IJACSA Vol. 14 Issue 10 (2023)

1

Human Coach Technology Reactance Factors and their Influence on End-Users' Acceptance of e-Health Applications

Author 1: Sarah Janböcke Author 2: Toshimi Ogawa Author 3: Johanna Langendorf Author 4: Koki Kobayashi Author 5: Ryan Browne Author 6: Rainer Wieching Author 7: Yasuyuki Taki

Project e-VITA is a joined research force from Europe and Japan that examines various cutting-edge e-health applications for older adult care. Those specific users do not necessarily feel technology savvy or secure enough to open up for innovative home tech systems. Thus, it is essential to provide the support that… Read full abstract & cite →

Technology acceptance technology reactance human-machine-interface technology mediator technology leverage human coach digital health e-health virtual coach active aging healthy aging healthcare information technology introduction

Abstract doi.org/10.14569/IJACSA.2023.0141001 PDF

2

Multispectral Image Analysis using Convolution Neural Networks

Author 1: Arun D. Kulkarni

Machine learning (ML) techniques are used often to classify pixels in multispectral images. Recently, there is growing interest in using Convolution Neural Networks (CNNs) for classifying multispectral images. CNNs are preferred because of high performance, advances in hardware such as graphical processing units (GPUs), and availability of several CNN architectures… Read full abstract & cite →

Convolution neural networks machine learning multispectral images remote sensing

Abstract doi.org/10.14569/IJACSA.2023.0141002 PDF

3

Comparison of Four Demosaicing Methods for Facial Recognition Algorithms

Author 1: M. Eléonore Elvire HOUSSOU Author 2: A. Tidjani SANDA MAHAMA Author 3: Pierre GOUTON Author 4: Guy DEGLA

Multispectral imaging has become more important in several areas during this decade to overcome the limitations of color imaging. There are several types of multispectral acquisition systems, including single-shot cameras that incorporate Multispectral Filter Arrays (MSFA). MSFA is an extension of the color filter array. Acquisition systems that incorporate spectral… Read full abstract & cite →

Multispectral image database multispectral imaging multispectral filter array (MSFA) one-shot camera facial recognition system

Abstract doi.org/10.14569/IJACSA.2023.0141003 PDF

4

An Artificial Intelligence Method for Automatic Assessment of Fuzzy Semantics in English Literature

Author 1: Meiyan LI

This Online writing and evaluation are becoming increasingly popular, as is automatic literature assessment. The most popular way is to obtain a good evaluation of the essay and article is by the automatic scoring model. However, assessing fuzzy semantics contained in reports and papers takes much work. An automated essay… Read full abstract & cite →

Automatic assessment recurrent neural networks long short-term memory (LSTM) quadratic weighted kappa (QWK) convolutional layer

Abstract doi.org/10.14569/IJACSA.2023.0141004 PDF

5

Application of Image Style Transfer Based on Normalized Residual Network in Art Design

Author 1: Jing Pu Author 2: Yuke Li

With the development of computer vision technology, image style transfer technology based on deep learning has achieved vigorous development. It has been widely applied in fields such as art design, painting creation, and film and television effect production. However, existing image style transfer methods still have shortcomings, including low efficiency… Read full abstract & cite →

CNN residual network normalization image segmentation transfer art and design

Abstract doi.org/10.14569/IJACSA.2023.0141005 PDF

6

Establishment and Optimization of Video Analysis System in Metaverse Environment

Author 1: Dandan WANG Author 2: Tianci Zhang

The current source space communication architecture has not changed. At present, the key technology of so-called metaverse media only applies its elements to existing communication architectures, and more importantly, this type of integration involves individual examples and promotional marketing methods. How to become a new growth point for the deep… Read full abstract & cite →

Artificial intelligence metaverse video perception big data

Abstract doi.org/10.14569/IJACSA.2023.0141006 PDF

7

An Evaluation Method of English Composition Automatic Grading Based on Genetic Optimization Algorithm and CNN Model

Author 1: Li Wang

In response to the problems of traditional genetic algorithms in evaluating English compositions, the stability of automatic grading of English compositions has been further enhanced. This article evaluates the teaching effectiveness of automatic grading of English compositions using an optimization fusion algorithm combined with genetic optimization algorithm and CNN model… Read full abstract & cite →

Genetic optimization algorithm CNN model English composition Automatic scoring Teaching effect

Abstract doi.org/10.14569/IJACSA.2023.0141007 PDF

8

Construction of Sports Culture Recommendation Model Combining Big Data Technology and Video Semantic Comprehension

Author 1: Bin Xie Author 2: Fuye Zhang

Information blast makes it harder for clients to channel the substance they are keen on. This study aims to combine big data and video semantic comprehension technology to realize the recommendation of sports culture videos by exploring the semantics of video and taking advantage of multi-source heterogeneous information. The semantic… Read full abstract & cite →

Big data video semantic comprehension sports culture semantic sequences convolutional neural networks (CNN)

Abstract doi.org/10.14569/IJACSA.2023.0141008 PDF

9

Immersive Virtual Reality: A New Dimension in Physiotherapy

Author 1: Siok Yee Tan Author 2: Meng Chun Lam Author 3: Joshua Faburada Author 4: Monirul Islam Pavel

Physiotherapy treatments often necessitate patients to perform exercises at home as part of their rehabilitation regimen. However, outside the clinic, patients are often left with inadequate guidance, typically provided in the form of static images or sketches on paper. The ongoing COVID-19 pandemic has further disrupted the ability for patients… Read full abstract & cite →

Android COVID-19 physiotherapy virtual reality

Abstract doi.org/10.14569/IJACSA.2023.0141009 PDF

10

Ensembling of Attention-based Recurrent Units for Detection and Mitigation of Multiple Attacks in Cloud

Author 1: Kalaivani M Author 2: Padmavathi G

In the recent years, number of threats to network security increases exponentially as the Internet users which poses serious threat in cloud storage application. Detection and defending against the multiple threats are currently a hot topic in industry and considered as one of the challenging research in academia. Many methodologies… Read full abstract & cite →

Multiple threats deep learning algorithm attention enabled gated recurrent networks NSL-KDD UNSW CIDC-001

Abstract doi.org/10.14569/IJACSA.2023.0141010 PDF

11

An Efficient Method for Implementing Applications of Smart Devices Based on Mobile Fog Processing in a Secure Environment

Author 1: Huaibao Ding Author 2: Xiaomei Ding Author 3: Fang Xia Author 4: Fei Zhou

Smart technology and the Internet of Things (IoT) are advancing and growing daily in the modern world. The demand for solutions to execute complex applications and protect user security and privacy increases as the number of smart devices in our surroundings increases. Mobile fog processing aids us in this situation… Read full abstract & cite →

Cloud environment IoT real-time systems smart devices mobile fog energy consumption

Abstract doi.org/10.14569/IJACSA.2023.0141011 PDF

12

Automatic Configuration of Deep Learning Algorithms for an Arabic Named Entity Recognition System

Author 1: AZROUMAHLI Chaimae Author 2: MOUHIB Ibtihal Author 3: El YOUNOUSSI Yacine Author 4: BADIR Hassan

Word embedding models have been widely used by many researchers to extract linguistic features for Natural Language Processing (NLP) tasks. However, the creation of an adequate Word embedding model depends on choosing the right language model method and architecture, in addition to finetuning the various parameters of the language model… Read full abstract & cite →

Algorithm automatic configuration natural language processing named entity recognition word embeddings finetuning irace

Abstract doi.org/10.14569/IJACSA.2023.0141012 PDF

13

Greenhouse Horticulture Automation with Crops Protection by using Arduino

Author 1: Jamil Abedalrahim Jamil Alsayaydeh Author 2: Mohd Faizal bin Yusof Author 3: Chee Kai Hern Author 4: Mohd Riduan AHMAD Author 5: Vadym Shkarupylo Author 6: Safarudin Gazali Herawan

Agriculture significantly contributes to economic growth, generating employment opportunity also simulating the small-scale agriculture experiences. However, unforeseeable weather patterns, natural disasters, and unwelcome intruders are significant threat which brings severe financial losses for the owner. To overcome these challenges, this study aims to develop IoT-based automation greenhouse integrated with intrusion… Read full abstract & cite →

IoT-based automation greenhouse intrusion detection and prevention real-time monitoring

Abstract doi.org/10.14569/IJACSA.2023.0141013 PDF

14

Reinforcement Learning-based Answer Selection with Class Imbalance Handling and Efficient Differential Evolution Initialization

Author 1: Jia Wei

Answer selection (AS) involves the task of selecting the best answer from a given list of potential options. Current methods commonly approach the AS problem as a binary classification task, using pairs of positive and negative samples. However, the number of negative samples is usually much larger than the positive… Read full abstract & cite →

Answer selection imbalanced classification reinforcement learning DistilBERT differential evolution

Abstract doi.org/10.14569/IJACSA.2023.0141014 PDF

15

Evaluation Method of Physical Education Students' Mental Health based on Multi-source and Heterogeneous Data

Author 1: YongCheng WU

To enhance the ability to evaluate the mental health status of physical education students, a method of evaluating the mental well-being state of physical education students based on multi-source heterogeneous data mining is proposed. A fuzzy information detection model of multi-source heterogeneous data on the mental health status of physical… Read full abstract & cite →

Multi-source heterogeneous data sports major students mental health assess the situation confidence level linear regression analysis

Abstract doi.org/10.14569/IJACSA.2023.0141015 PDF

16

Systematic Review of Rubric Ontology in Higher Education

Author 1: Noor Maizura Mohamad Noor Author 2: Nur Fadila Akma Mamat Author 3: Rosmayati Mohemad Author 4: Noor Azliza Che Mat

Assessing students is a common practice in educational settings. Students will be evaluated using several methods or tools to determine how well they have acquired knowledge or progressed. There are two distinct types of assessment is summative and formative. Rubrics are used to evaluate student performance. However, the development of… Read full abstract & cite →

Assessment higher education learning outcomes Malaysia Qualification Framework (MQF) ontology rubric

Abstract doi.org/10.14569/IJACSA.2023.0141016 PDF

17

A Prediction of South African Public Twitter Opinion using a Hybrid Sentiment Analysis Approach

Author 1: Matthew Brett Shackleford Author 2: Timothy Temitope Adeliyi Author 3: Seena Joseph

Sentiment analysis, a subfield of Natural Language Processing, has garnered a great deal of attention within the research community. To date, numerous sentiment analysis approaches have been adopted and developed by researchers to suit a variety of application scenarios. This consistent adaptation has allowed for the optimal extraction of the… Read full abstract & cite →

Sentiment analysis opinion mining machine learning government public service delivery twitter

Abstract doi.org/10.14569/IJACSA.2023.0141017 PDF

18

Analysis of Depression in News Articles Before and After the COVID-19 Pandemic Based on Unsupervised Learning and Latent Dirichlet Allocation Topic Modeling

Author 1: Seonjae Been Author 2: Haewon Byeon

As of 2023, South Korea maintains the highest suicide rate among OECD countries, accompanied by a notably high prevalence of depression. The onset of the COVID-19 pandemic in 2020 further exacerbated the prevalence of depression, attributed to shifts in lifestyle and societal factors. In this research, differences in depression-related keywords… Read full abstract & cite →

COVID-19 depression news articles LDA topic modeling

Abstract doi.org/10.14569/IJACSA.2023.0141018 PDF

19

Construction of an Intelligent Robot Path Recognition System Supported by Deep Learning Network Algorithms

Author 1: Jiong Chen

In recent years, intelligent robots have been widely used in fields such as express transportation, industrial automation, and healthcare, bringing great convenience to people's lives. As one of the core technologies of intelligent robots, path planning technology has become a research highlight in the field of robotics. To achieve path… Read full abstract & cite →

Deep learning reinforcement learning intelligent robots path planning

Abstract doi.org/10.14569/IJACSA.2023.0141019 PDF

20

Harnessing Ensemble in Machine Learning for Accurate Early Prediction and Prevention of Heart Disease

Author 1: Mohammad Husain Author 2: Pankaj Kumar Author 3: Mohammad Nadeem Ahmed Author 4: Arshad Ali Author 5: Mohammad Ashiquee Rasool Author 6: Mohammad Rashid Hussain Author 7: Muhammad Shahid Dildar

Cardiovascular diseases (CVDs) remain a significant global health concern, demanding precise and early prediction methods for effective intervention. In this comprehensive study, various machine learning algorithms were rigorously evaluated to identify the most accurate approach for forecasting heart disease. Through meticulous analysis, it was established that precision, recall, and the… Read full abstract & cite →

Heart disease machine learning predictive modeling cardiovascular disorders medical diagnosis feature selection model evaluation public health

Abstract doi.org/10.14569/IJACSA.2023.0141020 PDF

21

Virtual Reality in Training: A Case Study on Investigating Immersive Training for Prisoners

Author 1: Abdulaziz Alshaer

This study addresses the pressing issue of prison rehabilitation by comparing traditional and Virtual Reality (VR) based training services offered by the General Directorate of Prisons in Saudi Arabia. Utilising Technology Acceptance Model (TAM) metrics such as perceived usefulness, ease of use, and enjoyment, the study evaluates the acceptance of… Read full abstract & cite →

Component virtual reality correctional services technology acceptance rehabilitation

Abstract doi.org/10.14569/IJACSA.2023.0141021 PDF

22

Benchmarking the LGBM, Random Forest, and XGBoost Models Based on Accuracy in Classifying Melon Leaf Disease

Author 1: Chaerur Rozikin Author 2: Agus Buono Author 3: Sri Wahjuni Author 4: Chusnul Arif Author 5: Widodo

Leaf diseases in melon plants cause losses for melon farmers. However, melon plants become less productive or even die. Downy mildew is a foliar disease that spreads rapidly in melon plants. Determining the level of downy mildew in melon leaves is important. Determining the level of downy mildew disease, farmers… Read full abstract & cite →

Classification Downy mildew LGBM disease level melon leaves

Abstract doi.org/10.14569/IJACSA.2023.0141022 PDF

23

A Vision-based Human Posture Detection Approach for Smart Home Applications

Author 1: Yangxia Shu Author 2: Lei Hu

Effective posture identification in smart home applications is a challenging topic for people to tackle in order to decrease the occurrence of improper postures. Vision-based posture identification has been used to construct a system for identifying people's postures. However, the system complexity, low accuracy rate, and slow identification speed of… Read full abstract & cite →

Posture identification smart home applications vision-based recognition YOLO network accuracy

Abstract doi.org/10.14569/IJACSA.2023.0141023 PDF

24

Object Detectors in Autonomous Vehicles: Analysis of Deep Learning Techniques

Author 1: Lei Du

Autonomous vehicles have emerged as a transformative technology with wide-ranging implications for smart cities, revolutionizing transportation systems and optimizing urban mobility. Object detection plays a crucial role in autonomous vehicles, accurately identifying and localizing pedestrians, vehicles, and traffic signs for safe navigation. Deep learning-based approaches have revolutionized object detection, leveraging… Read full abstract & cite →

Autonomous vehicles object detection deep learning two-stage object detectors one-stage object detectors comprehensive analysis

Abstract doi.org/10.14569/IJACSA.2023.0141024 PDF

25

A Survey of Structural Health Monitoring Advances Based on Internet of Things (IoT) Sensors

Author 1: Hao DENG Author 2: JianHua CHEN

Structural Health Monitoring (SHM) is a technique that ensures the safety and reliability of structures through continuous and real-time monitoring. IoT-based sensors have become a popular solution for implementing SHM systems, and research in this area is essential for improving the accuracy and reliability of SHM systems. A review of… Read full abstract & cite →

Structural health monitoring civil structures internet of things sensors survey

Abstract doi.org/10.14569/IJACSA.2023.0141025 PDF

26

Whale Optimization Algorithm for Energy-Efficient Task Allocation in the Internet of Things

Author 1: Shan YANG Author 2: Renping YU Author 3: Xin JIN

The Internet of Things (IoT) represents a new paradigm where various physical devices interact and collaborate to achieve common goals. This technology encompasses sensors, mobile phones, actuators, and other smart devices that work together to perform tasks and applications. In order to ensure optimal performance of these tasks and applications… Read full abstract & cite →

Task allocation internet of things energy efficiency optimization whale optimization algorithm

Abstract doi.org/10.14569/IJACSA.2023.0141026 PDF

27

An Optimized Deep Learning Method for Video Summarization Based on the User Object of Interest

Author 1: Hafiz Burhan Ul Haq Author 2: Watcharapan Suwansantisuk Author 3: Kosin Chamnongthai

Surveillance video is now able to play a vital role in maintaining security and protection thanks to the advancement of digital video technology. Businesses, both private and public, employ surveillance systems to monitor and track their daily operations. As a result, video generates a significant volume of data that needs… Read full abstract & cite →

Video summarization deep learning user object of interest surveillance systems SumMe

Abstract doi.org/10.14569/IJACSA.2023.0141027 PDF

28

Enhanced System for Computer-Aided Detection of MRI Brain Tumors

Author 1: Abdullah Alhothali Author 2: Ali Samkari Author 3: Umar S. Alqasemi

The categorization of brain images into normal or abnormal categories is a critical task in medical imaging analysis. In this research, we propose a software solution that automatically classifies MRI brain scans as normal or abnormal, specifically focusing on glioblastoma as an abnormal condition. The software utilizes first-order statistical features… Read full abstract & cite →

Computer-aided detection MRI brain tumor MATLAB machine learning support vector machine KNN

Abstract doi.org/10.14569/IJACSA.2023.0141028 PDF

29

Entanglement Classification for Three-qubit Pure Quantum System using Special Linear Group under the SLOCC Protocol

Author 1: Amirul Asyraf Zhahir Author 2: Siti Munirah Mohd Author 3: Mohd Ilias M Shuhud Author 4: Bahari Idrus Author 5: Hishamuddin Zainuddin Author 6: Nurhidaya Mohamad Jan Author 7: Mohamed Ridza Wahiddin

Quantum technology has been introduced in the IR 4.0, breeding a new era of advanced technology revolutionizing the future. Hence, understanding the key resources of quantum technology, quantum entanglement is vital. Growing interests in quantum technologies has raised comprehensive studies of quantum entanglement, especially on the entanglement classification. Special Linear… Read full abstract & cite →

Quantum entanglement entanglement classification three-qubit quantum system special linear group SL(2) stochastic local operations and classical communication SLOCC

Abstract doi.org/10.14569/IJACSA.2023.0141029 PDF

30

Dance Motion Detection Algorithm Based on Computer Vision

Author 1: Yan Wang Author 2: Zhiguo Wu

Human posture recognition is an essential link in the development of human-computer interaction. Currently, the existing dance movement training methods often require students to constantly watch videos or find a tutor to correct them during practice to achieve good results, which not only takes a lot of time and energy… Read full abstract & cite →

Dance motion detection computer vision human posture recognition Kinect 3D sensor

Abstract doi.org/10.14569/IJACSA.2023.0141030 PDF

31

Seamless Data Exchange: Advancing Healthcare with Cross-Chain Interoperability in Blockchain for Electronic Health Records

Author 1: Reval Prabhu Puneeth Author 2: Govindaswamy Parthasarathy

The rapid digitization of healthcare records has led to the accumulation of vast amounts of sensitive patient data, stored across various systems and platforms. To ensure the secure and efficient exchange of Electronic Health Records (EHRs) among healthcare providers, researchers, and patients themselves, the concept of cross-chain interoperability within blockchain… Read full abstract & cite →

Electronic health records data sharing scheme blockchain technology solidity smart contract cross-chain interoperability

Abstract doi.org/10.14569/IJACSA.2023.0141031 PDF

32

A Comparison of Sampling Methods for Dealing with Imbalanced Wearable Sensor Data in Human Activity Recognition using Deep Learning

Author 1: Mariam El Ghazi Author 2: Noura Aknin

Human Activity Recognition (HAR) holds significant implications across diverse domains, including healthcare, sports analytics, and human-computer interaction. Deep learning models demonstrate great potential in HAR, but performance is often hindered by imbalanced datasets. This study investigates the impact of class imbalance on deep learning models in HAR and conducts a… Read full abstract & cite →

Human activity recognition (HAR) class imbalance sampling methods wearable sensors deep learning synthetic minority over-sampling technique (SMOTE) random undersampling PAMAP2 dataset bayesian optimization

Abstract doi.org/10.14569/IJACSA.2023.0141032 PDF

33

Design of an Advanced Distributed Adaptive Control for Multi-SMA Actuators

Author 1: Belkacem Kada Author 2: Khalid A. Juhany Author 3: Ibraheem Al-Qadi Author 4: Mostefa Bourchak

Aerospace applications place high demands on designing Shape Memory Alloy (SMA) actuators, including accuracy, dependability, high-performance criteria, and cooperative activation. Because of their portability, durability, and performance under extreme conditions, SMAs have found a home in the aerospace industry as single and array actuators. This paper presents the development of… Read full abstract & cite →

Adaptive backstepping hysteresis I&I control L2-gain control rotary actuator shape memory alloy

Abstract doi.org/10.14569/IJACSA.2023.0141033 PDF

34

Dimensionality Reduction with Truncated Singular Value Decomposition and K-Nearest Neighbors Regression for Indoor Localization

Author 1: Hang Duong Thi Author 2: Kha Hoang Manh Author 3: Vu Trinh Anh Author 4: Trang Pham Thi Quynh Author 5: Tuyen Nguyen Viet

Indoor localization presents formidable challenges across diverse sectors, encompassing indoor navigation and asset tracking. In this study, we introduce an inventive indoor localization methodology that combines Truncated Singular Value Decomposition (Truncated SVD) for dimensionality reduction with the K-Nearest Neighbors Regressor (KNN Regression) for precise position prediction. The central objective of… Read full abstract & cite →

Dimensionality Reduction Indoor Positioning System KNN regression Truncated Singular Value Decomposition

Abstract doi.org/10.14569/IJACSA.2023.0141034 PDF

35

Text Simplification using Hybrid Semantic Compression and Support Vector Machine for Troll Threat Sentences

Author 1: Juhaida Abu Bakar Author 2: Nooraini Yusoff Author 3: Nor Hazlyna Harun Author 4: Maslinda Mohd Nadzir Author 5: Salehah Omar

Text Simplification (TS) is an emerging field in Natural Language Processing (NLP) that aims to make complex text more accessible. However, there is limited research on TS in the Malay language, known as Bahasa Malaysia, which is widely spoken in Southeast Asia. The challenges in this domain revolve around data… Read full abstract & cite →

Text simplification semantic compression machine learning natural language processing cyber bullying

Abstract doi.org/10.14569/IJACSA.2023.0141035 PDF

36

A Reduced Feature-Set OCR System to Recognize Handwritten Tamil Characters using SURF Local Descriptor

Author 1: Ashlin Deepa R N Author 2: S. Sankara Narayanan Author 3: Adithya Padthe Author 4: Manjula Ramannavar

High dimensionality in variable-length feature sets of real datasets negatively impacts the classification accuracy of traditional classifiers. Convolutional Neural Networks (CNNs) with convolution filters have been widely used for handling the classification of high-dimensional image datasets. However, these models require massive amounts of high-dimensional training data, posing a challenge for… Read full abstract & cite →

Image processing feature extraction Convolutional Neural Networks SURF handwritten character recognition optical character recognition system

Abstract doi.org/10.14569/IJACSA.2023.0141036 PDF

37

Recyclable Waste Classification using SquezeeNet and XGBoost

Author 1: Intan Nurma Yulita Author 2: Firman Ardiansyah Author 3: Anton Satria Prabuwono Author 4: Muhammad Rasyid Ramdhani Author 5: Mokhamad Arfan Wicaksono Author 6: Agus Trisanto Author 7: Asep Sholahuddin

The unregulated buildup of waste results in the occurrence of flames. This phenomenon poses a substantial threat to both the ecological system and human welfare. To tackle this problem, the current study proposes the implementation of Machine Learning technology to automate the sorting of waste. The methodology being examined incorporates… Read full abstract & cite →

Garbage classification image machine learning SqueezeNet XGBoost

Abstract doi.org/10.14569/IJACSA.2023.0141037 PDF

38

An IoT-based Smart Plug Energy Monitoring System

Author 1: Lamya Albraheem Author 2: Haifa Alajlan Author 3: Najoud aljenedal Author 4: Lenah Abo Alkhair Author 5: Sarab Bin Gwead

Over the years, considerable efforts have been made to maintain electricity. However, there is still a significant need to explore new technologies and solutions conserve and enhance electricity supply. This project discusses research studies and applications conducted in the field of energy control, including a comparison of these applications undertaken… Read full abstract & cite →

Internet of things IoT smart plugs electricity energy consumption

Abstract doi.org/10.14569/IJACSA.2023.0141038 PDF

39

Implementation of a Web System with Chatbot Service for Sales Management - A Review

Author 1: Jorge Barrantes-Saucedo Author 2: Cristian García-Leandro Author 3: Orlando Iparraguirre-Villanueva Author 4: Rosalynn Ornella Flores-Castañeda

The objective of the research was to analyze various researches about web systems with chatbot service in the sales management process between the years 2018-2022, employing four databases, such as: Science Direct, Taylor & Francis, IEEE Xplore and Springer. The PRISMA methodology was applied, selecting 60 manuscripts where the year… Read full abstract & cite →

Web system chatbot chatbot service sales management sales automation

Abstract doi.org/10.14569/IJACSA.2023.0141039 PDF

40

Deep Learning Driven Web Security: Detecting and Preventing Explicit Content

Author 1: Ganeshayya Shidaganti Author 2: Shubeeksh Kumaran Author 3: Vishwachetan D Author 4: Tejas B N Shetty

In today's digital age, the vast expanse of online content has made it increasingly accessible for users to encounter inappropriate text, images and videos. The repercussions of such exposure are concerning, impacting individuals and society adversely. Exposure to violent content can lead to undesirable human emotions, including desensitization, aggression, and… Read full abstract & cite →

Web safety machine learning cloud computing natural language processing web-scraping big data

Abstract doi.org/10.14569/IJACSA.2023.0141040 PDF

41

Detection of Autism Spectrum Disorder (ASD) from Natural Language Text using BERT and ChatGPT Models

Author 1: Prasenjit Mukherjee Author 2: Gokul R. S Author 3: Sourav Sadhukhan Author 4: Manish Godse Author 5: Baisakhi Chakraborty

ASD may be caused by a combination of genetic and environmental factors, including gene mutations and exposure to toxins. People with ASD may also have trouble forming social relationships, have difficulty with communication and language, and struggle with sensory sensitivity. These difficulties can range from mild to severe and can… Read full abstract & cite →

BERT model ChatGPT model autism machine learning generative AI autism detection

Abstract doi.org/10.14569/IJACSA.2023.0141041 PDF

42

Optimizing Power Management in Distribution Networks: A Mathematical Modeling Approach for Coordinated Directional Over-Current Relay Control

Author 1: Simardeep Kaur Author 2: Shimpy Ralhan Author 3: Mangal Singh Author 4: Mahesh Singh

Optimizing Power Management in Distribution Networks through Coordination of Directional Over-Current Relays summarizes a study or project focused on enhancing the management of power in distribution networks by optimizing the coordination of directional over-current relays. Directional over-current relays are critical components of power distribution systems, designed to safeguard the network… Read full abstract & cite →

Optimization Cuckoo Search Algorithm (CSA) Fire-Fly Algorithm (FFA) Harmony Search Algorithm (HSA) Jaya algorithm directional over-current relays

Abstract doi.org/10.14569/IJACSA.2023.0141042 PDF

43

Implementation of the REST API Model using QR Codes on Mobile Devices to Order Parking Tickets

Author 1: Mauluddini Amras Author 2: Erwin Yulianto Author 3: Deshinta Arrova Dewi Author 4: Awan Setiawan

Many parking lots are still operate manually, and delays are commonly caused during the parking process when unforeseen events occur, such as when the parking ticket paper runs out or the ticket machines jam. New services are added to the parking system online with the aim of decreasing the amount… Read full abstract & cite →

Representational state transfer application programming interface (REST API) online parking ticket quick response code (QR Code) smart city public transport

Abstract doi.org/10.14569/IJACSA.2023.0141043 PDF

44

Design of Distributed Cooperative Control for Multi-Missile System to Track Maneuvering Targets

Author 1: Belkacem Kada Author 2: Khalid A. Juhany Author 3: Ibraheem Al-Qadi Author 4: Mostefa Bourchak

The current paper provides unique smooth control methods for constructing resilient nonlinear autopilot systems and cooperative control protocols for single and multi-missile systems. To develop the single autopilots, a high-order framework based on asymptotic output stability principles and local relative degree for nonlinear affine systems is first applied. Then, using… Read full abstract & cite →

Multi-missile cooperative control missile autopilot smooth control high-order sliding mode target tracking

Abstract doi.org/10.14569/IJACSA.2023.0141044 PDF

45

Cyberbullying Detection using Machine Learning and Deep Learning

Author 1: Aljwharah Alabdulwahab Author 2: Mohd Anul Haq Author 3: Mohammed Alshehri

With the human passion for gaining knowledge, learning new things and knowing the news that surrounds the world, social networks were invented to serve the human need, which resulted in the rapid spread and use among people, but social networks have a dark and bright side. The dark side is… Read full abstract & cite →

Cyberbullying detection machine learning deep learning natural language processing (NLP) feature extraction CNN

Abstract doi.org/10.14569/IJACSA.2023.0141045 PDF

46

Modified Deep Neural Network for Object Recognition

Author 1: Dulari Bhatt Author 2: Chirag Patel Author 3: Madhuri Chopade Author 4: Madhvi Dave Author 5: Chintan Patel

Object recognition has gained significance due to the rise in CCTV surveillance and the need for automated detection of objects or activities in images and videos. Lightweight process frameworks are in demand for sensor networks. While Convolutional Neural Networks (CNNs) are widely used in computer vision, many existing architectures are… Read full abstract & cite →

Convolutional Neural Network (CNN) depth-wise separable convolution dimension-based generic convolution unit (DBGC) CNN architecture

Abstract doi.org/10.14569/IJACSA.2023.0141046 PDF

47

HHO-SMOTe: Efficient Sampling Rate for Synthetic Minority Oversampling Technique Based on Harris Hawk Optimization

Author 1: Khaled SH. Raslan Author 2: Almohammady S. Alsharkawy Author 3: K. R. Raslan

Classifying imbalanced datasets presents a significant challenge in the field of machine learning, especially with big data, where instances are unevenly distributed among classes, leading to class imbalance issues that affect classifier performance. Synthetic Minority Over-sampling Technique (SMOTE) is an effective oversampling method that addresses this by generating new instances… Read full abstract & cite →

Imbalanced data machine learning over-sampling SMOTE HHO

Abstract doi.org/10.14569/IJACSA.2023.0141047 PDF

48

A Multitask Learning System for Trait-based Automated Short Answer Scoring

Author 1: Dadi Ramesh Author 2: Suresh Kumar Sanampudi

Evaluating students' responses and providing feedback in the education system is widely acknowledged. However, while most research on Automated Essay Scoring (AES) has focused on generating a final score for given responses, only a few studies have attempted to generate feedback. These studies often rely on statistical features and fail… Read full abstract & cite →

Sentence embedding coherence LSTM short answer scoring trait score

Abstract doi.org/10.14569/IJACSA.2023.0141048 PDF

49

Applications of Missing Data Imputation Methods in Wastewater Treatment Plants

Author 1: Abdellah Chaoui Author 2: Kaoutar Rebija Author 3: Kaoutar Chkaiti Author 4: Mohammed Laaouan Author 5: Rqia Bourziza Author 6: Karima Sebari Author 7: Wafae Elkhoumsi

Missing data pose a big challenge in the field of wastewater treatment, representing a frequent issue in data quality that can result in misleading analyses and compromised decision-making accuracy. The initial step in data preprocessing involves the estimation and handling of missing values. The primary aim to conduct a comprehensive… Read full abstract & cite →

Systematic literature review kitchenham’ method wastewater treatment imputation methods missing data

Abstract doi.org/10.14569/IJACSA.2023.0141049 PDF

50

Using Ensemble Learning and Advanced Data Mining Techniques to Improve the Diagnosis of Chronic Kidney Disease

Author 1: Muneer Majid Author 2: Yonis Gulzar Author 3: Shahnawaz Ayoub Author 4: Farhana Khan Author 5: Faheem Ahmad Reegu Author 6: Mohammad Shuaib Mir Author 7: Wassim Jaziri Author 8: Arjumand Bano Soomro

Kidney failure is a condition with far-reaching, potentially life-threatening consequences on the human body. Leveraging the power of machine learning and data mining, this research focuses on precise disease prediction to equip decision-makers with critical data-driven insights. The accuracy of classification systems hinges on the dataset's inherent characteristics, prompting the… Read full abstract & cite →

Kidney chronic kidney disease support vector machine k-nearest neighbors artificial neural network decision tree

Abstract doi.org/10.14569/IJACSA.2023.0141050 PDF

51

AHP-based Design of a Finger Training Device for Stroke

Author 1: Hua Wei Author 2: Ding-Bang Luh Author 3: Xin Li Author 4: Hai-Xia Yan

This study aims to develop a stroke finger training device specifically for office hand scenes which exercises the small muscles of the fingertips and improves the hand strength of stroke patients. The device has a real-time recording function for muscle strength changes during finger muscle training and enhances interaction through… Read full abstract & cite →

Stroke rehabilitation training equipment finger muscle strength AHP specific finger actions

Abstract doi.org/10.14569/IJACSA.2023.0141051 PDF

52

A Blockchain-based Method Ensuring Integrity of Shared Data in a Distributed-Control Intersection Network

Author 1: Mohamed El Ghazouani Author 2: Abdelouafi Ikidid Author 3: Charafeddine Ait Zaouiat Author 4: Aziz Layla Author 5: Mohamed Lachgar Author 6: Latifa Er-Rajy

In modern urban transportation systems, the efficient management of traffic intersections is crucial to ensure smooth traffic flow and reduce congestion. Distributed-control intersection networks, where control decisions are made collaboratively by multiple entities, offer promising solutions. However, maintaining the security and the integrity of shared data among these entities poses… Read full abstract & cite →

Security data integrity blockchain distributed system congestion intelligent agent

Abstract doi.org/10.14569/IJACSA.2023.0141052 PDF

53

Code-Mixed Sentiment Analysis using Transformer for Twitter Social Media Data

Author 1: Laksmita Widya Astuti Author 2: Yunita Sari Author 3: Suprapto

The underrepresentation of the Indonesian language in the field of Natural Language Processing (NLP) can be attributed to several key factors, including the absence of annotated datasets, limited language resources, and a lack of standardization in these resources. One notable linguistic phenomenon in Indonesia is code-mixing between Bahasa Indonesia and… Read full abstract & cite →

Sentiment analysis code-mixed BERT bahasa Indonesia

Abstract doi.org/10.14569/IJACSA.2023.0141053 PDF

54

Research on the Application of Random Forest-based Feature Selection Algorithm in Data Mining Experiments

Author 1: Huan Wang

Handling high-dimensional big data presents substantial challenges for Machine Learning (ML) algorithms, mainly due to the curse of dimensionality that leads to computational inefficiencies and increased risk of overfitting. Various dimensionality reduction and Feature Selection (FS) techniques have been developed to alleviate these challenges. Random Forest (RF), a widely-used Ensemble… Read full abstract & cite →

Random forest SVM machine learning big data feature selection best-first search rough set theory

Abstract doi.org/10.14569/IJACSA.2023.0141054 PDF

55

Fortifying Against Cyber Fraud: Instrument Development with the Protection Motivation Theory

Author 1: Norhasyimatul Naquiah Ghazali Author 2: Syahida Hassan Author 3: Rahayu Ahmad

Cybersecurity has become a trending topic in this technological era. Crimes keep happening in this medium and bring challenges for researchers and IT professionals worldwide to find the best solution to overcome this issue. Crimes primarily related to fraud on e-services have become a red alert that needs to be… Read full abstract & cite →

Cyber security cyber fraud e-services instrument development content validity Protection Motivation Theory (PMT)

Abstract doi.org/10.14569/IJACSA.2023.0141055 PDF

56

A Model for Pervasive Computing and Wearable Devices for Sustainable Healthcare Applications

Author 1: Deshinta Arrova Dewi Author 2: Rajermani Thinakan Author 3: Malathy Batumalay Author 4: Tri Basuki Kurniawan

The user’s demands in the system supported by the Internet of Things are frequently controlled effectively using the pervasive computing system. Pervasive computing is a term used to describe a system that integrates several communication and distributed network technologies. Even so, it properly accommodates user needs. It is quite difficult… Read full abstract & cite →

Internet of Things wearable devices pervasive computing sustainable healthcare healthcare applications public health health system

Abstract doi.org/10.14569/IJACSA.2023.0141056 PDF

57

Optimizing Hyperparameters for Improved Melanoma Classification using Metaheuristic Algorithm

Author 1: Shamsuddeen Adamu Author 2: Hitham Alhussian Author 3: Norshakirah Aziz Author 4: Said Jadid Abdulkadir Author 5: Ayed Alwadin Author 6: Abdullahi Abubakar Imam Author 7: Aliyu Garba Author 8: Yahaya Saidu

Melanoma, a prevalent and formidable skin cancer, necessitates early detection for improved survival rates. The rising incidence of melanoma poses significant challenges to healthcare systems worldwide. While deep neural networks offer the potential for precise melanoma classification, the optimization of hyperparameters remains a major obstacle. This paper introduces a groundbreaking… Read full abstract & cite →

Deep learning machine learning classification metaheuristic algorithm CNN

Abstract doi.org/10.14569/IJACSA.2023.0141057 PDF

58

Instance Segmentation Method based on R2SC-Yolact++

Author 1: Liqun Ma Author 2: Chuang Cai Author 3: Haonan Xie Author 4: Xuanxuan Fan Author 5: Zhijian Qu Author 6: Chongguang Ren

To address the problems of missed detection, segmentation error and poor target edge segmentation in the instance segmentation model, a R2SC-Yolact++ instance segmentation approach based on the improved Yolact++ is proposed. Firstly, the backbone network adopts Res2Net which introduces spatial attention mechanism (SAM) to improve the problem of segmentation error… Read full abstract & cite →

Instance segmentation Yolact++ Res2net Cluster-NMS insulator dataset

Abstract doi.org/10.14569/IJACSA.2023.0141058 PDF

59

Blockchain-Enabled Security Framework for Enhancing IoT Networks: A Two-Layer Approach

Author 1: Hosny H. Abo Emira Author 2: Ahmed A. Elngar Author 3: Mohammed Kayed

The increasing proliferation of Internet of Things (IoT) nodes poses significant security challenges for their network’s communication. Blockchain technology, with its decentralized and distributed nature, has the potential to address these security concerns within IoT networks. LEACH (Low Energy Adaptive Clustering Hierarchy) algorithm and blockchain technology enhance IoT network security… Read full abstract & cite →

Internet of Things (IoT) Blockchain (BC) LEACH clustering authentication security

Abstract doi.org/10.14569/IJACSA.2023.0141059 PDF

60

Fuzzy Failure Modes Effect and Criticality Analysis of the Procurement Process of Artificial Intelligent Systems/Services

Author 1: Khalid Alshehhi Author 2: Ali Cheaitou Author 3: Hamad Rashid

This study focuses on the ranking of risks associated with the procurement of Artificial Intelligent (AI) systems/services for UAE public Sectors. Considering the involvement of human-based reasoning, this study proposes to use Fuzzy Failure Mode Effect and Criticality Analysis (FMECA). The risks were identified from the literature and subsequently, using… Read full abstract & cite →

Fuzzy Failure Mode Effect and Criticality Analysis (FMECA) procurement Artificial Intelligent (AI) System public sector United Arab Emirates (UAE)

Abstract doi.org/10.14569/IJACSA.2023.0141060 PDF

61

An Automatic Nuclei Segmentation on Microscopic Images using Deep Residual U-Net

Author 1: Ramya Shree H P Author 2: Minavathi Author 3: Dinesh M S

Nuclei Segmentation is the preliminary step towards the task of medical image analysis. Nowadays, there exists several deep learning-based techniques based on Convolutional Neural Networks (CNNs) for the task of nuclei segmentation. In this study, we present a neural network for semantic segmentation. This network harnesses the strengths in both… Read full abstract & cite →

Nuclei segmentation convolutional neural networks neural networks U-Net deep learning semantic segmentation 2018 data science bowl

Abstract doi.org/10.14569/IJACSA.2023.0141061 PDF

62

Diabetes Prediction Empowered with Multi-level Data Fusion and Machine Learning

Author 1: Ghofran Bassam Author 2: Amina Rouai Author 3: Reyaz Ahmad Author 4: Muhammd Adnan Khan

Technology improvements have benefited the medical industry, especially in the area of diabetes prediction. In order to find patterns and risk factors related to diabetes, machine learning and Artificial Intelligence (AI) are vital in the analysis of enormous volumes of data, including medical records, lifestyle variables, and biomarkers. This makes… Read full abstract & cite →

Disease prediction machine learning (ML) fused approach artificial neural network (ANN) support vector machine (SVM) disease diagnosis healthcare

Abstract doi.org/10.14569/IJACSA.2023.0141062 PDF

63

A Comprehensive Comparative Study of Machine Learning Methods for Chronic Kidney Disease Classification: Decision Tree, Support Vector Machine, and Naive Bayes

Author 1: Admi Syarif Author 2: Olivia Desti Riana Author 3: Dewi Asiah Shofiana Author 4: Akmal Junaidi

Based on the findings of the 2010 Global Burden of Disease analysis, there was an increase in the global ranking of Chronic Kidney Disease (CKD) as a major contributor to mortality, moving from 27th place in 1990 to 18th position. Approximately 10 percent of the global population experiences CKD, and… Read full abstract & cite →

Chronic kidney disease (CKD) classification decision tree machine learning naïve bayes support vector machine (SVM)

Abstract doi.org/10.14569/IJACSA.2023.0141063 PDF

64

Deep Convolutional Neural Network for Accurate Prediction of Seismic Events

Author 1: Assem Turarbek Author 2: Maktagali Bektemesov Author 3: Aliya Ongarbayeva Author 4: Assel Orazbayeva Author 5: Aizhan Koishybekova Author 6: Yeldos Adetbekov

In recent years, the realm of seismology has witnessed an increased integration of advanced computational techniques, seeking to enhance the precision and timeliness of earthquake predictions. The paper titled "Deep Convolutional Neural Network and Machine Learning Enabled Framework for Analysis and Prediction of Seismic Events" embarks on an ambitious exploration… Read full abstract & cite →

Deep learning CNN random forest SVM neural network prediction analysis

Abstract doi.org/10.14569/IJACSA.2023.0141064 PDF

65

Detecting the RPL Version Number Attack in IoT Networks using Deep Learning Models

Author 1: Ayoub KRARI Author 2: Abdelmajid HAJAMI Author 3: Ezzitouni JARMOUNI

This research presents a novel approach for detecting the highly perilous RPL version number attack in IoT networks using deep learning models, specifically Long Short-Term Memory (LSTM) and Deep Neural Networks (DNN). The study employs the Cooja simulator to create a comprehensive dataset for simulating the attack. By training LSTM… Read full abstract & cite →

Attack deep learning detection IoT machine learning RPL security version number

Abstract doi.org/10.14569/IJACSA.2023.0141065 PDF

66

Lung Cancer Detection using Segmented 3D Tensors and Support Vector Machines

Author 1: Zaib un Nisa Author 2: Arfan Jaffar Author 3: Sohail Masood Bhatti Author 4: Umair Muneer Butt

Tumor is currently the second most prevalent cause of mortality, and its prevalence is expanding rapidly. The development of pulmonary nodules inside the lungs is suggestive of the existence of lung cancer. The detection of cancer is achieved using nodules detected in computer tomography (CT) images obtained from the LUNA… Read full abstract & cite →

Deep learning lung cancer LUNA16 machine learning nodules PyTorch

Abstract doi.org/10.14569/IJACSA.2023.0141066 PDF

67

Early Detection and Defense Countermeasure Inference of Ransomware based on API Sequence

Author 1: Shuqin Zhang Author 2: Tianhui Du Author 3: Peiyu Shi Author 4: Xinyu Su Author 5: Yunfei Han

Currently, ransomware attacks have become an important threat in the field of network security. The detection and defense of ransomware has become particularly important. However, due to the insufficient data and behavior patterns collected dynamically to detect variants and unknown ransomware, there is also a lack of specialized defense strategies… Read full abstract & cite →

Ransomware detection API sequences WGAN-GP ATT&CK machine learning ontology defense countermeasures

Abstract doi.org/10.14569/IJACSA.2023.0141067 PDF

68

The Holistic Expression Factors of Emotional Motion for Non-humanoid Robots

Author 1: Qisi Xie Author 2: Ding-Bang Luh

The development of technology and the increasing prevalence of solitary living have transformed non-humanoid robots, such as robotic sweepers and mechanical pets, into potential sources of emotional support for individuals. Nevertheless, the majority of non-humanoid robots currently in existence are task-oriented and lack features such as facial expressions and sound… Read full abstract & cite →

Human-robot interaction robot emotion non-humanoid robot movement

Abstract doi.org/10.14569/IJACSA.2023.0141068 PDF

69

Deep CNN for the Identification of Pneumonia Respiratory Disease in Chest X-Ray Imagery

Author 1: Dias Nessipkhanov Author 2: Venera Davletova Author 3: Nurgul Kurmanbekkyzy Author 4: Batyrkhan Omarov

Addressing the challenges of diagnosing lower respiratory tract infections, this study unveils the potential of Deep Convolutional Neural Networks (Deep CNN) as transformative tools in medical image interpretation. Our research presents a tailored Deep CNN model, optimized for distinguishing pneumonia in chest X-ray images, a task often complicated by subtle… Read full abstract & cite →

X-Ray deep learning classification respiratory disease pneumonia CNN

Abstract doi.org/10.14569/IJACSA.2023.0141069 PDF

70

A Novel Digital Recognition Method Based on Improved SVD-DHNN

Author 1: Xuemei Yao Author 2: Jiajia Zhang Author 3: Juan Wang Author 4: Jiaying Wei

Discrete Hopfield Neural Network (DHNN) is widely used in character recognition because of its associative memory. It is a fully connected neural network. Its weight initialization is a random process. In order to give full play to the associative memory of DHNN and overcome the problems of pseudo-stable points and… Read full abstract & cite →

Discrete Hopfield Neural Network particle swarm optimization singular value decomposition digital recognition sparse matrix

Abstract doi.org/10.14569/IJACSA.2023.0141070 PDF

71

The GSO-Deep Learning-based Financial Risk Management System for Rural Economic Development Organization

Author 1: Weiliang Chen

Financial risk management has always been a key concern for major enterprises. At the same time, with the continuous attention to impoverished rural areas worldwide, financial risk management tools have become an important component of rural economic development organizations to avoid financial risks. With the rapid development of artificial intelligence… Read full abstract & cite →

Deep learning Glowworm Swarm Optimization (GSO) algorithm Deep Neural Networks (DNN) financial risk prediction rural economic development organization

Abstract doi.org/10.14569/IJACSA.2023.0141071 PDF

72

Sustainable Smart Home IoT to Open and Close the House Fence using a Scanning Method

Author 1: Heri Purwanto Author 2: Rikky Wisnu Nugraha Author 3: Fahmi Reza Ferdiansyah Author 4: Deshinta Arrova Dewi Author 5: Rudy Sofian Author 6: Muhammad Faridh Rizaldy

A home that is connected to the Internet allows all of its appliances and systems to communicate with one another via the Internet of Things (IoT), making it a component of a sustainable smart home. The issue with this study's findings is that some homes still utilize manual gates, which… Read full abstract & cite →

Smart home Internet of Things (IoT) Radio Frequency Identification (RFID) scanning sustainable smart home smart city process innovation

Abstract doi.org/10.14569/IJACSA.2023.0141072 PDF

73

Investigating the Role of Machine Learning Algorithms in Predicting Sepsis using Vital Sign Data

Author 1: Amit Sundas Author 2: Sumit Badotra Author 3: Gurpreet Singh Author 4: Amit Verma Author 5: Salil Bharany Author 6: Imtithal A. Saeed Author 7: Ashraf Osman Ibrahim

Objective: In hospitals, sepsis is a common and costly condition, but machine learning systems that utilize electronic health records can enhance the timely detection of sepsis. The purpose of this research is to verify the effectiveness of a machine learning tool that makes use of a gradient boosted ensemble for… Read full abstract & cite →

Machine learning sepsis vital sign prediction electronic health records

Abstract doi.org/10.14569/IJACSA.2023.0141073 PDF

74

A Novel and Efficient Point Cloud Registration by using Coarse-to-Fine Strategy Integrating PointNet

Author 1: Chunxiang Liu Author 2: Tianqi Cheng Author 3: Muhammad Tahir Author 4: Mingchu Li Author 5: Zhouqi Liu Author 6: Lei Wang

The registration of the point cloud plays a critical and fundamental role in the computer vision domain. Although quite good registration results have been obtained by using the global, local, and learning-based registration strategies, there are still many problems to solve. For example, the local methods that are based on… Read full abstract & cite →

Point cloud registration PointNet coarse-fine registration random sample consensus (RANSAC) algorithm Lucas and Kanade (LK) algorithm

Abstract doi.org/10.14569/IJACSA.2023.0141074 PDF

75

Surface Reconstruction from Unstructured Point Cloud Data for Building Digital Twin

Author 1: F. A. Ismail Author 2: S.A. Abdul Shukor Author 3: N.A. Rahim Author 4: R. Wong

This study highlights on the methods used for surface reconstruction from unstructured point cloud data, characterized by simplicity, robustness and broad applicability from 3D point cloud data. The input data consists of unstructured 3D point cloud data representing a building. The reconstruction methods tested here are Poisson Reconstruction Algorithm, Ball… Read full abstract & cite →

Surface reconstruction point cloud building reconstruction 3D mesh

Abstract doi.org/10.14569/IJACSA.2023.0141075 PDF

76

A Cost-Effective Method for Detecting and Tracking Moving Objects using Overlapping Methods

Author 1: Yuanyuan ZHANG

Overlay approaches for moving object detection and tracking have recently received attention as a crucial field for computer science and computer vision research. Using pixel overlap and visual attributes, these techniques enable the recognition and tracking of objects in movies or video data. Two color and edge features for the… Read full abstract & cite →

Tracking moving object detection image processing binary patterns HSV histogram

Abstract doi.org/10.14569/IJACSA.2023.0141076 PDF

77

Exploring the Utilization of Program Semantics in Extreme Code Summarization: An Experimental Study Based on Acceptability Evaluation

Author 1: Jiuli Li Author 2: Yan Liu

With the rise of deep learning methods, neural network architecture adopted from neural machine translation has been widely studied in code summarization by learning the sequential content of code. Given the inherent nature of programming languages, learning the representation of source code from the parsed structural information is also a… Read full abstract & cite →

Extreme code summarization program semantics utilization acceptability analysis of code summary

Abstract doi.org/10.14569/IJACSA.2023.0141077 PDF

78

Using Topic in Summarization for Vietnamese Paragraph

Author 1: Dat Tien Dieu Author 2: Dien Dinh

This article delves into the realm of refining the precision of automated text summarization tasks by harnessing the underlying themes within the documents. Our training data draws upon the VNDS dataset (A_Vietnamese_Dataset_for_Summarization), encompassing a total of 150,704 samples aggregated from diverse online news sources like vnexpress.net, tuoitre.vn, and more. These… Read full abstract & cite →

Automatic text summarization a theme-based approach BERTmodel latent dirichlet allocation

Abstract doi.org/10.14569/IJACSA.2023.0141078 PDF

79

Incorporating Natural Language Processing into Virtual Assistants: An Intelligent Assessment Strategy for Enhancing Language Comprehension

Author 1: Franciskus Antonius Author 2: Purnachandra Rao Alapati Author 3: Mahyudin Ritonga Author 4: Indrajit Patra Author 5: Yousef A. Baker El-Ebiary Author 6: Myagmarsuren Orosoo Author 7: Manikandan Rengarajan

The study introduces a comprehensive technique for enhancing the Natural Language Processing (NLP) capabilities of virtual assistant systems. The method addresses the challenges of efficient information transfer and optimizing model size while ensuring improved performance, with a primary focus on model pertaining and distillation. To tackle the issue of vocabulary… Read full abstract & cite →

Natural language processing virtual assistants smart evaluation approach artificial intelligence human-computer interactions

Abstract doi.org/10.14569/IJACSA.2023.0141079 PDF

80

A Novel Multidimensional Reference Model for Heterogeneous Textual Datasets using Context, Semantic and Syntactic Clues

Author 1: Ganesh Kumar Author 2: Shuib Basri Author 3: Abdullahi Abubakar Imam Author 4: Abdullateef Oluwagbemiga Balogun Author 5: Hussaini Mamman Author 6: Luiz Fernando Capretz

With the advent of technology and use of latest devices, they produce voluminous data. Out of it, 80% of the data are unstructured and remaining 20% are structured and semi-structured. The produced data are in heterogeneous format and without following any standards. Among heterogeneous (structured, semi-structured and unstructured) data, textual… Read full abstract & cite →

Reference model computational linguistics heterogeneous data context clues semantic clues syntactic clues

Abstract doi.org/10.14569/IJACSA.2023.0141080 PDF

81

Application of Lightweight Deep Learning Model in Landscape Architecture Planning and Design

Author 1: Linyu Zhang

The holistic view of garden construction is firstly reflected in the integration of the elements that make up the garden, and the primary and secondary are distinguished from the perspective of the whole city, the continuation of the upper planning, the coordination with the surrounding groups and the harmony of… Read full abstract & cite →

Deep learning landscape architecture landscape element neural network artificial neural network view planning

Abstract doi.org/10.14569/IJACSA.2023.0141081 PDF

82

Investigations of Modified Functional Connectivity at Rest in Drug-Resistant Temporal Lobe Epilepsy Patients

Author 1: Deepa Nath Author 2: Anil Hiwale Author 3: Nilesh Kurwale Author 4: C. Y. Patil

In this experimental study patients with temporal lobe epilepsy and controls have been compared for functional connectivity (FC) using resting-state functional magnetic resonance imaging (rs-fMRI). This research work examines the alterations to better understand the issues with brain activity of individuals suffering from Temporal Lobe epilepsy (TLE), during the rest… Read full abstract & cite →

Temporal Lobe Epilepsy (TLE) resting-state Functional Magnetic Resonance Imaging (rs-fMRI) Functional Connectivity (FC) Blood Oxygen Level-Dependent (BOLD)

Abstract doi.org/10.14569/IJACSA.2023.0141082 PDF

83

Blockchain-based Teaching Evaluation System for Ensuring Data Integrity and Anonymity

Author 1: Md. Mijanur Rahman Author 2: Uttam Kumar Saha Author 3: Shohedul Islam Author 4: Sanjida Akhter

The significance of student feedback within educational institutions cannot be overstated, as it serves as a pivotal tool for evaluating faculty performance and identifying potential gaps in course content. Blockchain technology has emerged as an increasingly promising solution for diverse digital applications, owing to its distinctive attributes and robust security… Read full abstract & cite →

Blockchain student feedback system faculty performance evaluation anonymity smart contract ethereum

Abstract doi.org/10.14569/IJACSA.2023.0141083 PDF

84

Dynamic Routing Using Petal Ant Colony Optimization for Mobile Ad-hoc Networks

Author 1: Sathyaprakash B. P Author 2: Manjunath Kotari

A Mobile Ad-hoc Network (MANET) is a temporary wireless network that configures itself as needed. Each MANET node has a finite number of resources and serves as both a node and a router at the same time. MANET nodes are mobile and move from one location to another. Because MANET… Read full abstract & cite →

Petal ant routing dynamic petal ant routing MANET ant colony optimization

Abstract doi.org/10.14569/IJACSA.2023.0141084 PDF

85

Hybrid Syntax Dependency with Lexicon and Logistic Regression for Aspect-based Sentiment Analysis

Author 1: Mohammad Mashrekul Kabir Author 2: Zulaiha Ali Othman Author 3: Mohd Ridzwan Yaakub Author 4: Sabrina Tiun

Aspect-based Sentiment Analysis (ABSA) is a fine-grained form of SA that greatly benefits customers and the real world. ABSA of customer reviews has become a trendy topic because of the profuse information that is shared through these reviews. While SA also known as opinion mining helps to find opinion, ABSA… Read full abstract & cite →

Aspect-based Sentiment Analysis dependency parsing lexicon customer review opinion mining hybrid

Abstract doi.org/10.14569/IJACSA.2023.0141085 PDF

86

A Comparative Study of Cloud Data Portability Frameworks for Analyzing Object to NoSQL Database Mapping from ONDM's Perspective

Author 1: Salil Bharany Author 2: Kiranbir Kaur Author 3: Safaa Eltayeb Mohamed Eltaher Author 4: Ashraf Osman Ibrahim Author 5: Sandeep Sharma Author 6: Mohammed Merghany Mohammed Abd Elsalam

Cloud computing revolves around storing and retrieving data in a portable manner. However, practical data portability across multiple Database-as-a-service (DBaaS) cloud data stores is challenging. This becomes even more complicated when data needs to be migrated between different types of data storage, such as SQL and NoSQL databases. NoSQL databases… Read full abstract & cite →

NoSQl Portability Cloud middleware platform as a service platform services

Abstract doi.org/10.14569/IJACSA.2023.0141086 PDF

87

Analysis and Application of Antibacterial Drug Resistance Based on Deep Learning

Author 1: Wei Zhang Author 2: Yanhua Zhang Author 3: Qiang Zhang Author 4: Caixia Xie Author 5: Yan Chen Author 6: Jingwei Lei

The continuous improvement of deep learning technology has led to its deeper application in related fields, especially in the detection of antimicrobial resistance in the medical field. In drug resistance detection, the CNN-ATT-TChan model based on the fusion of CNN algorithm and attention mechanism can classify and organize a large… Read full abstract & cite →

Deep learning antibacterial drug CCN algorithm pharmaceutical chemical analysis drug resistance testing

Abstract doi.org/10.14569/IJACSA.2023.0141087 PDF

88

Multi-Scale Deep Learning-based Recurrent Neural Network for Improved Medical Image Restoration and Enhancement

Author 1: A. B. Pawar Author 2: C Priya Author 3: V. V. Jaya Rama Krishnaiah Author 4: V. Antony Asir Daniel Author 5: Yousef A. Baker El-Ebiary Author 6: Ahmed I. Taloba

Improving medical image quality is essential for accurate diagnosis, treatment planning, and ongoing condition monitoring. A crucial step in many medical applications, the restoration of damaged input images tries to retrieve lost high-quality data. Despite significant advancements in image restoration, two major problems still exist. First, it's important to preserve… Read full abstract & cite →

Multi-Scale Deep Learning (MSDL) Recurrent Neural Network (RNN) deep learning medical image Artificial Bee Colony (ABC)

Abstract doi.org/10.14569/IJACSA.2023.0141088 PDF

89

Cold Chain Logistics Path Planning and Design Method based on Multi-source Visual Information Fusion Technology

Author 1: Ke XUE Author 2: Bing Han

Complete cold chain logistics is needed to control the whole temperature of refrigerated and frozen food, including the closed environment, storage and transportation when loading and unloading goods. Studying how to optimize vehicle scheduling and reduce transportation time and transportation costs is very important. The research object of this paper… Read full abstract & cite →

Multi-source visual information fusion cold chain logistics road path planning ant colony optimization

Abstract doi.org/10.14569/IJACSA.2023.0141089 PDF

90

CDCA: Transparent Cache Architecture to Improve Content Delivery by Internet Service Providers

Author 1: Alwi M Bamhdi

The popularity of on-demand multimedia such as video streaming services has been rapidly increasing the overall Internet traffic volume in the world. As of the beginning of 2023, almost 82% of this global Internet traffic came from video transmission through on-demand online services, trending towards changing the Internet paradigm from… Read full abstract & cite →

Content caching content delivery network content search algorithm information-centric networking multimedia network function virtualization software defined networks

Abstract doi.org/10.14569/IJACSA.2023.0141090 PDF

91

An Improved Hybrid A*Algorithm of Path Planning for Hotel Service Robot*

Author 1: Xiaobing Cao Author 2: Yicen Xu Author 3: Yonghong Yao Author 4: Chenbo Zhi

Due to the increasing demand for unmanned in the hotel industry in recent years, how to efficiently use hotel service robots to further improve the efficiency of the hotel industry has become a hot research issue. To solve the problems of lengthy path-finding time and poor route security in conventional… Read full abstract & cite →

Path planning bidirectional A* algorithm JPS algorithm security weight square matrix cubic spline interpolation method

Abstract doi.org/10.14569/IJACSA.2023.0141091 PDF

92

Innovative Practice of Virtual Reality Technology in Animation Production

Author 1: He Huixuan Author 2: Xiang Yuan

In order to make the users who watch animation look better, the innovative practice research of virtual reality technology in animation production is proposed. According to the object structure information, the method uses 3ds Max software to complete the production of 3D animated character models. It completes the character prototype… Read full abstract & cite →

Virtual reality technology animation production 3D modeling OpenGL geometric modeling real time roaming

Abstract doi.org/10.14569/IJACSA.2023.0141092 PDF

93

A Machine Learning Approach for Emotion Classification in Bengali Speech

Author 1: Md. Rakibul Islam Author 2: Amatul Bushra Akhi Author 3: Farzana Akter Author 4: Md Wasiul Rashid Author 5: Ambia Islam Rumu Author 6: Munira Akter Lata Author 7: Md. Ashrafuzzaman

In this research work, we have presented a machine learning strategy for Bengali speech emotion categorization with a focus on Mel-frequency cepstral coefficients (MFCC) as features. The commonly utilized method of MFCC in speech processing has proved effective in obtaining crucial phoneme-specific data. This paper analyzes the efficacy of four… Read full abstract & cite →

XgBoost gradient boosting CatBoost random forest MFCC

Abstract doi.org/10.14569/IJACSA.2023.0141093 PDF

94

Hybrid Integrated Aquila Optimizer for Efficient Service Composition with Quality of Service Guarantees in Cloud Computing

Author 1: Xiaofei Liu

The prompt evolution of cloud computing technology has given rise to the emergence of countless cloud-based services. However, guaranteeing Quality of Service (QoS) awareness in service composition poses a substantial difficulty in cloud computing. A solitary service cannot effectively handle the complicated requests and varied demands of real-world situations. In… Read full abstract & cite →

Cloud computing service composition Particle Swarm Optimization Aquila optimizer

Abstract doi.org/10.14569/IJACSA.2023.0141094 PDF

95

QoS and Energy-aware Resource Allocation in Cloud Computing Data Centers using Particle Swarm Optimization Algorithm and Fuzzy Logic System

Author 1: Yu Wang Author 2: Lin Zhu

Cloud computing has become a viable option for many organizations due to its flexibility and scalability in providing virtualized resources via the Internet. It offers the possibility of hosting pervasive applications in the consumer, scientific, and business domains utilizing a pay-as-you-go model. This makes cloud computing a cost-effective solution for… Read full abstract & cite →

Cloud computing resource allocation scheduling PSO fuzzy logic

Abstract doi.org/10.14569/IJACSA.2023.0141095 PDF

96

Efficient Cloud Workflow Scheduling with Inverted Ant Colony Optimization Algorithm

Author 1: Hongwei DING Author 2: Ying ZHANG

Cloud computing has risen as a prominent paradigm, offering users on-demand access to computing resources and services via the Internet. In cloud environments, workflow scheduling plays a vital role in optimizing resource utilization, reducing execution time, and minimizing overall costs. As workflows comprise interdependent tasks that need to be assigned… Read full abstract & cite →

Cloud computing workflow scheduling virtualization task allocation swarm intelligence optimization

Abstract doi.org/10.14569/IJACSA.2023.0141096 PDF

97

Measuring Surroundings Awareness using Different Visual Parameters in Virtual Reality

Author 1: Fatma E. Ibrahim Author 2: Neven A. M. Elsayed Author 3: Hala H. Zayed

Due to the popularity of digital games, there is a growing interest in using games as therapeutic interventions. The ability of games to capture attention can be beneficial to distract patients from pain. In this paper, we investigate the impact of visual parameters (color, shapes, and animation) on users’ awareness… Read full abstract & cite →

Virtual reality visual distraction attention awareness

Abstract doi.org/10.14569/IJACSA.2023.0141097 PDF

98

A Comparative Study of Deep Learning Algorithms for Forecasting Indian Stock Market Trends

Author 1: Mrinal Kanti Paul Author 2: Purnendu Das

This research underscores the vital significance of providing investors with timely and dependable information within the dynamic landscape of today’s stock market. It delves into the expanding utilization of data science and machine learning methods for anticipating stock market movements. The study conducts a comprehensive analysis of past research to… Read full abstract & cite →

Stock prediction machine learning technique deep learning stock market National Stock Exchange

Abstract doi.org/10.14569/IJACSA.2023.0141098 PDF

99

Detection of Dyslexia Through Images of Handwriting using Hybrid AI Approach

Author 1: Norah Dhafer Alqahtani Author 2: Bander Alzahrani Author 3: Muhammad Sher Ramzan

Dyslexia is a neurodevelopmental disorder characterized by difficulties with acquiring reading skills, despite the presence of appropriate learning opportunities, sufficient education, and a suitable sociocultural context. Dyslexia negatively affects children’s educational development and their acquisition of language, as well as their writing. Therefore, early detection of dyslexia is of great… Read full abstract & cite →

Dyslexia dyslexia detection deep learning dyslexia classification CNN model SVM model random forest model

Abstract doi.org/10.14569/IJACSA.2023.0141099 PDF

100

A Hybrid metaheuristic Algorithm for Edge Site Deployment with User Coverage Maximization and Cost Minimization

Author 1: Xiaodong Xing Author 2: Ying Song Author 3: Bo Wang

Recent years, edge computing has been getting increased attention due to its ultra-low delay service deliveries. Plenty of works have focused on the performance improvement of edge computing by e.g., edge server deployment, edge caching, and task offloading. While, there is a lack of work on improving the investment cost… Read full abstract & cite →

Edge computing edge deployment GA PSO metaheuristic

Abstract doi.org/10.14569/IJACSA.2023.01410100 PDF

101

A Comprehensive System for Managing Blood Resources Leveraging Blockchain, Smart Contracts, and Non-Fungible Tokens

Author 1: Khiem H. G Author 2: Huong H. L Author 3: Phuc N. T Author 4: Khoa T. D Author 5: Khanh H. V. Author 6: Quy L. T Author 7: Ngan N. T. K Author 8: Triet N. M Author 9: Kha N. H Author 10: Anh N. T Author 11: Trong. V. C. P Author 12: Bang L. K Author 13: Hieu D. M Author 14: Bao T. Q

The escalating demand for blood and its derivatives in the medical field underpins its indispensable nature for disease diagnosis and therapy. Such essential life-giving components are irreplaceable, necessitating a continuous reliance on voluntary blood donors. Existing methodologies primarily address the challenges of blood storage and its logistical distribution among healthcare… Read full abstract & cite →

Blood donation blockchain ethereum blood products supply chain smart contract NFT ethereum fantom poly-gon binance smart chain

Abstract doi.org/10.14569/IJACSA.2023.01410101 PDF

102

An Enhanced CoD System Leveraging Blockchain, Smart Contracts, and NFTs: A New Approach for Trustless Transactions

Author 1: Phuc N. T Author 2: Khanh H. V Author 3: Khoa T. D Author 4: Khiem H. G Author 5: Huong H. L Author 6: Ngan N. T. K Author 7: Triet N. M Author 8: Kha N. H Author 9: Anh N. T Author 10: Trong. V. C. P Author 11: Bang L. K Author 12: Hieu D. M Author 13: Quy L. T

The global transportation of goods has evolved in response to varied economic demands. The rapid progression of modern scientific and technological innovations offers a shift from traditional shipping paradigms. Current systems, whether domestic like Cash-on-Delivery (CoD) or international such as Letter-of-Credit, necessitate trust-building through an intermediary—be it a carrier or… Read full abstract & cite →

Letter-of-credit cash-on-delivery blockchain smart contract NFT Ethereum Fantom polygon binance smart chain

Abstract doi.org/10.14569/IJACSA.2023.01410102 PDF

103

Recognition of Human Interactions in Still Images using AdaptiveDRNet with Multi-level Attention

Author 1: Arnab Dey Author 2: Samit Biswas Author 3: Dac-Nhoung Le

Human-Human Interaction Recognition (H2HIR) is a multidisciplinary field that combines computer vision, deep learning, and psychology. Its primary objective is to decode and understand the intricacies of human-human interactions. H2HIR holds significant importance across various domains as it enables machines to perceive, comprehend, and respond to human social behaviors, gestures… Read full abstract & cite →

Human interaction recognition still images adaptiveDRNet multi level attention human interactions

Abstract doi.org/10.14569/IJACSA.2023.01410103 PDF

104

Keyphrase Distance Analysis Technique from News Articles as a Feature for Keyphrase Extraction: An Unsupervised Approach

Author 1: Mohammad Badrul Alam Miah Author 2: Suryanti Awang Author 3: Md Mustafizur Rahman Author 4: A. S. M. Sanwar Hosen

Due to the rapid expansion of information and online sources, automatic keyphrase extraction remains an important and challenging problem in the field of current study. The use of keyphrases is extremely beneficial for many tasks, including information retrieval (IR) systems and natural language processing (NLP). It is essential to extract… Read full abstract & cite →

Curve fitting technique data pre-processing data processing feature extraction KDA technique keyphrase extraction

Abstract doi.org/10.14569/IJACSA.2023.01410104 PDF

105

Gamification in Physical Activity: State-of-the-Art

Author 1: Majed Hariri Author 2: Richard Stone

Physical activity is decreasing globally, and more people are becoming sedentary, which is associated with numerous adverse health outcomes. To counter this trend, gamification emerges as a promising strategy for enhancing participation in physical activity interventions. The review investigates the influence of gamified systems on the promotion of physical activity… Read full abstract & cite →

Physical activity gamification gamified systems gamification and motivation state-of-the-art

Abstract doi.org/10.14569/IJACSA.2023.01410105 PDF

106

Investigate the Impact of Stemming on Mauritanian Dialect Classification using Machine Learning Techniques

Author 1: Mohamed El Moustapha El Arby CHRIF Author 2: Cheikhane Seyed Author 3: Cheikhne Mohamed Mahmoud Author 4: EL BENANY Mohamed Mahmoud Author 5: Fatimetou Mint Mohamed-Saleck Author 6: Moustapha Mohamed Saleck Author 7: Omar EL BEQQALI Author 8: Mohamedade Farouk NANNE

Despite the plethora and diversity of research on Natural Language Processing (NLP). As a technique allowing computers to understand, generate, and manipulate human language; It still remains insufficient, especially with regard to the processing of Arabic texts and their dialects which are widely used. The proposed approach focuses on the… Read full abstract & cite →

Machine learning Natural Language Processing Arabic text classification HASSANIYA dialect Weka stemming

Abstract doi.org/10.14569/IJACSA.2023.01410106 PDF

107

Quantum Steganography: Hiding Secret Messages in Images using Quantum Circuits and SIFT

Author 1: Hassan Jameel Azooz Author 2: Khawla Ben Salah Author 3: Monji Kherallah Author 4: Mohamed Saber Naceur

In today’s era of escalating digital threats and the growing need for safeguarding sensitive information, this research strives to advance the field of information concealment by introducing a pioneering steganography methodology. Our approach goes beyond the conventional boundaries of image security by seamlessly integrating classical image processing techniques with the… Read full abstract & cite →

Clustering keypoints k-means cover image quantum steganography

Abstract doi.org/10.14569/IJACSA.2023.01410107 PDF

108

Development of Interactive Data Visualization System in Three-Dimensional Immersive Space

Author 1: Shah Murtaza Rashid Al Masud Author 2: Homaira Adiba Author 3: Tamzid Hossain Author 4: Aloke Kumar Saha Author 5: Rashik Rahman

Today’s data-driven environments require innovative tools and methods to analyze and present data. The growth of data across many domains and remarkable technological advances have necessitated a shift from 2D data representations. The rapid growth in dataset scale, variety, and speed has revealed the limitations of conventional charts and graphs… Read full abstract & cite →

Immersive space data visualization VR system python API unity 3D

Abstract doi.org/10.14569/IJACSA.2023.01410108 PDF

109

Fine-Grained Differences-Similarities Enhancement Network for Multimodal Fake News Detection

Author 1: Xiaoyu Wu Author 2: Shi Li Author 3: Zhongyuan Lai Author 4: Haifeng Song Author 5: Chunfang Hu

The use of social media has proliferated dramatically in recent years due to its increasing reach and ease of use. Along with this enlarged influence of social media platforms and the relative anonymity afforded to content contributors, an increasingly significant proportion of social media is composed of untruthful or “fake”… Read full abstract & cite →

Fake news detection social media pre-training model multimodal transformer

Abstract doi.org/10.14569/IJACSA.2023.01410109 PDF

110

Detecting and Unmasking AI-Generated Texts through Explainable Artificial Intelligence using Stylistic Features

Author 1: Aditya Shah Author 2: Prateek Ranka Author 3: Urmi Dedhia Author 4: Shruti Prasad Author 5: Siddhi Muni Author 6: Kiran Bhowmick

In recent years, Artificial Intelligence (AI) has sig-nificantly transformed various aspects of human activities, including text composition. The advancements in AI technology have enabled computers to generate text that closely mimics human writing which is raising concerns about misinformation, identity theft, and security vulnerabilities. To address these challenges, understanding the… Read full abstract & cite →

Detecting AI generated text computer generated text AI generated text text classification machine learning pattern recognition Stylistic features Explainable AI Lime Shap

Abstract doi.org/10.14569/IJACSA.2023.01410110 PDF

111

A Small Dummy Disrupting Database Reconstruction in a Cache Side-Channel Attack

Author 1: Hyeonwoo Han Author 2: Eun-Kyu Lee Author 3: Junghee Jo

This paper demonstrates the feasibility of a database reconstruction attack on open-source database engines and presents a defense method against it. We launch a Flush+Reload attack on SQLite, which returns approximate, noisy volumes returned by range queries for a private database. Given the volumes, our database reconstruction uses two al-gorithms… Read full abstract & cite →

Attack cache attack side-channel attack security database reconstruction privacy clique-finding database volume

Abstract doi.org/10.14569/IJACSA.2023.01410111 PDF

112

An Approach for Classification of Diseases on Leaves

Author 1: Quy Thanh Lu

In recent years, significant advancements have been made in the realm of plant disease classification, with a particular focus on leveraging the capabilities of deep learning techniques. This study delves into the utilization of renowned Convolutional Neural Network (CNN) models, including EfficientNetB5, Mo-bileNet, ResNet50, InceptionV3, and VGG16, for the purpose… Read full abstract & cite →

Classification of diseases on leaves transfer learning finetuning image classification deep learning

Abstract doi.org/10.14569/IJACSA.2023.01410112 PDF

113

Transformer-based End-to-End Object Detection in Aerial Images

Author 1: Nguyen D. Vo Author 2: Nguyen Le Author 3: Giang Ngo Author 4: Du Doan Author 5: Do Le Author 6: Khang Nguyen

Transformer models have achieved significant mile-stones in the field of Artificial Intelligence in recent years, primarily focusing on text processing and natural language processing. However, the application of these models in the domain of image processing, particularly on aerial images data, is actively research. This study concentrates on the experimental… Read full abstract & cite →

Object detection aerial images end-to-end transformer-based DETR DAB-DETR DINO

Abstract doi.org/10.14569/IJACSA.2023.01410113 PDF

114

The Impact of Text Generation Techniques on Neural Image Captioning: An Empirical Study

Author 1: Linna Ding Author 2: Mingyue Jiang Author 3: Liming Nie Author 4: Zuzhang Qing Author 5: Zuohua Ding

Image captioning is an advanced NLP task that has various practical applications. To meet the requirement of visual information understanding and textual information generation, the encoder-decoder framework has been widely adopted by image captioning models. In this context, the encoder is responsible for transforming an image into vector representation, and… Read full abstract & cite →

Image captioning encoder-decoder text gener-ation techniques

Abstract doi.org/10.14569/IJACSA.2023.01410114 PDF

115

Optimizing the Production of Valuable Metabolites using a Hybrid of Constraint-based Model and Machine Learning Algorithms: A Review

Author 1: Kauthar Mohd Daud Author 2: Ridho Ananda Author 3: Suhaila Zainudin Author 4: Chan Weng Howe

The advances in genome sequencing and metabolic engineering have allowed the reengineering of the cellular function of an organism. Furthermore, given the abundance of omics data, data collection has increased considerably, thus shifting the perspective of molecular biology. Therefore, researchers have recently used artificial intelligence and machine learning tools to… Read full abstract & cite →

Flux balance analysis genome-scale metabolic model machine learning metabolic engineering

Abstract doi.org/10.14569/IJACSA.2023.01410115 PDF

116

Wrapper-based Modified Binary Particle Swarm Optimization for Dimensionality Reduction in Big Gene Expression Data Analytics

Author 1: Hend S. Salem Author 2: Mohamed A. Mead Author 3: Ghada S. El-Taweel

Gene expression data has emerged as a crucial aspect of big data in genomics. The advent of high-throughput technologies such as microarrays and next-generation sequencing has enabled the generation of extensive gene expression data. These datasets are characterized by their complexity, fast data generation, diversity, and high dimensionality. Analyzing high… Read full abstract & cite →

Alzheimer disease big gene expression binary particle swarm optimization deep learning dimensionality reduction

Abstract doi.org/10.14569/IJACSA.2023.01410116 PDF

117

Development of YOLO-based Model for Fall Detection in IoT Smart Home Applications

Author 1: Pengcheng Gao

In smart home applications, effective fall detection is a critical concern to minimize the occurrence of falls leading to injuries, especially for the assistance of elderly individuals. Various methods have been proposed, including both vision-based and non-vision-based approaches. Among these, vision-based approaches have garnered significant attention from researchers due to… Read full abstract & cite →

Smart home IoT elderly care computer vision deep learning YOLO

Abstract doi.org/10.14569/IJACSA.2023.01410117 PDF

118

Identification of the False Data Injection Cyberattacks on the Internet of Things by using Deep Learning

Author 1: Henghe Zheng Author 2: Xiaojing Chen Author 3: Xin Liu

With the expanding utilization of cyber-physical structures and communication networks, cyberattacks have become a serious threat in various networks, including the Internet of Things (IoT) sensors. The state estimation algorithms play an important role in defining the present operational scenario of the IoT sensors. The attack of the false data… Read full abstract & cite →

Cyberattacks false data injection (FDI) attacks internet of things (IoT) deep learning

Abstract doi.org/10.14569/IJACSA.2023.01410118 PDF

119

Automated Fruit Grading in Precise Agriculture using You Only Look Once Algorithm

Author 1: Weiwei Zhang

In the realm of precision agriculture, the automated grading of fruits stands as a critical endeavor, serving to maintain consistent quality assessment and streamline the sorting process. Traditional methods based on computer vision and deep learning techniques have both been explored extensively in the context of fruit grading, with the… Read full abstract & cite →

Precise agriculture automated fruit grading deep learning computer vision Yolov5

Abstract doi.org/10.14569/IJACSA.2023.01410119 PDF

120

Image Stitching Method and Implementation for Immersive 3D Ink Element Animation Production

Author 1: Chen Yang Author 2: Siti SalmiJamali Author 3: Adzira Husain Author 4: Nianyou Zhu Author 5: Jian Wen

As the growth of immersive 3D animation, its application in ink element animation is constantly updating and advancing. However, the current immersive 3D ink element animation production also has the problem of lack of innovation and repeated development, so the research innovatively designs and develops the image stitching method for… Read full abstract & cite →

Immersive 3D ink element animation image stitching stereo matching algorithm

Abstract doi.org/10.14569/IJACSA.2023.01410120 PDF

121

AI Animation Character Behavior Modeling and Action Recognition in Virtual Studio

Author 1: Yaoyao Xu

With the advancement of virtual broadcasting technology, the use of artificial intelligence animated characters in virtual scenes is becoming increasingly widespread. However, there are still a series of challenges and limitations to make the behavior of animated characters more natural, intelligent, and diverse. Therefore, this study proposes a behavior tree… Read full abstract & cite →

Virtual broadcasting animated characters behavioral modeling action recognition behavior tree long and short-term memory

Abstract doi.org/10.14569/IJACSA.2023.01410121 PDF

122

An Integrated, Bidirectional Pronunciation, Morphology, and Diacritics Finite-State System

Author 1: Maha Alkhairy Author 2: Afshan Jafri Author 3: Adam Cooper

A bidirectional phonetizer, morphologizer, and diacritizer pipeline (FSPMD) for modern standard Arabic (MSA) that integrated pronunciation, concatenative and templatic morphology, and diacritization were developed. Grammar and segmental phonology rules were applied in the forward direction to ensure the order of the proper rules, which were supplemented with special backward direction… Read full abstract & cite →

Computational linguistics phonology morphology modern standard Arabic diacritization text-to-speech language learning tools

Abstract doi.org/10.14569/IJACSA.2023.01410122 PDF

123

Applications of Artificial Intelligence for Information Diffusion Prediction: Regression-based Key Features Models

Author 1: Majed Algarni Author 2: Mohamed Maher Ben Ismail

Information diffusion prediction is essential in marketing, advertising, and public health. Public health officials may avoid disease outbreaks, and businesses can optimize marketing campaigns and target audiences. Information diffusion prediction helps identify influential nodes in social networks, enabling targeted interventions to spread positive messages or counter misinformation. Organizations can make… Read full abstract & cite →

Information diffusion social media data machine learning deep learning

Abstract doi.org/10.14569/IJACSA.2023.01410123 PDF