

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IJACSA`s Publication Principles. We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this… Read full abstract & cite →

A3C robot environment interaction intelligent technology simulation testing

Abstract doi.org/10.14569/IJACSA.2024.01506136 PDF

137

Appraising the Building Cooling Load via Hybrid Framework of Machine Learning Techniques

Author 1: Longlong Yue Author 2: Xiangli Liu Author 3: Shiliang Chang

The overarching objective of this study lies in the thorough evaluation of the effectiveness of K-nearest neighbors (KNN) models in the precise estimation of building cooling load consumption. This assessment holds significant importance as it pertains to the feasibility and reliability of implementing machine learning techniques, particularly the KNN algorithm… Read full abstract & cite →

K-nearest-neighbors machine learning cooling load prediction African Vultures Optimization Sand Cat Swarm Optimization

Abstract doi.org/10.14569/IJACSA.2024.01506137 PDF

138

Enhancing Hand Sign Recognition in Challenging Lighting Conditions Through Hybrid Edge Detection

Author 1: Fairuz Husna Binti Rusli Author 2: Mohd Hilmi Hasan Author 3: Syazmi Zul Arif Hakimi Saadon Author 4: Muhammad Hamza Azam

Edge detection is essential for image processing and recognition. However, single methods struggle under challenging lighting conditions, limiting the effectiveness of applications like sign language recognition. This study aimed to improve the edge detection method in critical lighting for better sign language interpretation. The experiment compared conventional methods (Prewitt, Canny… Read full abstract & cite →

Critical lighting edge detection image recognition image segmentation sign language

Abstract doi.org/10.14569/IJACSA.2024.01506138 PDF

139

Football Video Image Restoration Based on Generalized Equalized Fuzzy C-mean Clustering Algorithm

Author 1: Shaonan Liu

With the development of image processing techniques, the quality of visual content has become crucial for acquiring and analyzing information, especially in applications in the field of sports, such as football match videos. Conventional image restoration techniques have limitations in dealing with motion blur and noise interference, especially in maintaining… Read full abstract & cite →

Generalized equilibrium fuzzy c-mean clustering algorithm image restoration local spatial information adaptive edge protection factor

Abstract doi.org/10.14569/IJACSA.2024.01506139 PDF

140

Method for Ripeness Classification of Harvested Strawberries using Hue Information of Images Acquired After the Harvest

Author 1: Jin Sawada Author 2: Kohei Arai Author 3: Souichiro Tashi Author 4: Shigenori Inakazu Author 5: Mariko Oda

Hakata Amaou is the most popular strawberry in Fukuoka Prefecture. However, Amaou farmers face a significant challenge due to a shortage of labor and successors, primarily caused by an aging workforce. This labor shortage is particularly severe during the harvest season, when work must be completed within a short timeframe… Read full abstract & cite →

Amaou Robotsumi hue strawberry automatic harvest 10 grades classification questionnaire image defects

Abstract doi.org/10.14569/IJACSA.2024.01506140 PDF

141

Short Video Recommendation Method Based on Sentiment Analysis and K-means++

Author 1: Rong Hu Author 2: Wei Yue

With the explosive growth of short video content, effectively recommending videos that interest users has become a major challenge. In this study, a short video recommendation model based on barrage sentiment analysis and improved K-means++ was raised to address the interest matching problem in short video recommendation systems. The model… Read full abstract & cite →

Short videos barrage sentiment analysis K-means++ recommendation cluster density

Abstract doi.org/10.14569/IJACSA.2024.01506141 PDF

142

FEC-IGE: An Efficient Approach to Classify Fracture Based on Convolutional Neural Networks and Integrated Gradients Explanation

Author 1: Triet Minh Nguyen Author 2: Thuan Van Tran Author 3: Quy Thanh Lu

In this paper, we propose the FEC-IGE framework includes data preprocessing, data augmentation, transfer learning, and fine-tuning of the pre-trained model of convolutional neural network (CNN) architecture for the problem of bone fracture classification. Bone fractures are a widespread medical issue globally, with a significant prevalence and imposing substantial burdens… Read full abstract & cite →

Convolutional neural network transfer learning fine-tuning X-ray image classification EfficientNet classification break bone deep learning integrated gradients explanation

Abstract doi.org/10.14569/IJACSA.2024.01506142 PDF

143

Dynamic Gesture Recognition using a Transformer and Mediapipe

Author 1: Asma H. Althubiti Author 2: Haneen Algethami

There is a rising interest in dynamic gesture recognition as a research area. This is the result of emerging global pandemics as well as the need to avoid touching different surfaces. Most of the previous research has focused on implementing deep learning algorithms for the RGB modality. However, despite its… Read full abstract & cite →

Gesture recognition self-attention transformer en-coder skeleton transfer learning

Abstract doi.org/10.14569/IJACSA.2024.01506143 PDF

144

Blockchain-based Decentralised Management of Digital Passports of Health (DPoH) for Vaccination Records

Author 1: Abdulrahman Alreshidi

With the recent impact of viral infections and pandemics – akin to a recent global healthcare emergency due to COVID-19 - there is an urgent need for mass-scale testing and vaccination initiatives for tackling the health and economic crises. However, the centralized storage of patient information has given rise to… Read full abstract & cite →

Smart healthcare blockchain software architecture digital passport of health software engineering

Abstract doi.org/10.14569/IJACSA.2024.01506144 PDF

145

Hybrid Emotion Detection with Word Embeddings in a Low Resourced Language: Turkish

Author 1: Senem Kumova Metin Author 2: Hatice Ertugrul Giraz

Through natural language processing, subjective information can be obtained from written sources such as suggestions, reviews, and social media publications. Understanding and knowing the user experience or in other words the feelings/emotions of user on any type of product or situation directly affects the decisions to be taken on the… Read full abstract & cite →

Emotion detection word embedding vector similarity Turkish

Abstract doi.org/10.14569/IJACSA.2024.01506145 PDF

146

Language Models for Multi-Lingual Tasks - A Survey

Author 1: Amir Reza Jafari Author 2: Behnam Heidary Author 3: Reza Farahbakhsh Author 4: Mostafa Salehi Author 5: Noel Crespi

These days different online media platforms such as social media provide their users the possibility to exchange and engage in different languages. It is not surprising anymore to see comments from different languages in posts published by international celebrities and figures. In this era, understanding cross-language content and multilingualism in… Read full abstract & cite →

Language models transfer learning BERT NLP multilingual task low resource languages LLMs

Abstract doi.org/10.14569/IJACSA.2024.01506146 PDF

147

Automatic Flipper Control for Crawler Type Rescue Robot using Reinforcement Learning

Author 1: Hitoshi Kono Author 2: Sadaharu Isayama Author 3: Fukuro Koshiji Author 4: Kaori Watanabe Author 5: Hidekazu Suzuki

In recent years, many natural disasters have occurred, and rescue robots have been used to gather information at disaster sites. Rescue robots, particularly crawler type rescue robots are operated through remote control by their operators via wireless communication or wired. However, certain robots have been known to not return owing… Read full abstract & cite →

Rescue robot sub-crawler control reinforcement learning physics simulation

Abstract doi.org/10.14569/IJACSA.2024.01506147 PDF

148

On Constructing a Secure and Fast Key Derivation Function Based on Stream Ciphers

Author 1: Chai Wen Chuah Author 2: Janaka Alawatugoda Author 3: Nureize Arbaiy

In order to protect electronic data, pseudorandom cryptographic keys generated by a standard function known as a key derivation function play an important role. The inputs to the function are known as initial keying materials, such as passwords, shared secret keys, and non-random strings. Existing standard secure functions for the… Read full abstract & cite →

Key derivation functions extractors expanders stream ciphers hash functions symmetric-key cryptography

Abstract doi.org/10.14569/IJACSA.2024.01506148 PDF

149

Design and Development of an Efficient Explainable AI Framework for Heart Disease Prediction

Author 1: Deepika Tenepalli Author 2: Navamani T M

Heart disease remains a global health concern, demanding early and accurate prediction for improved patient outcomes. Machine learning offers promising tools, but existing methods face accuracy, class imbalance, and overfitting issues. In this work, we propose an efficient Explainable Recursive Feature Elimination with eXtreme Gradient Boosting (ERFEX) Framework for heart… Read full abstract & cite →

Machine learning heart disease explainable AI XGBoost SHAP

Abstract doi.org/10.14569/IJACSA.2024.01506149 PDF

150

A Differential Evolution-based Pseudotime Estimation Method for Single-cell Data

Author 1: Nazifa Tasnim Hia Author 2: Ishrat Jahan Emu Author 3: Muhammad Ibrahim Author 4: Sumon Ahmed

The analysis of single-cell genomics data creates an intriguing opportunity for researchers to examine the complex biological system more closely but is challenging due to inherent biological and technical noise. One popular approach involves learning a lower dimensional manifold or pseudotime trajectory through the data that can capture the primary… Read full abstract & cite →

Pseudotime estimation trajectory inference single-cell differential evolution RNA-seq

Abstract doi.org/10.14569/IJACSA.2024.01506150 PDF

151

Human IoT Interaction Approach for Modeling Human Walking Patterns Using Two-Dimensional Levy Walk Distribution

Author 1: Tajim Md. Niamat Ullah Akhund Author 2: Waleed M. Al-Nuwaiser

This work presents a novel approach to modeling and analyzing human walking patterns using a two-dimensional Levy walk distribution and the Internet of Sensing Things. The study proposes the strategic placement of MPU6050 sensors within a garment worn on the human leg to capture motion data during walking activities that… Read full abstract & cite →

Internet of Things (IoT) wearable sensors Human-Computer Interaction (HCI) 3-axis accelerometer gyroscope walking pattern levy walk distribution abnormal walk prediction

Abstract doi.org/10.14569/IJACSA.2024.01506151 PDF

152

Blockchain-based System Towards Data Security Against Smart Contract Vulnerabilities: Electronic Toll Collection Context

Author 1: Olfa Ben Rhaiem Author 2: Marwa Amara Author 3: Radhia Zaghdoud Author 4: Lamia Chaari Author 5: Maha Metab Alshammari

Electronic Toll Collection (ETC) systems have been proposed as a replacement for traditional toll booths, where vehicles are required to queue to make payments, particularly during holiday period. Thus, the primary advantage of ETC is improved traffic efficiency. However, existing ETC systems lack the security necessary to protect vehicle information… Read full abstract & cite →

Blockchain Ethereum smart contracts Reentrancy Attacks security ETC

Abstract doi.org/10.14569/IJACSA.2024.01506152 PDF

153

Comparing AI Algorithms for Optimizing Elliptic Curve Cryptography Parameters in e-Commerce Integrations: A Pre-Quantum Analysis

Author 1: Felipe Tellez Author 2: Jorge Ortiz

This paper presents a comparative analysis between the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), two vital artificial intelligence algorithms, focusing on optimizing Elliptic Curve Cryptography (ECC) parameters. These encompass the elliptic curve coefficients, prime number, generator point, group order, and cofactor. The study provides insights into which of… Read full abstract & cite →

Artificial intelligence genetic algorithms particle swarm optimization elliptic curve cryptography e-commerce third-party integrations pre-quantum computing

Abstract doi.org/10.14569/IJACSA.2024.01506153 PDF

154

Bone Quality Classification of Dual Energy X-ray Absorptiometry Images Using Convolutional Neural Network Models

Author 1: Mailen Gonzalez Author 2: Jose M. Fuertes Garcia Author 3: Manuel J. Lucena Lopez Author 4: Ruben Abdala Author 5: Jose M. Massa

The assessment of bone trabecular quality degrada-tion is important for the detection of diseases such as osteoporosis. The gold standard for its diagnosis is the Dual Energy X-ray Absorptiometry (DXA) image modality. The analysis of these images is a topic of growing interest, especially with artificial intelligence techniques. This work… Read full abstract & cite →

Osteoporosis Dual Energy X-ray Absorptiometry (DXA) Trabecular Bone Score (TBS) Classification Convolutional Neural Network (CNN)

Abstract doi.org/10.14569/IJACSA.2024.01506154 PDF

155

LBPSCN: Local Binary Pattern Scaled Capsule Network for the Recognition of Ocular Diseases

Author 1: Mavis Serwaa Author 2: Patrick Kwabena Mensah Author 3: Adebayo Felix Adekoya Author 4: Mighty Abra Ayidzoe

Glaucoma and cataracts are leading causes of blindness worldwide, resulting in significant vision loss and quality of life impairment. Early detection and diagnosis are crucial for effective treatment and prevention of further damage. However, diagnosis is challenging, especially when intraocular pressure is low or cataracts are present. Deep learning algorithms… Read full abstract & cite →

Glaucoma cataracts capsule network Convolutional neural network

Abstract doi.org/10.14569/IJACSA.2024.01506155 PDF

156

Text Extraction and Translation Through Lip Reading using Deep Learning

Author 1: Sai Teja Krithik Putcha Author 2: Yelagandula Sai Venkata Rajam Author 3: K. Sugamya Author 4: Sushank Gopala

Deep learning has revolutionized industries such as natural language processing and computer vision. This study explores the fusion of these domains by proposing a novel approach for text extraction and translation using lip reading and deep learning. Lip reading, the process of interpreting spoken language by analyzing lip movements, has… Read full abstract & cite →

Deep Learning (DL) Convolutional Neural Networks (CNN) Lip Reading Recurrent Neural Networks (RNN)

Abstract doi.org/10.14569/IJACSA.2024.01506156 PDF