IJACSA Vol. 15 Issue 1 (2024)

1

Reliability Evaluation Framework for Centralized Agricultural Internet of Things (Agri-IoT)

Author 1: Fatoumata Thiam Author 2: Maissa Mbaye Author 3: Maya Flores Author 4: Alexander Wyglinski

This paper presents a holistic reliability evalua-tion framework for Agri-IoT based on real-world testbed and mathematical modeling of network failure prediction. A testbed has been designed, implemented, and deployed in the real-world in the experimental farm at Saint-Louis/Senegal as a representative area of Sahel conditions. Data collected has been used… Read full abstract & cite →

Energy IoT reliability real-world testbed opti-mization Agri-IoT

Abstract doi.org/10.14569/IJACSA.2024.0150101 PDF

2

A Hybrid Approach for Automatic Question Generation from Program Codes

Author 1: Jawad Alshboul Author 2: Erika Baksa-Varga

Generating questions is one of the most challenging tasks in the natural language processing discipline. With the significant emergence of electronic educational platforms like e-learning systems and the large scalability achieved with e-learning, there is an increased urge to generate intelligent and deliberate questions to measure students' understanding. Many works… Read full abstract & cite →

Question generation e-learning python question generator semantic code conversion

Abstract doi.org/10.14569/IJACSA.2024.0150102 PDF

3

An Enhanced Anti-Phishing Technique for Social Media Users: A Multilayer Q-Learning Approach

Author 1: Asif Irshad Khan Author 2: Bhuvan Unhelkar

As social media usage grows in popularity, so does the risk of encountering malicious Uniform Resource Locator (URLs). Determining the authenticity of a URL can be a highly challenging task, primarily due to the sophisticated attack structure employed by phishing attempts. Phishing exploits the vulnerabilities of computer users, making it… Read full abstract & cite →

Multilayer Q-learning anti-phishing model social media users machine learning optimization URLs logistic Bayesian LSTM model

Abstract doi.org/10.14569/IJACSA.2024.0150103 PDF

4

ML-based Meta-Model Usability Evaluation of Mobile Medical Apps

Author 1: Khalid Hamid Author 2: Muhammad Ibrar Author 3: Amir Mohammad Delshadi Author 4: Mubbashar Hussain Author 5: Muhammad Waseem Iqbal Author 6: Abdul Hameed Author 7: Misbah Noor

Mobile medical applications (MMAPPs) are one of the recent trends in mobile trading applications (Apps). MMAPPs permit users to resolve health issues easily and effectively in their place. However, the primary issue is effective usability for users in maps. Barely any examination breaks down usability issues subject to the user's… Read full abstract & cite →

ANOVA completeness efficiency effectiveness perceptional usability response surface methodology actual usability

Abstract doi.org/10.14569/IJACSA.2024.0150104 PDF

5

Development of a Framework for Predicting Students' Academic Performance in STEM Education using Machine Learning Methods

Author 1: Rustam Abdrakhmanov Author 2: Ainur Zhaxanova Author 3: Malika Karatayeva Author 4: Gulzhan Zholaushievna Niyazova Author 5: Kamalbek Berkimbayev Author 6: Assyl Tuimebayev

In the continuously evolving educational landscape, the prediction of students' academic performance in STEM (Science, Technology, Engineering, Mathematics) disciplines stands as a paramount component for educational stakeholders aiming at enhancing learning methodologies and outcomes. This research paper delves into a sophisticated analysis, employing Machine Learning (ML) algorithms to predict students'… Read full abstract & cite →

Load balancing machine learning server classification software

Abstract doi.org/10.14569/IJACSA.2024.0150105 PDF

6

Automatic Recognition of Marine Creatures using Deep Learning

Author 1: Oudayrao Ittoo Author 2: Sameerchand Pudaruth

The identification of marine species is a challenge for people all over the world, and the situation is not different for Mauritians. It is of utmost importance to create an automated system to correctly identify marine species. In the past, researchers have used machine learning to address the issue of… Read full abstract & cite →

Marine creature identification machine learning deep learning MobileNetV1 Mauritius

Abstract doi.org/10.14569/IJACSA.2024.0150106 PDF

7

RETRACTED: Enhanced Linear Regression Models for Resource Usage Prediction in Dynamic Cloud Environments

Author 1: Xiaoxiao Ma

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 →

Cloud computing resource utilization prediction linear regression metaheuristics

Abstract doi.org/10.14569/IJACSA.2024.0150107 PDF

8

Efficient Processing of Large-Scale Medical Data in IoT: A Hybrid Hadoop-Spark Approach for Health Status Prediction

Author 1: Yu Lina Author 2: Su Wenlong

In the realm of Internet of Things (IoT)-driven healthcare, diverse technologies, including wearable medical devices, mobile applications, and cloud-based health systems, generate substantial data streams, posing challenges in real-time operations, especially during emergencies. This study recommends a hybrid architecture utilizing Hadoop for real-time processing of extensive medical data within the… Read full abstract & cite →

Internet of Things big data hadoop spark-based machine learning

Abstract doi.org/10.14569/IJACSA.2024.0150108 PDF

9

A Yolo-based Approach for Fire and Smoke Detection in IoT Surveillance Systems

Author 1: Dawei Zhang

Fire and smoke detection in IoT surveillance systems is of utmost importance for ensuring public safety and preventing property damage. While traditional methods have been used for fire detection, deep learning-based approaches have gained significant attention due to their ability to learn complex patterns and achieve high accuracy. This paper… Read full abstract & cite →

IoT surveillance systems fire detection deep learning Yolov8

Abstract doi.org/10.14569/IJACSA.2024.0150109 PDF

10

Design and Analysis of Deep Learning Method for Fragmenting Brain Tissue in MRI Images

Author 1: Ting Yang Author 2: Jiabao Sun

An essential component of medical image processing is brain tumour segmentation. The process of giving each pixel a label is called image segmentation in order for pixels bearing the same label to share characteristics and help distinguish the target. A higher fatality rate and additional dangers can be avoided with… Read full abstract & cite →

Brain tumor deep learning neural networks magnetic resonance imaging

Abstract doi.org/10.14569/IJACSA.2024.0150110 PDF

11

Brightness Equalization Algorithm for Chinese Painting Pigments in Low-Light Environment Based on Region Division

Author 1: Lijuan Cheng

With the promotion and development of Chinese painting and the advancement of photography technology, people can appreciate various types of Chinese paintings through image and other methods. However, Chinese painting images in low-light environments face the problem of extreme uneven brightness distribution. The currently proposed solutions for this problem are… Read full abstract & cite →

Chinese painting low-light region division guided filtering scaling factor

Abstract doi.org/10.14569/IJACSA.2024.0150111 PDF

12

Anomaly Detection in Structural Health Monitoring with Ensemble Learning and Reinforcement Learning

Author 1: Nan Huang

This research introduces a novel approach for improving the analysis of Structural Health Monitoring (SHM) data in civil engineering. SHM data, essential for assessing the integrity of infrastructures like bridges, often contains inaccuracies because of sensor errors, environmental factors, and transmission glitches. These inaccuracies can severely hinder identifying structural patterns… Read full abstract & cite →

Structural health monitoring Anomaly detection reinforcement learning differential equation imbalanced classification

Abstract doi.org/10.14569/IJACSA.2024.0150112 PDF

13

Application Effect of Human-Computer Interactive Gymnastic Sports Action Recognition System Based on PTP-CNN Algorithm

Author 1: Yonge Ren Author 2: Keshuang Sun

With the rapid development of artificial intelligence technology, the recognition accuracy performance of traditional gymnastic sports action recognition system can no longer meet the needs of today's society. To address these problems, an improved action recognition algorithm combining Precision Time Protocal (PTP) and Convolutional Neural Networks (CNN) is proposed, and… Read full abstract & cite →

PTP CNN human-computer interaction gymnastic sports action recognition

Abstract doi.org/10.14569/IJACSA.2024.0150113 PDF

14

A Lean Service Conceptual Model for Digital Transformation in the Competitive Service Industry

Author 1: Nur Niswah Hasina Mohammad Amin Author 2: Amelia Natasya Abdul Wahab Author 3: Nur Fazidah Elias Author 4: Ruzzakiah Jenal Author 5: Muhammad Ihsan Jambak Author 6: Nur Afini Natrah Mohd Ashril

In today's competitive service industry, the pressure to boost productivity, cut costs, and improve service quality is immense. By integrating lean principles and digital transformation, organizations can streamline processes and reduce waste. Although various lean models have been developed for different service industry, there is no universal standard. Hence, this… Read full abstract & cite →

Lean principles digital transformation model conceptual service industry waste dimension qualitative research

Abstract doi.org/10.14569/IJACSA.2024.0150114 PDF

15

The Scheme Design of Wearable Sensor for Exercise Habits Based on Random Game

Author 1: Youqin Huang Author 2: Zhaodi Feng

The development of random game theory has enabled wearable sensors to obtain actuator evolution in sports exercise, thus the design of user exercise habits during the exercise process has begun to be studied. Conventional devices only focus on automatic adjustment of sports design, with slight shortcomings in personalization. To address… Read full abstract & cite →

Random game adaptive search hybrid learning algorithm wearable sensors physical exercise evolution of actuators exercise habits anchor node positioning semi definite programming method

Abstract doi.org/10.14569/IJACSA.2024.0150115 PDF

16

The Construction and Application of Library Intelligent Acquisition Decision Model Based on Decision Tree Algorithm

Author 1: Hong Pan

In today's digital age, libraries, as the core institutions of knowledge management and information services, are facing an increasing demand from readers. In order to provide more efficient, accurate, and personalized interview services, intelligent interview decision-making in libraries has become an important research field. Traditional manual interview services face challenges… Read full abstract & cite →

Decision tree machine learning fuzzy logic intelligent interview model post-pruning

Abstract doi.org/10.14569/IJACSA.2024.0150116 PDF

17

A Predictive Sales System Based on Deep Learning

Author 1: Jean Paul Luyo Ballena Author 2: Cristhian Pool Ortiz Pallihuanca Author 3: Ernesto Adolfo Carrera Salas

There are several techniques for predictive sales systems, in this study, a system based on different machine learning algorithms is developed for a trading company in Lima. As any company, it needs to be accurate in its sales calculations to manage the volume of production or product purchases. With the… Read full abstract & cite →

Deep learning neural network architectures sales prediction neural networks

Abstract doi.org/10.14569/IJACSA.2024.0150117 PDF

18

Telemedicine and its Impact on the Preoperative Period

Author 1: Raquel Elisa Apaza-Avila

The application of telemedicine has aroused a lot of interest in the field of chronic disease care, which is associated with clinical medicine. The aim of this research is to systematically evaluate the published evidence on telemedicine in the preoperative period. A systematic search was conducted over the last five… Read full abstract & cite →

Telemedicine digital health e-health preoperative care preoperative period systematic review

Abstract doi.org/10.14569/IJACSA.2024.0150118 PDF

19

A Solution to Improve the Detection of the Nominal Value of the Financial Market: A Case Study of the Alphabet Stocks

Author 1: Zhaohua Li Author 2: Xinyue Chang

Given the regular occurrence of non-stationarity, non-linearity, and high levels of noise in time series data, predicting the value of stocks is a considerable difficulty. Traditional methods have the potential to enhance the precision of forecasting, although they concurrently introduce computational complexity, hence augmenting the probability of prediction inaccuracies. To… Read full abstract & cite →

Alphabet stock machine learning light gradient boosting machine optimization artificial bee colony algorithm

Abstract doi.org/10.14569/IJACSA.2024.0150119 PDF

20

Analysis of the Financial Market via an Optimized Machine Learning Algorithm: A Case Study of the Nasdaq Index

Author 1: Lei Wang Author 2: Mingzhu Xie

The complex interaction among economic variables, market forces, and investor psychology presents a formidable obstacle to making accurate forecasts in the realm of finance. Moreover, the nonstationary, non-linear, and highly volatile nature of stock price time series data further compounds the difficulty of accurately predicting stock prices within the securities… Read full abstract & cite →

Stock market prediction Nasdaq index random forest moth-flame optimization MFO-RF

Abstract doi.org/10.14569/IJACSA.2024.0150120 PDF

21

Improving of Smart Health Houses: Identifying Emotion Recognition using Facial Expression Analysis

Author 1: Yang SHI Author 2: Yanbin BU

Smart health houses have shown great potential for providing advanced healthcare services and support to individuals. Although various computer vision based approaches have been developed, current facial expression analysis methods still have limitations that need to be addressed. This research paper introduces a facial expression analysis technique for emission recognition… Read full abstract & cite →

Smart health houses computer vision facial expression emotion recognition YOLO

Abstract doi.org/10.14569/IJACSA.2024.0150121 PDF

22

Perceived Benefits and Challenges of Implementing CMMI on Agile Project Management: A Systematic Literature Review

Author 1: Anggia Astridita Author 2: Teguh Raharjo Author 3: Anita Nur Fitriani

In an era where the agility and responsiveness of Agile project management are paramount, the integration of structured models like the Capability Maturity Model Integration (CMMI) presents a blend of unique opportunities and challenges. This study conducts a comprehensive systematic literature review of 23 scientific articles, chosen through the Preferred… Read full abstract & cite →

CMMI SPI Agile project management systematic literature review PRISMA

Abstract doi.org/10.14569/IJACSA.2024.0150122 PDF

23

Crime Prediction Model using Three Classification Techniques: Random Forest, Logistic Regression, and LightGBM

Author 1: Abdulrahman Alsubayhin Author 2: Muhammad Sher Ramzan Author 3: Bander Alzahrani

Predicting the likelihood of a crime occurring is difficult, but machine learning can be used to develop models that can do so. Random forest, logistic regression, and LightGBM are three well-known classification methods that can be applied to crime prediction. Random forest is an ensemble learning algorithm that predicts by… Read full abstract & cite →

Crime prediction random forest logistic regression LightGBM

Abstract doi.org/10.14569/IJACSA.2024.0150123 PDF

24

Machine Learning-Driven Integration of Genetic and Textual Data for Enhanced Genetic Variation Classification

Author 1: Malkapurapu Sivamanikanta Author 2: N Ravinder

Precision medicine and genetic testing have the potential to revolutionize disease treatment by identifying driver mutations crucial for tumor growth in cancer genomes. However, clinical pathologists face the time-consuming and error-prone task of classifying genetic variations using Textual clinical literature. In this research paper, titled “Machine Learning-Driven Integration of Genetic… Read full abstract & cite →

Precision medicine genetic testing driver mutations cancer genomes textual clinical literature text mining genetic variations

Abstract doi.org/10.14569/IJACSA.2024.0150124 PDF

25

Performance Evaluation of Machine Learning Classifiers for Predicting Denial-of-Service Attack in Internet of Things

Author 1: Omar Almomani Author 2: Adeeb Alsaaidah Author 3: Ahmad Adel Abu Shareha Author 4: Abdullah Alzaqebah Author 5: Malek Almomani

Eliminating security threats on the Internet of Things (IoT) requires recognizing threat attacks. IoT and its implementations are currently the most common scientific field. When it comes to real-world implementations, IoT's attributes, on the one hand, make it simple to apply, but on the other hand, they expose it to… Read full abstract & cite →

Cybersecurity IDS DOS attack IoT machine learning

Abstract doi.org/10.14569/IJACSA.2024.0150125 PDF

26

Improving the Trajectory Clustering using Meta-Heuristic Algorithms

Author 1: Haiyang Li Author 2: Xinliu Diao

The rapid growth of GPS trajectories obscures valuable information regarding urban road infrastructure, urban traffic patterns, and population mobility. An innovative method termed trajectory regression clustering is introduced to improve the extraction of hidden data and generate more precise clustering results. This approach belongs to the unsupervised trajectory clustering category… Read full abstract & cite →

Ant colony method particle swarm algorithm HCM clustering and trajectory lines

Abstract doi.org/10.14569/IJACSA.2024.0150126 PDF

27

Sustainability and Resilience Analysis in Supply Chain Considering Pricing Policies and Government Economic Measures

Author 1: Dounia SAIDI Author 2: Aziz AIT BASSOU Author 3: Jamila EL ALAMI Author 4: Mustapha HLYAL

Sustainability and resilience are becoming increasingly critical in shaping supply chain pricing strategies. They ensure that supply chains can withstand disruptions while adhering to environmental and social standards, thereby securing long-term economic viability. Despite their importance, the integration of these two pillars with the promotion of domestic products remains under-explored… Read full abstract & cite →

Supply chain management pricing policies sustainability resilience government regulation

Abstract doi.org/10.14569/IJACSA.2024.0150127 PDF

28

Investigating Agile Values and Principles in Real Practices

Author 1: Abdullah A H Alzahrani

Software engineering is the field of development of information systems. However, the development process can often be complicated. Therefore, many researchers have introduced their approaches to manage the complication. This led to the introduction of new subfields such as change management, and organisational change. Agile can be regarded as a… Read full abstract & cite →

Agile software engineering information systems change management organisational change

Abstract doi.org/10.14569/IJACSA.2024.0150128 PDF

29

Category Decomposition-based Within Pixel Information Retrieval Method and its Application to Partial Cloud Extraction from Satellite Imagery Pixels

Author 1: Kohei Arai Author 2: Yasunori Terayama Author 3: Masao Moriyama

Category decomposition-based within pixel information retrieval method is proposed together with its application to partial cloud extraction from satellite imagery pixels. A comparative study was conducted for estimation of the sea surface temperature of the pixel suffered from partial cloud cover within a pixel. Three methods for estimation of partial… Read full abstract & cite →

Category decomposition information retrieval cloud cover estimation Generalized Inverse Matrix Method: GIMM and well-known Least Square Method: LSM and Maximum Likelihood Method: MLH

Abstract doi.org/10.14569/IJACSA.2024.0150129 PDF

30

Costless Expert Systems Development and Re-engineering

Author 1: Manal Alsharidi Author 2: Abdelgaffar Hamed Ali

Symbolic AI is indispensable for the current LLM agents that are used for example to reason the context of the questions. An expert system is a symbolic AI that can explain the reasoning it reached to, which typically is a rule-based system has been attractive for different domains such as… Read full abstract & cite →

Model-Driven-Architecture(MDA) Unified Modelling Language (UML) Platform-Independent Model (PIM) Platform-Specific Model (PSM) Query- View- Transform (QVT)

Abstract doi.org/10.14569/IJACSA.2024.0150130 PDF

31

Comparison of SVM kernels in Credit Card Fraud Detection using GANs

Author 1: Bandar Alshawi

The technological evolution in smartphones and telecommunication systems have led people to be more dependent on online shopping and electronic payments, which created burdensome task of transaction validation for many financial institutions. This paper examined and evaluated the efficacy of Support vector machine (SVM) kernels on Generative Adversarial Network (GAN)-generated… Read full abstract & cite →

Fraud transactions credit card Generative Adversarial Network Support Vector Machine kernels imbalance dataset

Abstract doi.org/10.14569/IJACSA.2024.0150131 PDF

32

A Cost-Efficient Approach for Creating Virtual Fitting Room using Generative Adversarial Networks (GANs)

Author 1: Kirolos Attallah Author 2: Girgis Zaky Author 3: Nourhan Abdelrhim Author 4: Kyrillos Botros Author 5: Amjad Dife Author 6: Nermin Negied

Customers all over the world want to see how the clothes fit them or not before purchasing. Therefore, customers by nature prefer brick-and-mortar clothes shopping so they can try on products before purchasing them. But after the Pandemic of COVID19 many sellers either shifted to online shopping or closed their… Read full abstract & cite →

Generative Adversarial Networks (GANs) virtual reality human body segmentation image generator conditional generator background removal

Abstract doi.org/10.14569/IJACSA.2024.0150132 PDF

33

Observational Quantitative Study of Healthy Lifestyles and Nutritional Status in Firefighters of the fifth Command of Callao, Ventanilla 2023

Author 1: Genrry Perez-Olivos Author 2: Exilda Garcia-Carhuapoma Author 3: Ethel Gurreonero-Seguro Author 4: Julio Méndez-Nina Author 5: Sebastian Ramos-Cosi Author 6: Alicia Alva Mantari

Given the high concern for human health, the aim is to determine the relationship between healthy lifestyles and nutritional status among firefighters of the VCD Callao Ventanilla 2023. This study was conducted in four volunteer fire companies, namely B-75, B-184, B-207, B-232, located in the districts of Ventanilla and Mi… Read full abstract & cite →

BMI firemen lifestyles excess weight

Abstract doi.org/10.14569/IJACSA.2024.0150133 PDF

34

Enhanced Emotion Analysis Model using Machine Learning in Saudi Dialect: COVID-19 Vaccination Case Study

Author 1: Abdulrahman O. Mostafa Author 2: Tarig M. Ahmed

Sentiment Analysis (SA) and Emotion Analysis (EA) are effective areas of research aimed to auto-detect and recognize the sentiment expressed in a text and identify the underpinning opinion towards a specific topic. Although they are often considered interchangeable terms, they have slight differences. The primary purpose of SA is to… Read full abstract & cite →

Data mining natural language processing sentiment analysis emotion analysis machine learning support vector machine logistic regression decision tree Covid-19

Abstract doi.org/10.14569/IJACSA.2024.0150134 PDF

35

Dimensionality Reduction: A Comparative Review using RBM, KPCA, and t-SNE for Micro-Expressions Recognition

Author 1: Viola Bakiasi Author 2: Markela Muça Author 3: Rinela Kapçiu

Facial expressions are the main ways how humans display emotions. Under certain circumstances, humans can do facial expression, but emotions can also appear in the special form of micro-expressions. A micro-expression is a very brief facial expression faced on people’s faces under some circumstances. Micro-expressions are shown in the situations… Read full abstract & cite →

Dimensionality reduction Kernel Principal Component Analyses (KPCA) t-distributed Stochastic Neighbor Embedding (t-SNE) Restricted Boltzmann Machine (RBM) facial feature extraction

Abstract doi.org/10.14569/IJACSA.2024.0150135 PDF

36

A Method for Extracting Traffic Parameters from Drone Videos to Assist Car-Following Modeling

Author 1: Xiangzhou Zhang Author 2: Zhongke Shi

A new method for extracting traffic parameters from UAV videos to assist in establishing a car-following model is proposed in this paper. The improved ShuffleNet network and GSConv module were introduced into the Yolov7-tiny neural network model as the target detection stage. HOG features and IOU motion metrics are introduced… Read full abstract & cite →

UAV Yolov7-tiny DeepSor Car-following model Stability analysis Traffic congestion safety assessment

Abstract doi.org/10.14569/IJACSA.2024.0150136 PDF

37

A Review of Fake News Detection Techniques for Arabic Language

Author 1: Taghreed Alotaibi Author 2: Hmood Al-Dossari

The growing proliferation of social networks provides users worldwide access to vast amounts of information. However, although social media users have benefitted significantly from the rise of various platforms in terms of interacting with others, e.g., expressing their opinions, finding products and services, and checking reviews, it has also raised… Read full abstract & cite →

Fake news detection rumors classification Arabic language

Abstract doi.org/10.14569/IJACSA.2024.0150137 PDF

38

Enhancing Quality-of-Service in Software-Defined Networks Through the Integration of Firefly-Fruit Fly Optimization and Deep Reinforcement Learning

Author 1: Mahmoud Aboughaly Author 2: Shaikh Abdul Hannan

The Software Defined Networking (SDN) paradigm has emerged as a critical tool for meeting the dynamic demands of network management with respect to efficiency and flexibility. Quality of Service (QoS) optimization, which encompasses essential features including bandwidth allocation, latency, and packet loss, is a major problem in SDN systems due… Read full abstract & cite →

Software Defined Network (SDN) Quality of Service (QoS) firefly-fruit fly optimization Deep Reinforcement Learning (DRL) adaptive QoS enhancement network optimization

Abstract doi.org/10.14569/IJACSA.2024.0150138 PDF

39

Revolutionizing Magnetic Resonance Imaging Image Reconstruction: A Unified Approach Integrating Deep Residual Networks and Generative Adversarial Networks

Author 1: M Nagalakshmi Author 2: M. Balamurugan Author 3: B. Hemantha Kumar Author 4: Lakshmana Phaneendra Maguluri Author 5: Abdul Rahman Mohammed ALAnsari Author 6: Yousef A.Baker El-Ebiary

Advancements in data capture techniques in the field of Magnetic Resonance Imaging (MRI) offer faster retrieval of critical medical imagery. Even with these advances, reconstruction techniques are generally slow and visually poor, making it difficult to include compression sensors. To address these issues, this work proposes a novel hybrid GAN-DRN… Read full abstract & cite →

Magnetic Resonance Imaging (MRI) deep learning generative adversarial network deep residual network ResNet50

Abstract doi.org/10.14569/IJACSA.2024.0150139 PDF

40

Hybrid Vision Transformers and CNNs for Enhanced Transmission Line Segmentation in Aerial Images

Author 1: Hoanh Nguyen Author 2: Tuan Anh Nguyen

This paper presents a novel architecture for the segmentation of transmission lines in aerial images, utilizing a hybrid model that combines the strengths of Vision Transformers (ViTs) and Convolutional Neural Networks (CNNs). The proposed method first employs a Swin Transformer backbone (Swin-B) that processes the input image through a hierarchical… Read full abstract & cite →

Vision transformers convolutional neural networks transmission lines segmentation hybrid model feature fusion

Abstract doi.org/10.14569/IJACSA.2024.0150140 PDF

41

Dynamic Object Detection Revolution: Deep Learning with Attention, Semantic Understanding, and Instance Segmentation for Real-World Precision

Author 1: Karimunnisa Shaik Author 2: Dyuti Banerjee Author 3: R. Sabin Begum Author 4: Narne Srikanth Author 5: Jonnadula Narasimharao Author 6: Yousef A.Baker El-Ebiary Author 7: E. Thenmozhi

Semantic and instance segmentation are critical goals that span a wide range of applications, from autonomous driving to object recognition in different fields. The existing approaches have limitations, especially when it comes to the difficult task of identifying and detecting minute things in intricate real-world situations. This work presents a… Read full abstract & cite →

Semantic segmentation instance segmentation convolutional neural network bidirectional long short-term memory attention mechanism

Abstract doi.org/10.14569/IJACSA.2024.0150141 PDF

42

Improved Algorithm with YOLOv5s for Obstacle Detection of Rail Transit

Author 1: Shuangyuan Li Author 2: Zhengwei Wang Author 3: Yanchang Lv Author 4: Xiangyang Liu

As an infrastructure for urban development, it is particularly important to ensure the safe operation of urban rail transit. Foreign object intrusion in urban rail transit area is one of the main causes of train accidents. To tackle the obstacle detection challenge in rail transit, this paper introduces the CS-YOLO… Read full abstract & cite →

Railroad track intrusion detection CBAM (Convolutional Block Attention Module) attention activation function decoupling probe loss function

Abstract doi.org/10.14569/IJACSA.2024.0150142 PDF

43

Students' Perception of ChatGPT Usage in Education

Author 1: Irena Valova Author 2: Tsvetelina Mladenova Author 3: Gabriel Kanev

This research article delves into the impact of ChatGPT on education, focusing on the perceptions and usage patterns among high school and university students. The article begins by introducing ChatGPT, emphasizing its rapid user adoption and widespread interest. It explores the application of ChatGPT in various fields, including healthcare, agriculture… Read full abstract & cite →

Artificial intelligence in education assessment ChatGPT Generative Pretrained Transformer 3 GPT-3 higher education learning teaching Natural Language Processing (NLP)

Abstract doi.org/10.14569/IJACSA.2024.0150143 PDF

44

From Time Series to Images: Revolutionizing Stock Market Predictions with Convolutional Deep Neural Networks

Author 1: TATANE Khalid Author 2: SAHIB Mohamed Rida Author 3: ZAKI Taher

Predicting the trend of stock prices is a hard task due to numerous factors and prerequisites that can affect price movement in a specific direction. Various strategies have been proposed to extract relevant features of stock data, which is crucial for this domain. Due to its powerful data processing capabilities… Read full abstract & cite →

Technical indicators convolutional neural networks stock trend forecasting deep learning

Abstract doi.org/10.14569/IJACSA.2024.0150144 PDF

45

An Explainable and Optimized Network Intrusion Detection Model using Deep Learning

Author 1: Haripriya C Author 2: Prabhudev Jagadeesh M. P

In the current age, internet and its usage have become a core part of human existence and with it we have developed technologies that seamlessly integrate with various phases of our day to day activities. The main challenge with most modern-day infrastructure is that the requirements pertaining to security are… Read full abstract & cite →

Network Intrusion Detection deep learning hyper parameter optimization hyperband CSE CIC IDS 2018 dataset XAI methods LIME SHAP

Abstract doi.org/10.14569/IJACSA.2024.0150145 PDF

46

Low-Light Image Enhancement using Retinex-based Network with Attention Mechanism

Author 1: Shaojin Ma Author 2: Weiguo Pan Author 3: Nuoya Li Author 4: Songjie Du Author 5: Hongzhe Liu Author 6: Bingxin Xu Author 7: Cheng Xu Author 8: Xuewei Li

Images in low-light conditions typically exhibit significant degradation such as low contrast, color shift, noise and artifacts, which diminish the accuracy of the recognition task in computer vision. To address these challenges, this paper proposes a low-light image enhancement method based on Retinex. Specifically, a decomposition network is designed to… Read full abstract & cite →

Low-light image enhancement decomposition network FEM attention mechanism denoising network detail enhancement

Abstract doi.org/10.14569/IJACSA.2024.0150146 PDF

47

Double Branch Lightweight Finger Vein Recognition based on Diffusion Model

Author 1: Zhiyong Tao Author 2: Yajing Gao Author 3: Sen Lin

Aiming at the problems of high complexity, insufficient global information extraction and easy overfitting in finger vein recognition, a finger vein recognition method based on diffusion model is proposed. Firstly, finger vein images are generated according to the dataset by diffusion model, which is used to prevent overfitting; secondly, a… Read full abstract & cite →

Finger vein recognition convolution neural network diffusion model multi-head self-attention mechanism lightweight network

Abstract doi.org/10.14569/IJACSA.2024.0150147 PDF

48

An Ensemble Approach to Question Classification: Integrating Electra Transformer, GloVe, and LSTM

Author 1: Sanad Aburass Author 2: Osama Dorgham Author 3: Maha Abu Rumman

Natural Language Processing (NLP) has emerged as a critical technology for understanding and generating human language, with applications including machine translation, sentiment analysis, and, most importantly, question classification. As a subfield of NLP, question classification focuses on determining the type of information being sought, which is an important step for… Read full abstract & cite →

Ensemble learning long short term memory transformer models Electra GloVe TREC dataset

Abstract doi.org/10.14569/IJACSA.2024.0150148 PDF

49

SpanBERT-based Multilayer Fusion Model for Extractive Reading Comprehension

Author 1: Pu Zhang Author 2: Lei He Author 3: Deng Xi

Extractive reading comprehension is a prominent research topic in machine reading comprehension, which aims to predict the correct answer from the given context. Pre-trained models have recently shown considerable effectiveness in this area. However, during the training process, most existing models face the problem of semantic information loss. To address… Read full abstract & cite →

Machine reading comprehension pre-trained model transformer

Abstract doi.org/10.14569/IJACSA.2024.0150149 PDF

50

Topology Approach for Crude Oil Price Forecasting of Particle Swarm Optimization and Long Short-Term Memory

Author 1: Marina Yusoff Author 2: Darul Ehsan Author 3: Muhammad Yusof Sharif Author 4: Mohamad Taufik Mohd Sallehud-din

Forecasting crude oil prices hold significant importance in finance, energy, and economics, given its extensive impact on worldwide markets and socio-economic equilibrium. Using Long Short-Term Memory (LSTM) neural networks has exhibited noteworthy achievements in time series forecasting, specifically in predicting crude oil prices. Nevertheless, LSTM models frequently depend on the… Read full abstract & cite →

Crude oil deep learning Particle Swarm Optimization Long Term-Short Memory forecasting

Abstract doi.org/10.14569/IJACSA.2024.0150150 PDF

51

Explore Innovative Depth Vision Models with Domain Adaptation

Author 1: Wenchao Xu Author 2: Yangxu Wang

In recent years, deep learning has garnered widespread attention in graph-structured data. Nevertheless, due to the high cost of collecting labeled graph data, domain adaptation becomes particularly crucial in supervised graph learning tasks. The performance of existing methods may degrade when there are disparities between training and testing data, especially… Read full abstract & cite →

Deep learning neural network domain adaptation lightweight regularization techniques

Abstract doi.org/10.14569/IJACSA.2024.0150151 PDF

52

Improving Brain Tumor MRI Image Classification Prediction based on Fine-tuned MobileNet

Author 1: Quy Thanh Lu Author 2: Triet Minh Nguyen Author 3: Huan Le Lam

Brain tumors are a prevalent issue in contemporary society as they impact human health. The location of the tumor in the brain determines the variety of symptoms that may manifest. Some frequent symptoms are cephalalgia, convulsions, visual impairments, nausea, emesis, asthenia, paresthesia, dysphasia, personality alterations, and amnesia. The prognosis for… Read full abstract & cite →

Brain tumor fine-tuning transfer learning Magnetic Resonance Imaging (MRI) MobileNet

Abstract doi.org/10.14569/IJACSA.2024.0150152 PDF

53

DDoS Classification using Combined Techniques

Author 1: Mohd Azahari Mohd Yusof Author 2: Noor Zuraidin Mohd Safar Author 3: Zubaile Abdullah Author 4: Firkhan Ali Hamid Ali Author 5: Khairul Amin Mohamad Sukri Author 6: Muhamad Hanif Jofri Author 7: Juliana Mohamed Author 8: Abdul Halim Omar Author 9: Ida Aryanie Bahrudin Author 10: Mohd Hatta Mohamed Ali @ Md Hani

Now-a-days, the attacker's favourite is to disrupt a network system. An attacker has the capability to generate various types of DDoS attacks simultaneously, including the Smurf attack, ICMP flood, UDP flood, and TCP SYN flood. This DDoS issue encouraged the design of a classification technique against DDoS attacks that enter… Read full abstract & cite →

DDoS machine learning accuracy false positive rate

Abstract doi.org/10.14569/IJACSA.2024.0150153 PDF

54

Association Model of Temperature and Cattle Weight Influencing the Weight Loss of Cattle Due to Stress During Transportation

Author 1: Jajam Haerul Jaman Author 2: Agus Buono Author 3: Dewi Apri Astuti Author 4: Sony Hartono Wijaya Author 5: Burhanuddin Author 6: Jajam Haerul Jaman

This study aimed to enhance animal welfare in the context of modern agriculture. The Association Rule analysis method using FP-Growth and Apriori algorithms was employed to identify patterns and factors influencing animal welfare, particularly in the context of live cattle weight loss (shrink) due to stress during transportation. Data obtained… Read full abstract & cite →

Association rule animal welfare cattle management animal product quality modern agriculture recommendations sustainability

Abstract doi.org/10.14569/IJACSA.2024.0150154 PDF

55

Image Caption Generation using Deep Learning For Video Summarization Applications

Author 1: Mohammed Inayathulla Author 2: Karthikeyan C

In the area of video summarization applications, automatic image caption synthesis using deep learning is a promising approach. This methodology utilizes the capabilities of neural networks to autonomously produce detailed textual descriptions for significant frames or instances in a video. Through the examination of visual elements, deep learning models possess… Read full abstract & cite →

Video summarization deep learning image caption synthesis densenet201 GloVe embeddings LSTM

Abstract doi.org/10.14569/IJACSA.2024.0150155 PDF

56

Evolving Adoption of eLearning Tools and Developing Online Courses: A Practical Case Study from Al-Baha University, Saudi Arabia

Author 1: Hassan Alghamdi Author 2: Naif Alzahrani

eLearning or online learning has gained acceptance worldwide, particularly after the Covid-19 pandemic. Although the pandemic has forced the shift towards this learning mode, there is still a continuous need to improve instructors' cognitive and practical competencies to effectively design and deliver online courses. In this paper, a practical case… Read full abstract & cite →

eLearning ICT competencies Higher Education Institutions (HEIs) Learning Management System (LMS)

Abstract doi.org/10.14569/IJACSA.2024.0150156 PDF

57

Implementation of Machine Learning Classification Algorithm Based on Ensemble Learning for Detection of Vegetable Crops Disease

Author 1: Pradeep Jha Author 2: Deepak Dembla Author 3: Widhi Dubey

In India, plant diseases pose a significant threat to food security, requiring precise detection and management protocols to minimize potential damage. Research introduces an innovative ensemble machine learning model for precise disease detection in tomato, potato, and bell pepper crops. Utilizing transfer learning, pre-trained models such as MobileNet and Inception… Read full abstract & cite →

DNN transfer learning crop ensemble model deep stacking and stacking approach image pre-processing tomato bell paper potato disease

Abstract doi.org/10.14569/IJACSA.2024.0150157 PDF

58

Revolutionizing Software Project Development: A CNN-LSTM Hybrid Model for Effective Defect Prediction

Author 1: Selvin Jose G Author 2: J Charles

Within the domain of software development, the practice of software defect prediction (SDP) holds a central and critical position, significantly contributing to the efficiency and ultimate success of projects. It embodies a proactive approach that harnesses data-driven techniques and analytics to preemptively identify potential defects or vulnerabilities within software systems… Read full abstract & cite →

Data driven software development proactive defect identification software quality predictive analytics software defect prediction artificial intelligence long short term memory

Abstract doi.org/10.14569/IJACSA.2024.0150158 PDF

59

US Road Sign Detection and Visibility Estimation using Artificial Intelligence Techniques

Author 1: Jafar AbuKhait

This paper presents a fully-automated system for detecting road signs in the United States and assess their visibility during daytime from the perspective of the driver using images captured by an in-vehicle camera. The system deploys YOLOv8 to build a multi-label detection model and then, calculates various readability and detectability… Read full abstract & cite →

Road sign detection YOLOv8 driver assistance system fuzzy logic detectability visibility estimation

Abstract doi.org/10.14569/IJACSA.2024.0150159 PDF

60

Dual-Branch Grouping Multiscale Residual Embedding U-Net and Cross-Attention Fusion Networks for Hyperspectral Image Classification

Author 1: Ning Ouyang Author 2: Chenyu Huang Author 3: Leping Lin

Due to the high cost and time-consuming nature of acquiring labelled samples of hyperspectral data, classification of hyperspectral images with a small number of training samples has been an urgent problem. In recent years, U-Net can train the characteristics of high-precision models with a small amount of data, showing its… Read full abstract & cite →

U-Net multiscale cross-attention hyperspectral image classification

Abstract doi.org/10.14569/IJACSA.2024.0150160 PDF

61

FPGA-based Implementation of a Resource-Efficient UNET Model for Brain Tumour Segmentation

Author 1: Modise Kagiso Neiso Author 2: Nicasio Maguu Muchuka Author 3: Shadrack Maina Mambo

In this study an optimized UNET model is used for FPGA-based inference in the context of brain tumour segmentation using the BraTS dataset. The presented model features reduced depth and fewer filters, tailored to enhance efficiency on FPGA hardware. The implementation leverages High-Level Synthesis for Machine Learning (HLS4ML) to optimize… Read full abstract & cite →

UNET field programmable gate array high-level synthesis for machine learning brain tumour segmentation

Abstract doi.org/10.14569/IJACSA.2024.0150161 PDF

62

Enhancing Diabetes Management: A Hybrid Adaptive Machine Learning Approach for Intelligent Patient Monitoring in e-Health Systems

Author 1: Sushil Dohare Author 2: Deeba K Author 3: Laxmi Pamulaparthy Author 4: Shokhjakhon Abdufattokhov Author 5: Janjhyam Venkata Naga Ramesh Author 6: Yousef A.Baker El-Ebiary Author 7: E. Thenmozhi

The goal of the present research is to better understand the need of accurate and ongoing monitoring in the complicated chronic metabolic disease known as diabetes. With the integration of an intelligent system utilising a hybrid adaptive machine learning classifier, the suggested method presents a novel way to tracking individuals… Read full abstract & cite →

Diabetes machine learning convolutional neural network support vector machine grey wolf optimization e-health systems

Abstract doi.org/10.14569/IJACSA.2024.0150162 PDF

63

Feature Selection Model Development on Near-Infrared Spectroscopy Data

Author 1: Ridwan Raafi’udin Author 2: Y. Aris Purwanto Author 3: Imas Sukaesih Sitanggang Author 4: Dewi Apri Astuti

This study aims to develop a feature selection model on Near-Infrared Spectroscopy (NIRS) data. The object used is beef with six quality parameters: color, drip loss, pH, storage time, Total Plate Colony (TPC), and water moisture. The prediction model is a Random Forest Regressor (RFR) with default parameters. The feature… Read full abstract & cite →

Beef quality prediction feature selection machine learning Random Forest Regressor

Abstract doi.org/10.14569/IJACSA.2024.0150163 PDF

64

Research on Spatial Accessibility Measurement Algorithm for Sanya Tourist Attractions Based on Seasonal Factor Adjustment Analysis

Author 1: Xiaodong Mao Author 2: Yan Zhuang

Seasonal factors will lead to changes in tourists' demand for scenic spots in different seasons, which will affect the traffic network and road conditions, and then affect the convenience and efficiency of tourists arriving at scenic spots. Based on the adjustment and analysis of seasonal factors, this study puts forward… Read full abstract & cite →

Seasonal factors adjustment analysis Sanya Tourist Attractions spatial accessibility measure GIS technology

Abstract doi.org/10.14569/IJACSA.2024.0150164 PDF

65

Decoding the Narrative: Patterns and Dynamics in Monkeypox Scholarly Publications

Author 1: Muhammad Khahfi Zuhanda Author 2: Desniarti Author 3: Anil Hakim Syofra Author 4: Andre Hasudungan Lubis Author 5: Prana Ugiana Gio Author 6: Habib Satria Author 7: Rahmad Syah

This study conducts a bibliometric analysis of monkeypox research to uncover trends, influential publishers, and key research topics. A dataset of Google Scholar-indexed articles was analyzed using bibliometric methods and tools such as Publish or Perish (PoP), VOSviewer, and Bibliometrix. The study reveals a growing research interest in monkeypox, with… Read full abstract & cite →

Bibliometrics monkeypox virus research trends publication patterns research impact

Abstract doi.org/10.14569/IJACSA.2024.0150165 PDF

66

Healthcare Intrusion Detection using Hybrid Correlation-based Feature Selection-Bat Optimization Algorithm with Convolutional Neural Network

Author 1: H. Kanakadurga Bella Author 2: S. Vasundra

Cloud computing is popular among users in various areas such as healthcare, banking, and education due to its low-cost services alongside increased reliability and efficiency. But, security is a significant problem in cloud-based systems due to the cloud services being accessed via the Internet by a variety of users. Therefore… Read full abstract & cite →

Convolutional neural network deep learning intrusion detection system healthcare security

Abstract doi.org/10.14569/IJACSA.2024.0150166 PDF

67

Context-Aware Transfer Learning Approach to Detect Informative Social Media Content for Disaster Management

Author 1: Saima Saleem Author 2: Monica Mehrotra

In the wake of disasters, timely access to accurate information about on-the-ground situation is crucial for effective disaster response. In this regard, social media (SM) like Twitter have emerged as an invaluable source of real-time user-generated data during such events. However, accurately detecting informative content from large amounts of unstructured… Read full abstract & cite →

Disaster management twitter distilBERT deep learning multistage finetuning transfer learning

Abstract doi.org/10.14569/IJACSA.2024.0150167 PDF

68

Practical Application of AI and Large Language Models in Software Engineering Education

Author 1: Vasil Kozov Author 2: Galina Ivanova Author 3: Desislava Atanasova

Subjects with limited application in the software industry like AI have recently received tremendous boon due to the development and raise of publicity of LLMs. LLM-powered software has a wide array of practical applications that must be taught to Software Engineering students, so that they can be relevant in the… Read full abstract & cite →

Application of AI-powered software AI generated images software engineering stable diffusion higher education

Abstract doi.org/10.14569/IJACSA.2024.0150168 PDF

69

A Novel Approach to Data Clustering based on Self-Adaptive Bacteria Foraging Optimization

Author 1: Tanmoy Singha Author 2: Rudra Sankar Dhar Author 3: Joydeep Dutta Author 4: Arindam Biswas

Data clustering reduces the number of data objects by grouping similar data objects together. In this process, data are divided into valuable groups (clusters) or expressive without at all previous information. This manuscript represents a different clustering algorithm based on the technique of the adaptive strategy algorithm known as Self-Adaptive… Read full abstract & cite →

Data clustering Self-Adaptive Bacterial Foraging Optimization (SABFO) Particle Swarm Optimization (PSO) FBADE scheme the k-means algorithm and the classical BFO

Abstract doi.org/10.14569/IJACSA.2024.0150169 PDF

70

Traffic Flow Prediction in Urban Networks: Integrating Sequential Neural Network Architectures

Author 1: Eva Lieskovska Author 2: Maros Jakubec Author 3: Pavol Kudela

The rapid growth of urban areas has significantly compounded traffic challenges, amplifying concerns about congestion and the need for efficient traffic management. Accurate short-term traffic flow prediction remains important for strategic infrastructure planning within these expanding urban networks. This study explores a Transformer-based model designed for traffic flow prediction, conducting… Read full abstract & cite →

Traffic flow short-term prediction machine learning transformer

Abstract doi.org/10.14569/IJACSA.2024.0150170 PDF

71

Experience Replay Optimization via ESMM for Stable Deep Reinforcement Learning

Author 1: Richard Sakyi Osei Author 2: Daphne Lopez

The memorization and reuse of experience, popularly known as experience replay (ER), has improved the performance of off-policy deep reinforcement learning (DRL) algorithms such as deep Q-networks (DQN) and deep deterministic policy gradients (DDPG). Despite its success, ER faces the challenges of noisy transitions, large memory sizes, and unstable returns… Read full abstract & cite →

Experience replay experience replay optimization experience retention strategy experience selection strategy replay memory management

Abstract doi.org/10.14569/IJACSA.2024.0150171 PDF

72

Real Time FPGA Implementation of a High Speed for Video Encryption and Decryption System with High Level Synthesis Tools

Author 1: Ahmed Alhomoud

The development of communication networks has made information security more important than ever for both transmission and storage. Since the majority of networks involve images, image security is becoming a difficult challenge. In order to provide real-time image encryption and decryption, this study suggests an FPGA implementation of a video… Read full abstract & cite →

Security encryption decryption AES HDL coder high level synthesis FPGA Zynq7000

Abstract doi.org/10.14569/IJACSA.2024.0150172 PDF

73

A Method to Increase the Analysis Accuracy of Stock Market Valuation: A Case Study of the Nasdaq Index

Author 1: Haixia Niu

For a significant period, conventional methodologies have been employed to assess fundamental and technical aspects in forecasting and analyzing stock market performance. The precision and availability of stock market predictions have been enhanced by machine learning. Various machine learning methods have been utilized for stock market predictions. A novel, optimized… Read full abstract & cite →

Machine learning Nasdaq index support vector regression gray wolf optimizer slime mould algorithm

Abstract doi.org/10.14569/IJACSA.2024.0150173 PDF

74

Presenting an Optimized Hybrid Model for Stock Price Prediction

Author 1: Liangchao LIU

In the finance sector, stock price forecasting is deemed crucial for traders and investors. In this study, a detailed comparison and analysis of various machine learning models for stock price forecasting were undertaken. Historical stock data and an array of technical indicators were utilized in these models. The enhancement of… Read full abstract & cite →

Stock prediction machine learning approaches ensemble learning grasshopper optimization histogram-based gradient boosting

Abstract doi.org/10.14569/IJACSA.2024.0150174 PDF

75

Scalable Accelerated Intelligent Charging Strategy Recommendation for Electric Vehicles Based on Deep Q-Networks

Author 1: Xianhao Shen Author 2: Zhen Wu Author 3: Yexin Zhang Author 4: Shaohua Niu

With the rapid development of electric vehicles, their charging strategies significantly impact the overall power grid. Solving the spatiotemporal scheduling problem of vehicle charging has become a hot research topic. This paper focuses on recommending suitable charging stations for electric vehicles and proposes a scalable accelerated intelligent charging strategy recommendation… Read full abstract & cite →

Scalable acceleration smart charging Deep Q-network Markov decision

Abstract doi.org/10.14569/IJACSA.2024.0150175 PDF

76

Geospatial Pharmacy Navigator: A Web and Mobile Application Integrating Geographical Information System (GIS) for Medicine Accessibility

Author 1: Mia Amor C. Tinam-isan Author 2: Sherwin D. Sandoval Author 3: Nathanael R. Neri Author 4: Nasrollah L. Gandamato

This project introduces a web and mobile application that integrates Geographic Information Systems (GIS) to identify pharmacies with available prescription drugs, addressing the expanding role of Information and Communication Technology (ICT) in healthcare. The primary objective is to offer the general public an easy-to-use platform that locates the closest pharmacy… Read full abstract & cite →

ICT in health mobile application web application GIS pharmacy mapping

Abstract doi.org/10.14569/IJACSA.2024.0150176 PDF

77

Hybrid Bio-Inspired Optimization-based Cloud Resource Demand Prediction using Improved Support Vector Machine

Author 1: Nisha Sanjay Author 2: Sasikumaran Sreedharan

In order to furnish diverse resource requirements in cloud computing, numerous resources are integrated into a data centre. How to deliver resources in a timely and accurate manner to meet user expectations is a significant concern. However, the resource demands of users fluctuate greatly and frequently change regularly. It's possible… Read full abstract & cite →

Cloud computing resource demand machine learning cloud resource demand prediction bio-inspired algorithm

Abstract doi.org/10.14569/IJACSA.2024.0150177 PDF

78

Spatial Display Model of Oil Painting Art Based on Digital Vision Design

Author 1: Qiong Yang Author 2: Zixuan Yue

Oil painting, owing to its unique expressive approach, holds infinite charm in classical artistic creation, yet introduces complexities in terms of manual maintenance. In pursuit of digital spatial visualization of oil painting art, this study employs a stereo matching algorithm and Efficient large-scale stereo matching, focusing on aspects like disparity… Read full abstract & cite →

Oil painting spatial visualization Stereo matching Spatial display ELAS

Abstract doi.org/10.14569/IJACSA.2024.0150178 PDF

79

Research on Neural Network-based Automatic Music Multi-Instrument Classification Approach

Author 1: Ribin Guo

The automatic classification of multi-instruments plays a crucial role in providing services for music retrieval and recommendation. This paper focuses on automatic multi-instrument classification. Firstly, instrument features were analyzed, and Mel-frequency cepstral coefficient (MFCC) and perceptual linear predictive coefficient (PLPC) were extracted from instrument signals. Features were selected using the… Read full abstract & cite →

Neural network musical instrument automatic classification auditory feature sparrow search algorithm

Abstract doi.org/10.14569/IJACSA.2024.0150179 PDF

80

HarborSync: An Advanced Energy-efficient Clustering-based Algorithm for Wireless Sensor Networks to Optimize Aggregation and Congestion Control

Author 1: Ibrahim Aqeel

In the ever-evolving landscape of Wireless Sensor Networks (WSNs), the demand for cutting-edge algorithms has never been more critical. This paper proposes an algorithm, HarborSync, to improve stability, energy efficiency, durability, and congestion control in WSN. While selecting cluster heads and backup nodes, HarborSync applies the Optimised Stable Clustering Algorithm… Read full abstract & cite →

Clustering congestion control cluster head selection energy-efficient clustering wireless sensor networks energy optimization

Abstract doi.org/10.14569/IJACSA.2024.0150180 PDF

81

Application of Skeletal Skinned Mesh Algorithm Based on 3D Virtual Human Model in Computer Animation Design

Author 1: Zhongkai Zhan

3D virtual character animation is the core technology of games, animation, and virtual reality. To improve its visual and realistic effects, the research focused on the skeleton skinned mesh algorithm. Firstly, a three-dimensional human body model was established based on motion capture data. Then, the skin vertex weight calculation and… Read full abstract & cite →

3D virtual human skinned mesh algorithm weight character animation dual quaternion motion capture data

Abstract doi.org/10.14569/IJACSA.2024.0150181 PDF

82

Applying Computer Vision and Machine Learning Techniques in STEM-Education Self-Study

Author 1: Rustam Abdrakhmanov Author 2: Assyl Tuimebayev Author 3: Botagoz Zhussipbek Author 4: Kalmurat Utebayev Author 5: Venera Nakhipova Author 6: Oichagul Alchinbayeva Author 7: Gulfairuz Makhanova Author 8: Olzhas Kazhybayev

In this innovative exploration, "Applying Computer Vision Techniques in STEM-Education Self-Study," the research delves into the transformative intersection of advanced computer vision (CV) technologies and self-directed learning within Science, Technology, Engineering, and Mathematics (STEM) education. Challenging traditional educational paradigms, this study posits that sophisticated CV algorithms, when judiciously integrated with… Read full abstract & cite →

Load balancing machine learning server classification software

Abstract doi.org/10.14569/IJACSA.2024.0150182 PDF

83

Automated Fruit Sorting in Smart Agriculture System: Analysis of Deep Learning-based Algorithms

Author 1: Cheng Liu Author 2: Shengxiao Niu

Automated fruit sorting plays a crucial role in smart agriculture, enabling efficient and accurate classification of fruits based on various quality parameters. Traditionally, rule-based and machine-learning methods have been employed for fruit sorting, but in recent years, deep learning-based approaches have gained significant attention. This paper investigates deep learning methods… Read full abstract & cite →

Smart agriculture automated fruit sorting deep learning Convolutional Neural Network (CNN) analysis

Abstract doi.org/10.14569/IJACSA.2024.0150183 PDF

84

Artificial Intelligence-driven Training and Improvement Methods for College Students' Line Dancing

Author 1: Xiaohui WANG

With the advancement of computer technology, artificial intelligence technology has gradually become a research focus, and the thinking of relevant researchers has gradually transferred from the computer to the interaction between computers and humans. Artificial intelligence has begun to appear in various industries. With its rigorous computing logic and efficient… Read full abstract & cite →

Motion capture artificial intelligence technology virtual reality college students’ line dance training dance ascension

Abstract doi.org/10.14569/IJACSA.2024.0150184 PDF

85

State-of-the-Art Review of Deep Learning Methods in Fake Banknote Recognition Problem

Author 1: Ualikhan Sadyk Author 2: Rashid Baimukashev Author 3: Cemil Turan

In the burgeoning epoch of digital finance, the exigency for fortified monetary transactions is paramount, underscoring the need for advanced counterfeit deterrence methodologies. The research paper provides an exhaustive analysis, delving into the profundities of employing sophisticated deep learning (DL) paradigms in the battle against fiscal fraudulence through fake banknote… Read full abstract & cite →

Fake banknote detection classification recognition review

Abstract doi.org/10.14569/IJACSA.2024.0150185 PDF

86

Development of Intellectual Decision Making System for Logistic Business Process Management

Author 1: Zhadra Kozhamkulova Author 2: Leilya Kuntunova Author 3: Shirin Amanzholova Author 4: Almagul Bizhanova Author 5: Marina Vorogushina Author 6: Aizhan Kuparova Author 7: Mukhit Maikotov Author 8: Elmira Nurlybayeva

This research paper delves into the design and development of an Intellectual Decision Making System (IDMS) incorporated into a Logistic Business Process Management System (LBPSMS), employing advanced Machine Learning (ML) models. Aimed at streamlining and optimizing logistics business operations, the focal point of this study is to significantly elevate efficiency… Read full abstract & cite →

Decision making logistics business process machine learning management

Abstract doi.org/10.14569/IJACSA.2024.0150186 PDF

87

Construction of Short-Term Traffic Flow Prediction Model Based on IoT and Deep Learning Algorithms

Author 1: Xiaowei Sun Author 2: Huili Dou

On a global scale, traffic problems are an essential factor affecting urban operations, particularly challenging the frequent occurrence of traffic congestion and accidents. The solution to the problem requires real-time and accurate prediction of traffic flow. This article mainly explores the application of the Internet of Things and deep learning… Read full abstract & cite →

Internet of things deep learning algorithm short term traffic flow prediction model

Abstract doi.org/10.14569/IJACSA.2024.0150187 PDF

88

Deep Learning for Early Detection of Tomato Leaf Diseases: A ResNet-18 Approach for Sustainable Agriculture

Author 1: Asha M S Author 2: Yogish H K

The paper explores the application of Convolutional Neural Networks (CNNs), specifically ResNet-18, in revolutionizing the identification of diseases in tomato crops. Facing threats from pathogens like Phytophthora infestans, timely disease detection is crucial for mitigating economic losses and ensuring food security. Traditionally, manual inspection and labour-intensive tests posed limitations, prompting… Read full abstract & cite →

Convolution neural networks tomato crop health deep learning binary classification disease detection

Abstract doi.org/10.14569/IJACSA.2024.0150188 PDF

89

EmotionNet: Dissecting Stress and Anxiety Through EEG-based Deep Learning Approaches

Author 1: Yassine Daadaa

Amid global health crises, such as the COVID-19 pandemic, the heightened prevalence of mental health disorders like stress and anxiety has underscored the importance of understanding and predicting human emotions. Introducing "EmotionNet," an advanced system that leverages deep learning and state-of-the-art hardware capabilities to predict emotions, specifically stress and anxiety… Read full abstract & cite →

Electroencephalography (EEG) Long short-term memory (LSTM) Convolutional neural network (CNN) human stress anxiety detection deep learning

Abstract doi.org/10.14569/IJACSA.2024.0150189 PDF

90

Target Detection in Martial Arts Competition Video using Kalman Filter Algorithm Based on Multi target Tracking

Author 1: Zhiguo Xin

To solve the low accuracy and poor stability in traditional object tracking methods for martial arts competition videos, a Kalman filtering algorithm based on feature matching and multi object tracking is proposed for object detection in martial arts competition videos. Firstly, feature matching in multi target tracking is studied. Then… Read full abstract & cite →

Multi target tracking Kalman filtering algorithm martial arts competition videos target detection feature matching

Abstract doi.org/10.14569/IJACSA.2024.0150190 PDF

91

2D-CNN Architecture for Accurate Classification of COVID-19 Related Pneumonia on X-Ray Images

Author 1: Nurlan Dzhaynakbaev Author 2: Nurgul Kurmanbekkyzy Author 3: Aigul Baimakhanova Author 4: Iyungul Mussatayeva

In the wake of the COVID-19 pandemic, the use of medical imaging, particularly X-ray radiography, has become integral to the rapid and accurate diagnosis of pneumonia induced by the virus. This research paper introduces a novel two-dimensional Convolutional Neural Network (2D-CNN) architecture specifically tailored for the classification of COVID-19 related… Read full abstract & cite →

Machine learning deep learning X-Ray CNN detection classification

Abstract doi.org/10.14569/IJACSA.2024.0150191 PDF

92

Revolutionizing Generalized Anxiety Disorder Detection using a Deep Learning Approach with MGADHF Architecture on Social Media

Author 1: Faisal Alshanketi

In the contemporary landscape, social media has emerged as a dominant medium via which individuals are able to articulate a wide range of emotions, encompassing both positive and negative sentiments, therefore offering significant insights into their psychological well-being. The ability to identify these emotional signals plays a vital role in… Read full abstract & cite →

Deep learning machine learning anxiety disorder social media grey wolf optimization technique

Abstract doi.org/10.14569/IJACSA.2024.0150192 PDF

93

Intelligent Temperature Control Method of Instrument Based on Fuzzy PID Control Technology

Author 1: Wenfang Li Author 2: Yuqiao Wang

The current instrumentation intelligent temperature control is generally realized based on PID control technology, whose efficiency and precision are low and cannot meet the actual production requirements. A fuzzy PID (FPID) control technique is suggested as a solution to this issue with the goal to increase the control precision by… Read full abstract & cite →

Fuzzy PID control instrumentation intelligent temperature control differential negative feedback grey wolf optimization algorithm

Abstract doi.org/10.14569/IJACSA.2024.0150193 PDF

94

Designing an Adaptive Effective Intrusion Detection System for Smart Home IoT

Author 1: Hassen Sallay

As the ubiquity of IoT devices in smart homes escalates, so does the vulnerability to cyber threats that exploit weaknesses in device security. Timely and accurate detection of attacks is critical to protect smart home networks. Intrusion Detection Systems (IDS) are a cornerstone in any layered security defense strategy. However… Read full abstract & cite →

Smart home IoT IDS taxonomy architecture SDN ELM

Abstract doi.org/10.14569/IJACSA.2024.0150194 PDF

95

Audio Style Conversion Based on AutoML and Big Data Analysis

Author 1: Dan Chi

In the field of audio style conversion research, the application of AutoML and big data analysis has shown great potential. The study used AutoML and big data analysis methods to conduct deep learning on audio styles, especially in style transitions between flutes and violins. The results show that using iterative… Read full abstract & cite →

AutoML audio style conversion machine learning big data analysis adain module

Abstract doi.org/10.14569/IJACSA.2024.0150195 PDF

96

Attraction Recommendation and Itinerary Planning for Smart Rural Tourism Based on Regional Segmentation

Author 1: Ruiping Chen Author 2: Yanli Zhou Author 3: Dejun Zhang

As the rural tourism industry develops, effective attraction recommendations and planning are crucial for the tourist experience. Then, a rural scenic spot tourism recommendation and planning technology based on regional segmentation was proposed. The scenic area was divided into multiple grids based on tourist check-in behaviour, and the interest and… Read full abstract & cite →

Regional division trip planning recommended tourist attractions clustering algorithm time factor

Abstract doi.org/10.14569/IJACSA.2024.0150196 PDF

97

A Hybrid GAN-BiGRU Model Enhanced by African Buffalo Optimization for Diabetic Retinopathy Detection

Author 1: Sasikala P Author 2: Sushil Dohare Author 3: Mohammed Saleh Al Ansari Author 4: Janjhyam Venkata Naga Ramesh Author 5: Yousef A.Baker El-Ebiary Author 6: E. Thenmozhi

Diabetic retinopathy (DR) is a severe complication of diabetes mellitus, leading to vision impairment or even blindness if not diagnosed and treated early. A manual inspection of the patient's retina is the conventional way for diagnosing diabetic retinopathy. This study offers a novel method for the identification of diabetic retinopathy… Read full abstract & cite →

African Buffalo Optimization (ABO) Bidirectional Gated Recurrent Unit (BI-GRU) Generative Adversarial Network (GAN) diabetic retinopathy medical diagnosis

Abstract doi.org/10.14569/IJACSA.2024.0150197 PDF

98

The Application of Artificial Intelligence Technology in Ideological and Political Education

Author 1: Chao Xu Author 2: Lin Wu

As for many schools, artificial intelligence will be more than a practical background; it is also a technical tool and an opportunity for development. Artificial intelligence's in-depth integration and standardization can inject new technological momentum into effectively identifying educational objects' ideological dynamics, improving educational content's accuracy, and expanding the spatial… Read full abstract & cite →

Artificial intelligence ideological and political education wisdom development semantic understanding and emotional analysis

Abstract doi.org/10.14569/IJACSA.2024.0150198 PDF

99

Predicting Students' Academic Performance Through Machine Learning Classifiers: A Study Employing the Naive Bayes Classifier (NBC)

Author 1: Xin ZHENG Author 2: Conghui LI

Modern universities must strategically analyze and manage student performance, utilizing knowledge discovery and data mining to extract valuable insights and enhance efficiency. Educational Data Mining (EDM) is a theory-oriented approach in academic settings that integrates computational methods to improve academic performance and faculty management. Machine learning algorithms are essential for… Read full abstract & cite →

Machine learning Naive Bayes Classifier Artificial Rabbits Optimization Jellyfish Search Optimizer student performance

Abstract doi.org/10.14569/IJACSA.2024.0150199 PDF

100

A Deep Learning-based Framework for Vehicle License Plate Detection

Author 1: Deming Yang Author 2: Ling Yang

In the contemporary landscape of smart transportation systems, the imperative role of intelligent traffic monitoring in bolstering efficiency, safety, and sustainability cannot be overstated. Leveraging recent strides in computer vision, machine learning, and data analytics, this study addresses the pressing need for advancements in car license plate recognition within these… Read full abstract & cite →

Intelligent traffic monitoring smart transportation deep learning Yolov5 performance evaluation

Abstract doi.org/10.14569/IJACSA.2024.01501100 PDF

101

Estimation of Heating Load Consumption in Residual Buildings using Optimized Regression Models Based on Support Vector Machine

Author 1: Chao WANG Author 2: Xuehui QIU

Accurate energy consumption forecasting and assessing retrofit options are vital for energy conservation and emissions reduction. Predicting building energy usage is complex due to factors like building attributes, energy systems, weather conditions, and occupant behavior. Extensive research has led to diverse methods and tools for estimating building energy performance, including… Read full abstract & cite →

Heating load demand prediction models building energy consumption support vector machine metaheuristic optimization algorithms

Abstract doi.org/10.14569/IJACSA.2024.01501101 PDF

102

Application of Ant Colony Optimization Improved Clustering Algorithm in Malicious Software Identification

Author 1: Yong Qian

Due to the increasing threat of malware to computer systems and networks, traditional malware detection and recognition technologies face difficulties and limitations. Therefore, exploring new methods to improve the accuracy and efficiency of malware identification has become an urgent need. This study introduces ant colony algorithm to optimize traditional clustering… Read full abstract & cite →

Ant colony algorithm clustering algorithm malicious software identification computer security optimization algorithm

Abstract doi.org/10.14569/IJACSA.2024.01501102 PDF

103

The Application of MIR Technology in Higher Vocational English Teaching

Author 1: Xiaoting Deng

The traditional teaching model is teacher centered, with conservative textbooks and methods. To some extent, multimedia information retrieval technology can provide relevant information based on user query conditions, thereby alleviating the problem of information overload. This study applies image retrieval, audio and video retrieval techniques from multimedia information retrieval technology… Read full abstract & cite →

English teaching in higher vocational colleges multimedia information retrieval technology applied research modern teaching models

Abstract doi.org/10.14569/IJACSA.2024.01501103 PDF

104

Meta-Model Classification Based on the Naïve Bias Technique Auto-Regulated via Novel Metaheuristic Methods to Define Optimal Attributes of Student Performance

Author 1: Zhen Ren Author 2: Mingmin He

Accurately assessing and predicting student performance is critical in today’s educational environment. Schools are dependent on evaluating students’ skills, forecasting their grades, and providing customized instruction to improve their academic performance. Early intervention is essential for pinpointing areas in need of development. By predicting students’ futures in particular subjects, data… Read full abstract & cite →

Student performance machine learning classification Naive Bayes Classification Alibaba and the forty thieves Leader Harris Hawk’s Optimization

Abstract doi.org/10.14569/IJACSA.2024.01501104 PDF

105

Design of Teaching Mode and Evaluation Method of Effect of Art Design Course from the Perspective of Big Data

Author 1: Danjun ZHU Author 2: Gangtian LIU

In modern educational curriculum teaching, we should fully leverage the advantages of modern technology, especially in teaching methods, and deeply understand and apply big data technology. This article explores the design and effectiveness evaluation methods of curriculum teaching models from the perspective of big data. We utilized big data thinking… Read full abstract & cite →

Big data perspective teaching mode evaluation system art and design hybrid teaching

Abstract doi.org/10.14569/IJACSA.2024.01501105 PDF

106

Research on Evaluation and Improvement of Government Short Video Communication Effect Based on Big Data Statistics

Author 1: Man Xu

Mainstream media is no longer the only way for people to obtain information, and the official media no longer has absolute control. People can choose the form and content of receiving information according to their preferences, which poses a new challenge to the government departments that have always been serious… Read full abstract & cite →

Big data statistics short videos of government affairs communication effect linear regression mainstream media

Abstract doi.org/10.14569/IJACSA.2024.01501106 PDF

107

Improved Ant Colony Algorithm Based on Binarization in Computer Text Recognition

Author 1: Zhen Li

Pheromones, path selection, and probability transfer functions are the main factors that affect the performance of computer text recognition. The path selection function is the most important factor affecting the recognition rate. In response to the difficulties in path selection and slow algorithm convergence in the text recognition, an edge… Read full abstract & cite →

Binarization ant colony algorithm text recognition edge detection Otsu algorithm

Abstract doi.org/10.14569/IJACSA.2024.01501107 PDF

108

Application of Style Transfer Algorithm in Artistic Design Expression of Terrain Environment

Author 1: Yangfei Chen

The use of artistic expression to depict and express terrain and landform can not only convey terrain information, but also spread art and culture. The existing landscape design methods focus on the accurate expression of terrain height and the realistic expression of form, but neglect the aesthetic aspect of landscape… Read full abstract & cite →

Generative adversarial network terrain style transfer artistic peak signal-to-noise ratio Structural Similarity Index

Abstract doi.org/10.14569/IJACSA.2024.01501108 PDF

109

An Improved K-means Clustering Algorithm Towards an Efficient Educational and Economical Data Modeling

Author 1: Rabab El Hatimi Author 2: Cherifa Fatima Choukhan Author 3: Mustapha Esghir

Education is one of the most crucial pillars for the sustainable development of societies. It is essential for each country to assess its level of access to education. However, the conventional methods of ranking access to education have their limitations. Therefore, there is a need for strategic planning to develop… Read full abstract & cite →

Education assessment unsupervised learning statistical analysis world bank data K-means

Abstract doi.org/10.14569/IJACSA.2024.01501109 PDF

110

Investigating the Impact of Preprocessing Techniques and Representation Models on Arabic Text Classification using Machine Learning

Author 1: Mahmoud Masadeh Author 2: Moustapha. A Author 3: Sharada B Author 4: Hanumanthappa J Author 5: Hemachandran K Author 6: Channabasava Chola Author 7: Abdullah Y. Muaad

Arabic Text Classification (ATC) is a crucial step for various Natural Language Processing (NLP) applications. It emerged as a response to the exponential growth of online content like social posts and review comments. In this study, preprocessing techniques and representation models are used to evaluate the effectiveness of ATC using… Read full abstract & cite →

Arabic Text Classification (ATC) Text Mining (TM) Machine Learning (ML) preprocessing methods representation models Feature Extraction (FE) Feature Selection (FS)

Abstract doi.org/10.14569/IJACSA.2024.01501110 PDF

111

Evaluating Tree-based Ensemble Strategies for Imbalanced Network Attack Classification

Author 1: Hui Fern Soon Author 2: Amiza Amir Author 3: Hiromitsu Nishizaki Author 4: Nik Adilah Hanin Zahri Author 5: Latifah Munirah Kamarudin Author 6: Saidatul Norlyana Azemi

With the continual evolution of cybersecurity threats, the development of effective intrusion detection systems is increasingly crucial and challenging. This study tackles these challenges by exploring imbalanced multiclass classification, a common situation in network intrusion datasets mirroring real-world scenarios. The paper aims to empirically assess the performance of diverse classification… Read full abstract & cite →

Multiclass imbalanced classification ensemble algorithm network attack UNSW-NB15 dataset F1-score

Abstract doi.org/10.14569/IJACSA.2024.01501111 PDF

112

Bystander Detection: Automatic Labeling Techniques using Feature Selection and Machine Learning

Author 1: Anamika Gupta Author 2: Khushboo Thakkar Author 3: Veenu Bhasin Author 4: Aman Tiwari Author 5: Vibhor Mathur

A hostile or aggressive behavior on an online platform by an individual or a group of people is termed as cyberbullying. A bystander is the one who sees or knows about such incidences of cyberbullying. A defender who intervenes can mitigate the impact of bullying, an instigator who accomplices the… Read full abstract & cite →

Bystanders cyberbullying machine learning defender instigator impartial toxicity twitter

Abstract doi.org/10.14569/IJACSA.2024.01501112 PDF

113

Using Deep Learning to Recognize Fake Faces

Author 1: Jaffar Atwan Author 2: Mohammad Wedyan Author 3: Dheeb Albashish Author 4: Elaf Aljaafrah Author 5: Ryan Alturki Author 6: Bandar Alshawi

In recent times, many fake faces have been created using deep learning and machine learning. Most fake faces made with deep learning are referred to as “deepfake photos.” Our study’s primary goal is to propose a useful framework for recognizing deep-fake photos using deep learning and transformative learning techniques. This… Read full abstract & cite →

Deep learning machine learning deepfake convolutional neural network global average pooling

Abstract doi.org/10.14569/IJACSA.2024.01501113 PDF

114

Enhancing Adversarial Defense in Neural Networks by Combining Feature Masking and Gradient Manipulation on the MNIST Dataset

Author 1: Ganesh Ingle Author 2: Sanjesh Pawale

This research investigates the escalating issue of adversarial attacks on neural networks within AI security, specifically targeting image recognition using the MNIST dataset. Our exploration centered on the potential of a combined approach incorporating feature masking and gradient manipulation to bolster adversarial defense. The main objective was to evaluate the… Read full abstract & cite →

Feature masking neural networks gradient manipulation adversarial resilience fast gradient sign method

Abstract doi.org/10.14569/IJACSA.2024.01501114 PDF

115

Automated Paper-based Multiple Choice Scoring Framework using Fast Object Detection Algorithm

Author 1: Pham Doan Tinh Author 2: Ta Quang Minh

Optical mark reader (OMR) technology is an important research topic in artificial intelligence, with a wide range of applications such as text processing, document recognition, surveying, statistics, and process automation. Researchers have proposed many methods employing either traditional image processing and statistics or complex machine learning models. This paper presents… Read full abstract & cite →

Optical mark reader multiple choice exam automatic scoring segmentation fast object detection

Abstract doi.org/10.14569/IJACSA.2024.01501115 PDF

116

EpiNet: A Hybrid Machine Learning Model for Epileptic Seizure Prediction using EEG Signals from a 500 Patient Dataset

Author 1: Oishika Khair Esha Author 2: Nasima Begum Author 3: Shaila Rahman

The accurate prognosis of epileptic seizures has great significance in enhancing the management of epilepsy, necessitating the creation of robust and precise predictive models. EpiNet, our hybrid machine learning model for EEG signal analysis, incorporates key elements of computer vision and machine learning , positioning it within this advancing technological… Read full abstract & cite →

Epilepsy seizure prediction computer vision hybrid model electroencephalography bonn dataset proactive healthcare

Abstract doi.org/10.14569/IJACSA.2024.01501116 PDF

117

A Comparative Study of ChatGPT-based and Hybrid Parser-based Sentence Parsing Methods for Semantic Graph-based Induction

Author 1: Walelign Tewabe Author 2: Laszlo Kovacs

Sentence parsing is a fundamental step in the conversion of a text document into semantic graphs. In this research, novel phrase parsing techniques for semantic graph-based induction are presented, namely the ChatGPT-based and Hybrid Parser-based approaches. The performance of these two approaches in the context of inducing semantic networks from… Read full abstract & cite →

Adverb prediction ChatGPT hybrid parser-based natural language processing sentence parsing semantic graph induction

Abstract doi.org/10.14569/IJACSA.2024.01501117 PDF

118

Overview of Data Augmentation Techniques in Time Series Analysis

Author 1: Ihababdelbasset ANNAKI Author 2: Mohammed RAHMOUNE Author 3: Mohammed BOURHALEB

Time series data analysis is vital in numerous fields, driven by advancements in deep learning and machine learning. This paper presents a comprehensive overview of data augmentation techniques in time series analysis, with a specific focus on their applications within deep learning and machine learning. We commence with a systematic… Read full abstract & cite →

Time series data augmentation machine learning deep learning synthetic data generation

Abstract doi.org/10.14569/IJACSA.2024.01501118 PDF

119

Utilizing UAV Data for Neural Network-based Classification of Melon Leaf Diseases in Smart Agriculture

Author 1: Siti Nur Aisyah Mohd Robi Author 2: Norulhusna Ahmad Author 3: Mohd Azri Mohd Izhar Author 4: Hazilah Mad Kaidi Author 5: Norliza Mohd Noor

Integrating unmanned aerial vehicle (UAV) technology with plant disease detection is a significant advancement in agricultural surveillance, marking the beginning of a transformational era characterised by innovation. Traditionally, farmers have had to rely on manual visual inspections to identify melon leaf diseases, which proves to be a time-consuming and costly… Read full abstract & cite →

Smart agriculture plant disease melon leaf disease image processing neural network UAV

Abstract doi.org/10.14569/IJACSA.2024.01501119 PDF

120

Guiding 3D Digital Content Generation with Pre-Trained Diffusion Models

Author 1: Jing Li Author 2: Zhengping Li Author 3: Peizhe Jiang Author 4: Lijun Wang Author 5: Xiaoxue Li Author 6: Yuwen Hao

The production technology of 3D digital content involves multiple stages, including 3D modeling, simulation animation, visualization rendering, and perceptual interaction. It is not only the core technology supporting the creation of 3D digital content but also a key element in enhancing immersive application experiences in virtual reality and the metaverse… Read full abstract & cite →

3D Digital content computer vision artificial intelligence diffusion models 3D representation

Abstract doi.org/10.14569/IJACSA.2024.01501120 PDF

121

A Robust Deep Learning Model for Terrain Slope Estimation

Author 1: Abdulaziz Alorf

Interest in autonomous robots has grown significantly in recent years, motivated by the many advances in computational power and artificial intelligence. Space probes landing on extra-terrestrial celestial bodies, as well as vertical take-off and landing on unknown terrains, are two examples of high levels of autonomy being pursued. These robots… Read full abstract & cite →

Terrain slope estimation spacecrafts robotics artificial intelligence machine learning techniques deep neural network computer vision

Abstract doi.org/10.14569/IJACSA.2024.01501121 PDF

122

Transformative Automation: AI in Scientific Literature Reviews

Author 1: Kirtirajsinh Zala Author 2: Biswaranjan Acharya Author 3: Madhav Mashru Author 4: Damodharan Palaniappan Author 5: Vassilis C. Gerogiannis Author 6: Andreas Kanavos Author 7: Ioannis Karamitsos

This paper investigates the integration of Artificial Intelligence (AI) into systematic literature reviews (SLRs), aiming to address the challenges associated with the manual review process. SLRs, a crucial aspect of scholarly research, often prove time-consuming and prone to errors. In response, this work explores the application of AI techniques, including… Read full abstract & cite →

Artificial intelligence systematic literature review scholarly data analysis machine learning algorithms natural language processing scientific publication automation

Abstract doi.org/10.14569/IJACSA.2024.01501122 PDF

123

Reciprocal Bucketization (RB) - An Efficient Data Anonymization Model for Smart Hospital Data Publishing

Author 1: Rajesh S M Author 2: Prabha R

With the lightning growth of the Internet of Things (IoT), enormous applications have been developed to serve industries, the environment, society, etc. Smart Health care is one of the significant applications of the IoT, where intelligent environments enrich safety and ease of surveillance. The database of the Smart Hospital records… Read full abstract & cite →

Anatomization anonymization entropy pearson’s contingency coefficient and KL – Divergence

Abstract doi.org/10.14569/IJACSA.2024.01501123 PDF

124

Machine Learning in Malware Analysis: Current Trends and Future Directions

Author 1: Safa Altaha Author 2: Khaled Riad

Malware analysis is a critical component of cyber-security due to the increasing sophistication and the widespread of malicious software. Machine learning is highly significant in malware analysis because it can process huge amounts of data, identify complex patterns, and adjust to changing threats. This paper provides a comprehensive overview of… Read full abstract & cite →

Malware malware analysis machine learning deep learning transfer learning

Abstract doi.org/10.14569/IJACSA.2024.01501124 PDF

125

Towards a Continuous Temporal Improvement Approach for Real-Time Business Processes

Author 1: Asma Ouarhim Author 2: Karim Baina Author 3: Brahim Elbhiri

Time is relative, which makes the interaction so sensitive. Indeed, contemplating the concept of real-time enterprises resembled envisioning an idealized notion that seemed unattainable and impracticable in reality. Consequently, we give a new definition of the real-time concept according to our needs and targets for a successful business process. According… Read full abstract & cite →

Real-time business process real-time enterprises temporal latency process validation continuous improvement approach

Abstract doi.org/10.14569/IJACSA.2024.01501125 PDF

126

Modern Education: Advanced Prediction Techniques for Student Achievement Data

Author 1: Xi LU

Enhancing educational outcomes across varied institutions like universities, schools, and training centers necessitates accurately predicting student performance. These systems aggregates the data from multiple sources—exam centers, virtual courses, registration departments, and e-learning platforms. Analyzing this complex and diverse educational data is a challenge, thus necessitating the application of machine learning… Read full abstract & cite →

Student performance classification decision tree classification fox optimization black widow optimization

Abstract doi.org/10.14569/IJACSA.2024.01501126 PDF