IJACSA Vol. 15 Issue 10 (2024)

1

Development of an AI Based Failure Predictor Model to Reduce Filament Waste for a Sustainable 3D Printing Process

Author 1: Noushin Mohammadian Author 2: Melissa Sofía Molina Silva Author 3: Giorgi Basiladze Author 4: Omid Fatahi Valilai

This paper delves into the integration of motion tracking technology for real-time monitoring in 3D printing, with a focus on the popular fused filament fabrication (FFF) technique. Despite FFF's cost-efficiency, prevalent printing errors pose significant challenges to its commercial and environmental viability. This study proposes a solution by incorporating motion… Read full abstract & cite →

3D printing Fused Filament Fabrication (FFF) motion tracking environmental sustainability printing waste reduction

Abstract doi.org/10.14569/IJACSA.2024.0151001 PDF

2

Developing a Blockchain Based Supply Chain CO2 Footprint Tracking Framework Enabled by IoT

Author 1: Mohammad Yaser Mofatteh Author 2: Roshanak Davallou Author 3: Chaida Ndahiro Ishimwe Author 4: Swaresh Suresh Divekar Author 5: Omid Fatahi Valilai

In various industries, the convergence of the Internet of Things (IoT) and blockchain technologies has left an indelible mark on the pursuit of decarbonization. These innovations have seamlessly integrated into diverse fields, from manufacturing to logistics, offering sustainable solutions that enhance operational efficiency, transparency, and accountability. The interplay between IoT… Read full abstract & cite →

Blockchain IoT supply chain carbon footprint sustainability

Abstract doi.org/10.14569/IJACSA.2024.0151002 PDF

3

Triggered Screen Restriction Framework: Transforming Gamified Physical Interventions

Author 1: Majed Hariri Author 2: Richard Stone Author 3: Ulrike Genschel

This study examines the effectiveness of the Triggered Screen Restriction (TSR) framework, a novel technique to promote exercise that combines negative reinforcement with adaptive gamification elements. The study examined the TSR framework’s impact on physical activity levels, addictive nature, health indicators, psychological factors, and app usability compared to a control… Read full abstract & cite →

Gamification physical activity negative reinforcement triggered screen restriction framework TSR framework gamified physical intervention

Abstract doi.org/10.14569/IJACSA.2024.0151003 PDF

4

AI in the Detection and Prevention of Distributed Denial of Service (DDoS) Attacks

Author 1: Sina Ahmadi

Distributed Denial of Service (DDoS) attacks are malicious attacks that aim to disrupt the normal flow of traffic to the targeted server or network by manipulating the server’s infrastructure with overflowing internet traffic. This study aims to investigate several artificial intelligence (AI) models and utilise them in the DDoS detection… Read full abstract & cite →

Artificial intelligence Distributed Denial of Service (Ddos) machine learning detection accuracy

Abstract doi.org/10.14569/IJACSA.2024.0151004 PDF

5

A Hybrid Regression-Based Network Model for Continuous Face Recognition and Authentication

Author 1: Bhanu Kiran Devisetty Author 2: Ayush Goyal Author 3: Avdesh Mishra Author 4: Mais W Nijim Author 5: David Hicks Author 6: George Toscano

This research proposes a continuous remote biometric user authentication system implemented with a face recognition model pre-trained on face images. This work develops an algorithm combining the Hybrid Block Overlapping KT Polynomials (HBKT) and Regression-based Support Vector Machine (RSVM) methods for a face recognition-based remote user authentication system that uses… Read full abstract & cite →

Vision-based computing object detection face detection face recognition feature extraction feature coefficients classification authentication biometrics biometric authentication

Abstract doi.org/10.14569/IJACSA.2024.0151005 PDF

6

Designing Conversational Agents for Student Wellbeing

Author 1: Jieyu Wang Author 2: Li Zhang Author 3: Dingfang Kang Author 4: Katherina G. Pattit

The innovative development of AI technology provides new possibilities and new solutions to the problems that we are facing in modern society. Student well-being status has been a major concern in well-being care, especially in the post-pandemic era. The availability and quality of well-being support have limited the accessibility of… Read full abstract & cite →

Conversational agent/chatbot wellbeing UX design

Abstract doi.org/10.14569/IJACSA.2024.0151006 PDF

7

Data Encoding with Generative AI: Towards Improved Machine Learning Performance

Author 1: Abdelkrim SAOUABE Author 2: Hicham OUALLA Author 3: Imad MOURTAJI

This article explores the design and implementation of a Generative AI-based data encoding system aimed at enhancing human resource management processes. Addressing the complexity of HR data and the need for informed decision-making, the study introduces a novel approach that leverages Generative AI for data encoding. This approach is applied… Read full abstract & cite →

Data encoding Generative AI salary simulator human resource management machine learning

Abstract doi.org/10.14569/IJACSA.2024.0151007 PDF

8

RETRACTED: Cross-Modal Hash Retrieval Model for Semantic Segmentation Network for Digital Libraries

Author 1: Siyu Tang Author 2: Jun Yin

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 →

Digital library hash retrieval semantic segmentation word2vec fully convolutional neural network

Abstract doi.org/10.14569/IJACSA.2024.0151008 PDF

9

AI-Powered Waste Classification Using Convolutional Neural Networks (CNNs)

Author 1: Chan Jia Yi Author 2: Chong Fong Kim

In Malaysia, approximately 70%-80% of recyclable materials end up in landfills due to low participation in Separation at Source Initiative. This is largely attributed to the public perception that waste segregation is a foreign idea, coupled with a lack of public knowledge. Around 72.19% of the residents are unsure about… Read full abstract & cite →

Convolutional neural networks CNN deep learning waste classification recycling zero waste SDGs

Abstract doi.org/10.14569/IJACSA.2024.0151009 PDF

10

Attention Mechanism-Based CNN-LSTM for Abusive Comments Detection and Classification in Social Media Text

Author 1: BalaAnand Muthu First Author 2: Kogilavani Shanmugavadive Author 3: Veerappampalayam Easwaramoorthy Sathishkumar Author 4: Muthukumaran Maruthappa Author 5: Malliga Subramanian Author 6: Rajermani Thinakaran

Human contact with one another through social networks, blogs, forums, and online news portals and communication has dramatically increased in recent years. People use these platforms to express their feelings, but sometimes hateful comments are also spread. When abusive language is used in online comments to attack individuals such as… Read full abstract & cite →

Attention mechanism hybrid CNN-LSTM model machine learning model deep learning model abusive comments detection

Abstract doi.org/10.14569/IJACSA.2024.0151010 PDF

11

Knowledge Graph-Based Badminton Tactics Mining and Reasoning for Badminton Player Training Pattern Analysis and Optimization

Author 1: Xingli Hu Author 2: Jiangtao Li Author 3: Ren Cai

As the global emphasis on sports data analysis and athlete performance optimization continues to grow, traditional badminton training methods are increasingly insufficient to meet the demands of modern high-level competitive sports. The exploration and reasoning of badminton tactics can significantly aid coaches and athletes in better comprehending game strategies, playing… Read full abstract & cite →

Badminton tactical analysis graph neural networks attention mechanisms training pattern optimization heterogeneous graph splitting artificial intelligence

Abstract doi.org/10.14569/IJACSA.2024.0151011 PDF

12

Analysis and Usability Evaluation of Virtual Reality in Cultural Landscape Promotion Platform Application

Author 1: Yufang Huang Author 2: Yin Luo Author 3: Jingyu Zheng Author 4: Xunxiang Li

In order to improve the efficiency of analysing the application of virtual reality technology in cultural landscape promotion platform and enhance the accuracy of usability assessment, a feasibility assessment method based on MA-BiGRU for virtual reality technology cultural landscape promotion platform is proposed. Firstly, it analyses the application of virtual… Read full abstract & cite →

Virtual reality technology cultural landscape promotion platform usability assessment algorithm Mayfly algorithm

Abstract doi.org/10.14569/IJACSA.2024.0151012 PDF

13

Migrating from Monolithic to Microservice Architectures: A Systematic Literature Review

Author 1: Hossam Hassan Author 2: Manal A. Abdel-Fattah Author 3: Wael Mohamed

Migration from monolithic software systems to modern microservice architecture is a critical process for enhancing software systems' scalability, maintainability, and performance. This study conducted a systematic literature review to explore the various methodologies, techniques, and algorithms used in the migration of monolithic systems to modern microservice architectures. Furthermore, this study… Read full abstract & cite →

Software migration software evolution monolithic architecture microservice architecture systematic literature review

Abstract doi.org/10.14569/IJACSA.2024.0151013 PDF

14

A Review on NS Beyond 5G: Techniques, Applications, Challenges and Future Research Directions

Author 1: Cui Zhiyi Author 2: Azana Hafizah Mohd Aman Author 3: Faizan Qamar

With the advent of the fifth generation (5G) era, many emerging Internet of Things (IoT) applications have emerged to make life more convenient and intelligent. While the number of connected devices is growing, there are also differences in the network requirements of each device. Network slicing (NS) as an emerging… Read full abstract & cite →

5G network slicing resource allocation dynamic allocation security

Abstract doi.org/10.14569/IJACSA.2024.0151014 PDF

15

Real Time Object Detection for Sustainable Air Conditioner Energy Management System

Author 1: Chang Shi Ying Author 2: C. PuiLin

Air conditioning has become indispensable for maintaining human comfort, especially during hot weather, as people rely on it to stay cool indoors. However, the long-term and uncontrolled use of air conditioners has significantly contributed to climate change and environmental degradation. The extensive use of air conditioners releases more carbon dioxide… Read full abstract & cite →

Deep learning energy consumption energy efficiency global warming climate change real-time object detection Air conditioner optimization smart meter environmental footprint climate action

Abstract doi.org/10.14569/IJACSA.2024.0151015 PDF

16

The Review of Malaysia Digital Health Service Mobile Applications’ Usability Design

Author 1: Kah Hao Lim Author 2: Chia Yean Lim Author 3: Anusha Achuthan Author 4: Chin Ernst Wong Author 5: Vina Phei Sean Tan

Digital health services have become a trend and receive higher demand in Malaysia. However, the adoption of mobile applications to support the digital health service in the country remains low especially among older adults, contributing to low usability support of the mobile applications. This paper reviews the usability models and… Read full abstract & cite →

Health system accessible ISO/IEC9126 Nielsen usability model older adults usability

Abstract doi.org/10.14569/IJACSA.2024.0151016 PDF

17

Badminton Tracking and Motion Evaluation Model Based on Faster RCNN and Improved VGG19

Author 1: Jun Ou Author 2: Chao Fu Author 3: Yanyun Cao

Badminton, as a popular sport in the field of sports, has rich information on body motions and motion trajectories. Accurately identifying the swinging motions during badminton is of great significance for badminton education, promotion, and competition. Therefore, based on the framework of Faster R-CNN multi object tracking algorithm, a new… Read full abstract & cite →

Faster RCNN VGG19 badminton target tracking motion evaluation

Abstract doi.org/10.14569/IJACSA.2024.0151017 PDF

18

Cyberbullying Detection on Social Networks Using a Hybrid Deep Learning Architecture Based on Convolutional and Recurrent Models

Author 1: Aigerim Altayeva Author 2: Rustam Abdrakhmanov Author 3: Aigerim Toktarova Author 4: Abdimukhan Tolep

This research paper explores the development and efficacy of a hybrid deep learning architecture for cyberbullying detection on social media platforms, integrating Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks. By leveraging the strengths of both CNNs and LSTMs, the model aims to enhance the accuracy and sensitivity… Read full abstract & cite →

Cyberbullying detection deep learning CNN LSTM social media monitoring sentiment analysis digital safety

Abstract doi.org/10.14569/IJACSA.2024.0151018 PDF

19

Optimization with Adaptive Learning: A Better Approach for Reducing SSE to Fit Accurate Linear Regression Model for Prediction

Author 1: Vijay Kumar Verma Author 2: Umesh Banodha Author 3: Kamlesh Malpani

The Optimization provides a way through which an optimum can be achieved. It is all about designing accurate and optimal output for a given problems with using minimum available resources. It is a task which refers to minimizing an objective function f(x) parameterized by x or it is the task… Read full abstract & cite →

Adaptive learning regression optimization minimum cost objective error random

Abstract doi.org/10.14569/IJACSA.2024.0151019 PDF

20

Efficient Remote Health Monitoring Using Deep Learning and Parallel Systems

Author 1: Zakaria El Khadiri Author 2: Rachid Latif Author 3: Amine Saddik

This study presents a novel approach for non-contact extraction of physiological parameters, such as heart rate and respiratory rate, from facial images captured using RGB cameras, leveraging recent advancements in deep learning and signal processing techniques. The proposed system integrates Artifacts intelligent-driven algorithms for accurately estimating vital signs, addressing key… Read full abstract & cite →

Real-time healthcare embedded systems heterogeneous computing deep learning CPU-GPU architecture

Abstract doi.org/10.14569/IJACSA.2024.0151020 PDF

21

Smart Muni Platform: Efficient Emergency and Citizen Security Management Based on Geolocation, Technological Integration and Real Time Communication

Author 1: Gerson Castro-Chucan Author 2: Hiroshi Chalco-Peñafiel Author 3: Norka Bedregal-Alpaca Author 4: Victor Cornejo-Aparicio

The global increase in crime across cities has led to the development and implementation of technological solutions, such as the Smart Muni platform, designed to enhance citizen security. This platform integrates geolocation, real-time notifications, and a digital panic button to optimize emergency management and coordination between citizens and authorities. Developed… Read full abstract & cite →

Citizen security geolocation emergency management cloud technology alert platform

Abstract doi.org/10.14569/IJACSA.2024.0151021 PDF

22

Serious Games Model for Higher-Order Thinking Skills in Science Education

Author 1: Siti Norliza Awang Noh Author 2: Hazura Mohamed Author 3: Nor Azan Mat Zin

The popularity of digital games has led to the emergence of serious games, which are developed with specific purposes beyond mere entertainment. Serious games in education represent more innovative and current pedagogical approaches. However, the existing digital games have been shown to improve critical thinking skills, although there is still… Read full abstract & cite →

Serious game Higher-Order Thinking (HOT) skills science education game element learning element

Abstract doi.org/10.14569/IJACSA.2024.0151022 PDF

23

Lung CT Image Classification Algorithm Based on Improved Inception Network

Author 1: Qianlan Liu

With the continuous development of digital technology, traditional lung computed tomography medical image processing has problems such as complex images, small sample data, and similar symptoms between diseases. How to efficiently process lung computed tomography image classification has become a technical challenge. Based on this, the Inception algorithm is fused… Read full abstract & cite →

Image classification inception lung CT images CNN machine learning

Abstract doi.org/10.14569/IJACSA.2024.0151023 PDF

24

Multilevel Characteristic Weighted Fusion Algorithm in Domestic Waste Information Classification

Author 1: Min Li

The study of domestic waste image classification holds significant significance for fields like environmental protection and smart city development. To improve the classification efficiency of household waste information, a multi-feature weighted fusion method for household waste image classification is proposed. In this research, deep learning technology was applied to develop… Read full abstract & cite →

Multi-feature weighted fusion image deep learning waste classification

Abstract doi.org/10.14569/IJACSA.2024.0151024 PDF

25

Novel Biomarkers for Colorectal Cancer Prediction

Author 1: Mohamed Ashraf Author 2: M. M. El-Gayar Author 3: Eman Eldaydamony

Most researchers work on solving the important issue of identifying biomarkers linked to a certain disease, like cancer, in order to assist in the disease’s diagnosis and treatment. Several research have recently suggested several methods for identifying genes linked to disease. A handful of these methods were created specifically for… Read full abstract & cite →

Colorectal cancer (CRC) microarray biomarkers gene expression omnibus feature selection chi-squared test XGBoost

Abstract doi.org/10.14569/IJACSA.2024.0151025 PDF

26

Environmental and Economic Benefit Analysis of Urban Construction Projects Based on Data Envelopment Analysis and Simulated Annealing Algorithm

Author 1: Jie Gong

With the continuous advancement of urbanization and the sustained growth of urban population, city building projects are facing severe challenges. How to analyze their environmental and economic benefits has become an urgent problem to be solved. Therefore, based on the proposed method for calculating the environmental and economic benefits of… Read full abstract & cite →

DEA simulated annealing algorithm city building environment economics benefit

Abstract doi.org/10.14569/IJACSA.2024.0151026 PDF

27

Improving the Accuracy of Chili Leaf Disease Classification with ResNet and Fine-Tuning Strategy

Author 1: Sayuti Rahman Author 2: Rahmat Arief Setyadi Author 3: Asmah Indrawati Author 4: Arnes Sembiring Author 5: Muhammad Zen

Lack of diseases detection in plants frequently results in the spread of diseases that are difficult to treat and expensive. Rapid diseases recognition enables farmers to control the diseases with appropriate treatment. This study aims to support chili farmers in identifying chili plant diseases based on leaf images. This work… Read full abstract & cite →

Chili leaf classification convolutional neural network ResNet10 fine-tuning precision agriculture

Abstract doi.org/10.14569/IJACSA.2024.0151027 PDF

28

Exploring the Impact of User Experience Elements on Virtual Reality for Emotion Regulation Through mVR-Real App

Author 1: Irna Hamzah Author 2: Ely Salwana Author 3: Nilufar Baghaei

Virtual reality, a rapidly advancing technological development, has significantly evolved over the past few years, offering immersive experiences through headsets, gloves, or controllers that engage users in dynamic and captivating environments. Its applications span various fields, including video games, healthcare, education, and training simulations. However, there remains a gap in… Read full abstract & cite →

Virtual reality app user experience emotion regulation social-emotional learning

Abstract doi.org/10.14569/IJACSA.2024.0151028 PDF

29

Enhancing Emotion Regulation Through Virtual Reality Design Framework for Social-Emotional Learning (VRSEL)

Author 1: Irna Hamzah Author 2: Ely Salwana Author 3: Nilufar Baghaei Author 4: Mark Billinghurst Author 5: Azhar Arsad

Virtual reality (VR) has swiftly progressed, transitioning from a niche technology primarily associated with gaming to a versatile tool with broad applications across entertainment, healthcare, education, and beyond. Social-emotional learning (SEL) is increasingly recognized for its role in enhancing individuals' social skills and emotional regulation. However, despite the growing body… Read full abstract & cite →

Virtual reality design framework social-emotional learning emotion regulation

Abstract doi.org/10.14569/IJACSA.2024.0151029 PDF

30

Bridging the Gap: Machine Learning and Vision Neural Networks in Autonomous Vehicles for the Aging Population

Author 1: Shengsheng Tan

As autonomous vehicles (AVs) evolve recently, it is necessary to address the unique needs of the aging population group. They can get a significant benefit from this technology. This scoping review focus the role of machine learning and vision neural networks in autonomous vehicles. A focus on enhancing safety, usability… Read full abstract & cite →

Autonomous vehicles machine learning vision neural network human-computer interaction aging population artificial intelligence

Abstract doi.org/10.14569/IJACSA.2024.0151030 PDF

31

Machine Learning for Predicting Intradialytic Hypotension: A Survey Review

Author 1: Saeed Alqahtani Author 2: Suhuai Luo Author 3: Mashhour Alanazi Author 4: Kamran Shaukat Author 5: Mohammed G Alsubaie Author 6: Mohammad Amer

Intradialytic hypotension (IDH) is a common complication in patients undergoing maintenance hemodialysis and is associated with an increased risk of cardiovascular and all-cause mortality. Machine learning (ML) and deep learning (DL) techniques transform healthcare by enabling accurate disease diagnosis, personalised treatment plans, and clinical decision support. However, challenges like data… Read full abstract & cite →

Hemodialysis machine learning deep learning artificial intelligence intradialytic hypotension electrocardiogram light gradient boosting machine deep neural network recurrent neural network

Abstract doi.org/10.14569/IJACSA.2024.0151031 PDF

32

An Interactive Attention-Based Approach to Document-Level Relationship Extraction

Author 1: Zhang Mei Author 2: Zhao Zhongyuan Author 3: Xu Zhitong

Document-level relation extraction entails sifting through extensive document data to pinpoint relationships and pertinent event details among various entities. This process aids intelligence analysts in swiftly grasping the essence of the content while revealing potential connections and emerging trends, thus proving invaluable for research purposes. This paper puts forward a… Read full abstract & cite →

Document-level relation extraction interaction attention-based the baseline model

Abstract doi.org/10.14569/IJACSA.2024.0151032 PDF

33

Computer Modeling of the Stress-Strain State of Two Kvershlags with a Double Periodic System of Slits Weighty Elastic Transtropic Massif

Author 1: Tursinbay Turymbetov Author 2: Gulmira Tugelbaeva Author 3: Baqlan Kojahmet Author 4: Bekzat Kuatbekov Author 5: Serzhan Maulenov Author 6: Bakhytzhan Turymbetov Author 7: Mukhamejan Abdibek

This paper presents computer modeling of the stress-strain state of two kvershlags with a double periodic system of slits weighty elastic transtropic massif. It introduced key concepts such as 'kvershlag', a term used to describe perpendicular cavities in a layered massif, and 'weighted elastic transtropic massif', which refers to a… Read full abstract & cite →

Transtropic cavities stress-strain state deformation finite element slits

Abstract doi.org/10.14569/IJACSA.2024.0151033 PDF

34

Smart System for Driver Behavior Prediction

Author 1: Hajar LAZAR Author 2: Zahi JARIR

Driver behavior has recently emerged as a challenging topic in Traffic risk studies. Despite the advances in this topic, the challenges still remain. In fact, the current contribution deals with predicting at Real-time driver behavior based on machine learning techniques handling data sensing collected from smartphone sensors (accelerometer, gyroscope, GPS)… Read full abstract & cite →

Driver behavior prediction OBD II smartphone sensors intelligent transport system traffic safety

Abstract doi.org/10.14569/IJACSA.2024.0151034 PDF

35

Development of Intelligent Learning Model Based on Ant Colony Optimization Algorithm

Author 1: Xiaojing Guo Author 2: Xiaoying Zhu Author 3: Lei Liu

In the process of the gradual popularization of online courses, learners are increasingly dissatisfied with the recommendation mechanism of imprecise courses when faced with a large number of course choices. How to better recommend relevant courses to targeted users has become a current research hotspot. An intelligent learning model based… Read full abstract & cite →

Online courses ant colony optimization algorithm intelligent learning model path planning local optimum

Abstract doi.org/10.14569/IJACSA.2024.0151035 PDF

36

Automated Detection of Malevolent Domains in Cyberspace Using Natural Language Processing and Machine Learning

Author 1: Saleem Raja Abdul Samad Author 2: Pradeepa Ganesan Author 3: Amna Salim Al-Kaabi Author 4: Justin Rajasekaran Author 5: Singaravelan M Author 6: Peerbasha Shebbeer Basha

Cyberattacks are intentional attacks on computer systems, networks, and devices. Malware, phishing, drive-by downloads, and injection are popular cyberattacks that can harm individuals, businesses, and organizations. Most of these attacks trick internet users by using malicious links or webpages. Malicious webpages can be used to distribute malware, steal personal information… Read full abstract & cite →

Machine learning N-gram linguistic features natural language processing (NLP) malicious webpage

Abstract doi.org/10.14569/IJACSA.2024.0151036 PDF

37

Enhanced IVIFN-ExpTODIM-MABAC Technique for Multi-Attribute Group Decision-Making Under Interval-Valued Intuitionistic Fuzzy Sets

Author 1: Bin Xie

The evaluation of English teaching quality is crucial for enhancing teaching effectiveness. It helps teachers understand their teaching methods and students' learning outcomes through systematic assessment, thereby guiding teachers to adjust their teaching strategies. Additionally, the results of the evaluation provide decision-making support for educational management at schools, optimizing curriculum… Read full abstract & cite →

Multi-attribute group decision-making (MAGDM) interval-valued intuitionistic fuzzy sets (IVIFSs) ExpTODIM approach MABAC approach college English teaching quality evaluation

Abstract doi.org/10.14569/IJACSA.2024.0151037 PDF

38

CoCoSo Framework for Management Performance Evaluation of Teaching Services in Sports Colleges and Universities with Euclidean Distance and Logarithmic Distance

Author 1: Feng Li Author 2: Yuefei Wen

Sports colleges are the highest educational level in China's higher education system to cultivate sports professionals. They shoulder the arduous task of cultivating sports talents with innovative spirit and practical ability, and contribute to the country's sports and education undertakings. Through the study of the service performance of the teaching… Read full abstract & cite →

Multiple-Attribute Decision-Making (MADM) Double-Valued Neutrosophic Sets (DVNSs) CoCoSo technique management performance evaluation of teaching services

Abstract doi.org/10.14569/IJACSA.2024.0151038 PDF

39

Enhanced Methodology for Production-Education Integration and Quality Evaluation of Rural Vocational Education Under Rural Revitalization with 2-Tuple Linguistic Neutrosophic Numbers

Author 1: Xingli Wang

Rural vocational education (RVE) plays a crucial role in nurturing practical talents for the development of rural economy and society in the new era, as well as cultivating future generations of agricultural successors. Quality evaluation serves as an essential means of ensuring educational excellence. It acts as a key element… Read full abstract & cite →

Multiple-attribute group decision-making (MAGDM) 2TLNSs ExpTODIM approach GRA approach PEI quality evaluation

Abstract doi.org/10.14569/IJACSA.2024.0151039 PDF

40

A Deep Learning Based Detection Method for Insulator Defects in High Voltage Transmission Lines

Author 1: Wang Tingyu Author 2: Sun Xia Author 3: Liu Jiaxing Author 4: Zhang Yue

The high-voltage transmission system is a key component of the power network, and the reliability of its insulators directly affects the safe operation of the system. Traditional insulator defect detection methods are reliant on manual inspection, which requires significant human resources and is prone to substantial subjectivity. To address this… Read full abstract & cite →

Insulators insulator defect detection improved YOLOv5 BiFPN network PyQt5

Abstract doi.org/10.14569/IJACSA.2024.0151040 PDF

41

A Review of Personalized Recommender System for Mental Health Interventions

Author 1: Idayati Binti Mazlan Author 2: Noraswaliza Abdullah Author 3: Norashikin Ahmad Author 4: Siti Zaleha Harun

Personalized recommender systems for mental health are becoming indispensable instruments for providing individuals with individualized resources and therapeutic interventions. This study aims to explore the application of recommender systems within the mental health domain through a systematic literature review. The research is guided by three primary questions: 1) What is… Read full abstract & cite →

Recommender system collaborative filtering content-based filtering hybrid recommender system mental health

Abstract doi.org/10.14569/IJACSA.2024.0151041 PDF

42

Intelligent Service Book Sorting in University Libraries Based on Linear Discriminant Analysis Method

Author 1: Changjun Wang Author 2: Fengxia You Author 3: Yu Wang

The demand for intelligent services in university libraries is constantly increasing, especially in the intelligent book sorting work. The research aims to explore an intelligent classification method for university library books based on linear discriminant analysis. It is used to reduce the dimensionality of feature multidimensional data. A membership model… Read full abstract & cite →

Linear discrimination library intelligent services book sorting university libraries

Abstract doi.org/10.14569/IJACSA.2024.0151042 PDF

43

Prediction of Booking Trends and Customer Demand in the Tourism and Hospitality Sector Using AI-Based Models

Author 1: Siham Rekiek Author 2: Hakim Jebari Author 3: Kamal Reklaoui

Accurate demand forecasting is critical for optimizing operations in the tourism and hospitality sectors. This paper proposes a robust multi-algorithmic framework leveraging four advanced models of Artificial Intelligence (LSTM, Random Forest, XGBoost, and Prophet) to predict booking trends and customer demand. In contrast to traditional approaches, this study incorporates external… Read full abstract & cite →

Artificial Intelligence decision-making long short-term memory XGBoost Random Forest Prophet tourism hospitality demand forecasting booking trends customer

Abstract doi.org/10.14569/IJACSA.2024.0151043 PDF

44

Optimizing Production in Reconfigurable Manufacturing Systems with Artificial Intelligence and Petri Nets

Author 1: Salah Hammedi Author 2: Jalloul Elmelliani Author 3: Lotfi Nabli Author 4: Abdallah Namoun Author 5: Meshari Huwaytim Alanazi Author 6: Nasser Aljohani Author 7: Mohamed Shili Author 8: Sami Alshmrany

This article presents an advanced approach to optimize production in Reconfigurable Manufacturing Systems (RMFS) by integrating Petri Nets with artificial intelligence (AI) techniques, particularly a genetic algorithm (GA). The proposed methodology aims to enhance scheduling efficiency and adaptability in dynamic manufacturing environments. Quantitative analysis demonstrates significant improvements, with the approach… Read full abstract & cite →

Artificial Intelligence (AI) Genetic Algorithms (GAs) optimization intelligent scheduling Petri Nets Reconfigurable Manufacturing Systems (RMFS) scheduling

Abstract doi.org/10.14569/IJACSA.2024.0151044 PDF

45

TSO Algorithm and DBN-Based Comprehensive Evaluation System for University Physical Education

Author 1: Yonghua Yang

With the rise of fitness technologies and the integration of smart applications in education, improving physical education evaluation methods is essential for better assessing student performance inside and outside the classroom. Traditional evaluation methods often lack precision, fairness, and real-time capabilities. This study aims to develop an integrated evaluation method… Read full abstract & cite →

Campus fun run app integrated evaluation of university sports inside and outside the classroom tuna swarm optimization algorithm deep confidence network

Abstract doi.org/10.14569/IJACSA.2024.0151045 PDF

46

Robust Image Tampering Detection and Ownership Authentication Using Zero-Watermarking and Siamese Neural Networks

Author 1: Rodrigo Eduardo Arevalo-Ancona Author 2: Manuel Cedillo-Hernandez Author 3: Francisco Javier Garcia-Ugalde

The development of advanced image editing tools has significantly increased the manipulation of digital images, creating a pressing need for robust tamper detection and ownership authentication systems. This paper presents a method that combines zero-watermarking with Siamese neural networks to detect image tampering and verify ownership. The approach utilizes features… Read full abstract & cite →

Zero-watermarking tampering detection ownership authentication neural network

Abstract doi.org/10.14569/IJACSA.2024.0151046 PDF

47

Eating Behavior and Level of Knowledge About Healthy Eating Among Gym Users: A Multinomial Logistic Regression Study

Author 1: Ana Huamani-Huaracca Author 2: Sebastián Ramos-Cosi Author 3: Michael Cieza-Terrones Author 4: Gina León-Untiveros Author 5: Alicia Alva Mantari

The World Health Organization indicates that unhealthy diets cause approximately 11 million deaths annually worldwide. In Peru, 57.9% of the population consumes highly processed foods daily. The objective of this study is to analyze the relationship between knowledge about healthy eating and eating behavior among gym users in a district… Read full abstract & cite →

Knowledge healthy eating gym eating behavior

Abstract doi.org/10.14569/IJACSA.2024.0151047 PDF

48

Development of a Causal Model of Post-Millennials' Willingness to Disclose Information to Online Fashion Businesses (Thailand)

Author 1: Apiwat Krommuang Author 2: Jinnawat Kasisuwan

This research examines the causal factors influencing the willingness of Central Post-Millennials to disclose information to online fashion businesses by using privacy calculus theory as the basic principle for modeling. The study has three primary objectives: (1) to investigate the causal factors influencing willingness to disclose information, (2) to analyze… Read full abstract & cite →

Online fashion business Post-Millennials privacy calculus willingness disclose information

Abstract doi.org/10.14569/IJACSA.2024.0151048 PDF

49

Facial Expression Classification System Using Stacked CNN

Author 1: Aditya Wikan Mahastama Author 2: Edwin Mahendra Author 3: Antonius Rachmat Chrismanto Author 4: Maria Nila Anggia Rini Author 5: Andhika Galuh Prabawati

Automatic emotion recognition technology through facial expressions has broad potential, ranging from human-computer interaction to stress detection and blood pressure assessment. Facial expressions exhibit patterns and characteristics that can be identified and analyzed by image processing and machine learning methods. These methods provide a basis for the development of emotion… Read full abstract & cite →

FER CNN deep learning image classification

Abstract doi.org/10.14569/IJACSA.2024.0151049 PDF

50

Optimization of 3D Coverage Layout for Multi-UAV Collaborative Lighting in Emergency Rescue Operations

Author 1: Dan Jiang Author 2: Rui Yan

In emergency rescue scenarios, Unmanned Aerial Vehicles (UAVs) play a pivotal role in navigating complex terrains and high-risk environments. This paper proposes an optimization model for the three-dimensional coverage layout of a multi-UAV collaborative lighting system, specifically designed to meet the spatial requirements of emergency operations. An enhanced Particle Swarm… Read full abstract & cite →

Unmanned Aerial Vehicles emergency rescue collaborative lighting three-dimensional coverage particle swarm algorithm

Abstract doi.org/10.14569/IJACSA.2024.0151050 PDF

51

Analyzing the Impact of Occupancy Patterns on Indoor Air Quality in University Classrooms Using a Real-Time Monitoring System

Author 1: Sri Ratna Sulistiyanti Author 2: Muhamad Komarudin Author 3: F. X Arinto Setyawan Author 4: Hery Dian Septama Author 5: Titin Yulianti Author 6: M. Farid Ammar

Indoor air quality (IAQ) in universities is of concern because it directly affects students' health and performance. This study presents an IoT-based system for real-time monitoring of IAQ in university classrooms. The system uses MQ-7 and MQ-135 sensors to monitor CO and CO2 pollution parameters. The data is then processed… Read full abstract & cite →

Indoor air quality monitoring pollution IoT

Abstract doi.org/10.14569/IJACSA.2024.0151051 PDF

52

Active Semi-Supervised Clustering Algorithm for Multi-Density Datasets

Author 1: Walid Atwa Author 2: Abdulwahab Ali Almazroi Author 3: Eman A. Aldhahr Author 4: Nourah Fahad Janbi

Semi-supervised clustering with pairwise constraints has been a hot topic among researchers and experts. However, the problem becomes quite difficult to manage using random constraints for clustering data when the clusters have different shapes, densities, and sizes. This research proposes an active semi-supervised density-based clustering algorithm, termed "ASS-DBSCAN," designed specifically… Read full abstract & cite →

Semi-supervised clustering pairwise constraints multi-density data active learning

Abstract doi.org/10.14569/IJACSA.2024.0151052 PDF

53

MSMA: Merged Slime Mould Algorithm for Solving Engineering Design Problems

Author 1: Khaled Mohammad Alhashash Author 2: Hussein Samma Author 3: Shahrel Azmin Suandi

The Slime Mould Algorithm (SMA) has effectively solved various real-world problems such as image segmentation, solar photovoltaic cell parameter estimation, and economic emission dispatch. However, SMA and its variants still face limitations when dealing with low-dimensional optimization problems, including slow convergence and local optima traps. This study aims to develop… Read full abstract & cite →

Slime mould algorithm engineering design problems metaheuristic optimization

Abstract doi.org/10.14569/IJACSA.2024.0151053 PDF

54

Research on Credit Card Fraud Prediction Model Based on GAN-DNN Imbalance Classification Algorithm

Author 1: Qin Wang Author 2: Mary Jane C.Samonte

Credit card consumption has become an important way of consumption in modern life, but the problem of credit card fraud has also emerged, disrupting the financial order and restricting the development of the industry. Aiming at the data class imbalance problem in credit card fraud detection and improving the accuracy… Read full abstract & cite →

Generative adversarial network deep neural network unbalanced data credit card fraud classification algorithms

Abstract doi.org/10.14569/IJACSA.2024.0151054 PDF

55

Impact Analysis of Informatization Means Driven by Artificial Intelligence Technology on Visual Communication

Author 1: Lei Ni

With the popularization of computer technology, the combination of artificial intelligence and image processing technology has become a research hotspot in the visual communication. Image processing technology mostly involves segmentation and detection of images. Image segmentation often focuses on extracting image contour information, while ignoring the color of the image… Read full abstract & cite →

Image segmentation image detection density peak clustering algorithm convolutional neural network faster region convolutional neural network

Abstract doi.org/10.14569/IJACSA.2024.0151055 PDF

56

Revolutionizing Rice Leaf Disease Detection: Next-Generation SMOREF-SVM Integrating Spider Monkey Optimization and Advanced Machine Learning Techniques

Author 1: Avip Kurniawan Author 2: Tri Retnaningsih Soeprobowati Author 3: Budi Warsito

Leaf diseases pose a significant challenge to rice productivity, which is critical as rice is a staple food for over half of the world's population and a major agricultural commodity. These diseases can lead to severe economic losses and jeopardize food security, particularly in regions heavily reliant on rice farming… Read full abstract & cite →

SMOREF-SVM rice leaf disease classification Spider Monkey Optimization (SMO) machine learning image processing

Abstract doi.org/10.14569/IJACSA.2024.0151056 PDF

57

Human Dorsal Hand Vein Segmentation Method Based on GR-UNet Model

Author 1: Zhike Zhao Author 2: Wen Zeng Author 3: Kunkun Wu Author 4: Xiaocan Cui

To solve the issue of inaccurate segmentation accuracy of human dorsal hand veins (HDHV), we propose a segmentation method based on the global residual U-Net (GR-Unet) model. Initially, a visual acquisition device for dorsal hand vein imaging was designed utilizing near-infrared technology, resulting in the creation of a dataset comprising… Read full abstract & cite →

Human dorsal hand veins GR-UNet near infrared technology deep residual network-50 global attention mechanism loss function

Abstract doi.org/10.14569/IJACSA.2024.0151057 PDF

58

A Proposed Batik Automatic Classification System Based on Ensemble Deep Learning and GLCM Feature Extraction Method

Author 1: Luluk Elvitaria Author 2: Ezak Fadzrin Ahmad Shaubari Author 3: Noor Azah Samsudin Author 4: Shamsul Kamal Ahmad Khalid Author 5: Salamun Author 6: Zul Indra

Classification of batik images is a challenge in the field of digital image processing, considering the complexity of patterns, colors, and textures of various batik motifs. This study proposes an ensemble method that combines texture feature extraction using Gray Level Co-occurrence Matrix (GLCM) with the Residual Neural Network (ResNet) classification… Read full abstract & cite →

Batik GLCM ResNet ensemble method hard voting

Abstract doi.org/10.14569/IJACSA.2024.0151058 PDF

59

A Comprehensive Crucial Review of Re-Purposing DNN-Based Systems: Significance, Challenges, and Future Directions

Author 1: Yaser M Al-Hamzi Author 2: Shamsul Bin Sahibuddin

The fourth industrial revolution is marked by the significance of artificial intelligence (AI), particularly the remarkable progress in deep neural networks (DNNs). These networks have become crucial in various areas of daily life because of their remarkable pattern-learning capabilities on massive datasets. However, the incompatibility of these systems makes reutilizing… Read full abstract & cite →

DNNs DNN-based systems significance and challenges incompatibility re-purposing review

Abstract doi.org/10.14569/IJACSA.2024.0151059 PDF

60

A Machine Learning Operations (MLOps) Monitoring Model Using BI-LSTM and SARSA Algorithms

Author 1: Zeinab Shoieb Elgamal Author 2: Laila Elfangary Author 3: Hanan Fahmy

Machine learning operations (MLOps) achieves faster model development, deliver higher machine learning models quality, and faster deployment cycle. Unfortunately, MLOps is still an uncertain concept with ambiguous research implications. Professionals and academics have focused only on creating machine learning models, rather than using sophisticated machine learning systems in practical situations… Read full abstract & cite →

Machine learning MLOps monitoring container model

Abstract doi.org/10.14569/IJACSA.2024.0151060 PDF

61

Deep Learning Approach in Complex Sentiment Analysis: A Case Study on Social Problems

Author 1: Bambang Nurdewanto Author 2: Kukuh Yudhistiro Author 3: Dani Yuniawan Author 4: Himawan Pramaditya Author 5: Mochammad Daffa Putra Karyudi Author 6: Yulia Natasya Farah Diba Arifin Author 7: Puput Dani Prasetyo Adi

This scholarly investigation examines the utilization of artificial intelligence (AI) technology in the analysis and resolution of intricate societal challenges in many countries. The originality of this study resides in the employment of deep learning algorithms, particularly Convolutional Neural Network (CNN), to execute sentiment analysis with an elevated degree of… Read full abstract & cite →

Component sentiment analysis deep learning artificial intelligence social case

Abstract doi.org/10.14569/IJACSA.2024.0151061 PDF

62

Implementing a Machine Learning-Based Library Information Management System: A CATALYST-Based Framework Integration

Author 1: Chunmei Ma

This research proposes using machine learning as a foundational element for enhancing information retrieval procedures in university libraries. This initiative will enhance students' comprehension of the topic and improve the integration of instructional resources. To determine which method is the most effective, the performance of each methodology is compared. The… Read full abstract & cite →

Library management system book availability prediction machine learning algorithms university libraries information retrieval

Abstract doi.org/10.14569/IJACSA.2024.0151062 PDF

63

The Impact of the GQM Framework on Software Engineering Exam Outcomes

Author 1: Reem Abdulaziz Alnanih

Assessment is crucial in educational systems, particularly in Software Engineering (SE) programs, where fair and effective evaluations drive continuous improvement. The shift to student-centric methodologies has evolved assessment strategies to focus on aligning educational processes with students' developmental needs rather than merely measuring academic outputs. This paper adapts the Goal-Question-Metric… Read full abstract & cite →

Goal-question-metric (GQM) software engineering education learning process learning outcomes continuous improvement statistical analysis

Abstract doi.org/10.14569/IJACSA.2024.0151063 PDF

64

Critical Success Factors of Microservices Architecture Implementation in the Information System Project

Author 1: Mochamad Gani Amri Author 2: Teguh Raharjo Author 3: Anita Nur Fitriani Author 4: Nurman Rasyid Panusunan Hutasuhut

Microservice Architecture (MSA) promises enhancements in information systems, including improved performance, scalability, availability, and maintenance. However, challenges during the design, development, and operations phases can hinder successful deployment. This research presents a case study of one of the leading telecommunications companies in Indonesia, which encountered a three-month delay in implementing… Read full abstract & cite →

Microservice architecture software architecture critical success factors analytical hierarchy process

Abstract doi.org/10.14569/IJACSA.2024.0151064 PDF

65

Application Citespace Visualization Tool to Online Public Opinion Group Label: Generation, Dissemination and Trends

Author 1: Jingyi Ju

With the popularization of mobile Internet technology, the social and cultural environment provides a favorable communication environment for online news dissemination, leading to a highly ubiquitous phenomenon of group labeling communication events. This study explores the generation, dissemination, and evolution trends of group labeling in the online public opinion environment… Read full abstract & cite →

Group labeling online public opinion labeled communication communication mechanisms visualization

Abstract doi.org/10.14569/IJACSA.2024.0151065 PDF

66

Individual Cow Identification Using Non-Fixed Point-of-View Images and Deep Learning

Author 1: Yordan Kalmukov Author 2: Boris Evstatiev Author 3: Seher Kadirova

Monitoring and traceability are crucial for ensuring efficient and financially beneficial cattle breeding in contemporary animal husbandry. While most farmers rely mainly on ear tags, the development of computer vision and machine learning methods opened many new noninvasive opportunities for the identification, localization, and behavior recognition of cows. In this… Read full abstract & cite →

Cow identification convolutional neural network YOLOv3 non-fixed point-of-view

Abstract doi.org/10.14569/IJACSA.2024.0151066 PDF

67

A Modified Lightweight DeepSORT Variant for Vehicle Tracking

Author 1: Ayoub El-alami Author 2: Younes Nadir Author 3: Khalifa Mansouri

Object tracking plays a pivotal role in Intelligent Transportation Systems (ITS), enabling applications such as traffic monitoring, congestion management, and enhancing road safety in urban environments. However, existing object tracking algorithms like DeepSORT are computationally intensive, which hinders their deployment on resource-constrained edge devices essential for distributed ITS solutions. Urban… Read full abstract & cite →

Distributed systems intelligent transportation systems edge computing object tracking

Abstract doi.org/10.14569/IJACSA.2024.0151067 PDF

68

Multi-Site Cross Calibration on the LAPAN-A3/IPB Satellite Multispectral Camera with One-Dimensional Kalman Filter Optimization

Author 1: Sartika Salaswati Author 2: Adhi Harmoko Saputro Author 3: Wahyudi Hasbi Author 4: Deddy El Amin Author 5: Patria Rachman Hakim Author 6: Silmie Vidiya Fani Author 7: Agung Wahyudiono Author 8: Ega Asti Anggari

Multispectral cameras on remote sensing satellites must have good radiometric quality due to their wide range of applications. One type of radiometric calibration that can be performed while the satellite is in orbit is cross-calibration. This research focuses on cross-calibration because it has advantages, including being cost-effective and capable of… Read full abstract & cite →

Cross-calibration multi sites multispectral camera LAPAN-A3/IPB Satellite LISA LAPAN-A3 (LA3) OLI LANDSAT-8 (OL8) MSI/SENTINEL-2 (MS2) one-dimensional Kalman filter

Abstract doi.org/10.14569/IJACSA.2024.0151068 PDF

69

Combining BERT and CNN for Sentiment Analysis A Case Study on COVID-19

Author 1: Gunjan Kumar Author 2: Renuka Agrawal Author 3: Kanhaiya Sharma Author 4: Pravin Ramesh Gundalwar Author 5: Aqsa kazi Author 6: Pratyush Agrawal Author 7: Manjusha Tomar Author 8: Shailaja Salagrama

This research focuses on sentiment analysis to understand public opinion on various topics, with an emphasis on COVID-19 discussions on Twitter. By utilizing state-of-the-art Machine Learning (ML) and Natural Language Processing (NLP) techniques, the study analyzes sentiment data to provide valuable insights. The process begins with data preparation, involving text… Read full abstract & cite →

Sentiment analysis COVID-19 BERT CNN ensemble model NLP transfer learning

Abstract doi.org/10.14569/IJACSA.2024.0151069 PDF

70

Visual Translation of Auspicious Beliefs in Quanzhou Xi Culture from the Perspective of Man-Machine Collaboration

Author 1: Li Zheng Author 2: Xu Zhang Author 3: Huiling Guo

The “Xi” concept in the inheritance of auspicious culture covers the abundance of spiritual and material life, its symbolism is gorgeous and timeless and has lasted for thousands of years. Objective: This study investigates the Quanzhou “happiness” culture, which embodies “reverence for virtue and auspicious beliefs,” exploring its visual symbolization… Read full abstract & cite →

Quanzhou Xi culture symbol visualisation shape grammar artificial intelligence man-machine collaborative design

Abstract doi.org/10.14569/IJACSA.2024.0151070 PDF

71

Strength Calculation Method of Agricultural Machinery Structure Using Finite Element Analysis

Author 1: Jing Yang

Analyzing agricultural machinery strength through Finite Element Analysis (FEA) ensures robust design and performance. This method evaluates structural integrity, enhancing reliability and efficiency in agricultural operations. This paper presents a comprehensive finite element method (FEM) analysis focused on assessing the structural strength of a 3-point cultivator outfitted with seven tynes… Read full abstract & cite →

Agricultural machinery structure 3 point cultivator with 7-Tynes finite element analysis strength calculation

Abstract doi.org/10.14569/IJACSA.2024.0151071 PDF

72

Constructing Knowledge Graph in Blockchain Teaching Program Using Formal Concept Analysis

Author 1: Madina Mansurova Author 2: Assel Ospan Author 3: Dinara Zhaisanova

The rapid evolution of blockchain technology calls for innovative educational frameworks to effectively convey its complex principles and applications. This paper investigates the use of Formal Concept Analysis (FCA) for constructing knowledge graphs as part of a blockchain teaching program. FCA, grounded in lattice theory, provides a mathematical foundation for… Read full abstract & cite →

Knowledge graph formal concept analysis blockchain education curriculum optimization interactive learning tools

Abstract doi.org/10.14569/IJACSA.2024.0151072 PDF

73

Analysis of Influencing Factors of Tourist Attractions Accessibility Based on Machine Learning Algorithm

Author 1: Na Liu Author 2: Hai Zhang

Tourist attractions, defined by their cultural importance, aesthetic appeal, and recreational possibilities, are critical to the tourism industry. However, precisely evaluating tourism needs remains a difficult task, and research in this field is scarce. This research introduces an innovative remora-optimized adaptive XGBoost (RO-AXGBoost) model for predicting accessibility factors for tourist… Read full abstract & cite →

Tourist attractions factors tourism remora optimized adaptive XGBoost (RO-AXGBoost)

Abstract doi.org/10.14569/IJACSA.2024.0151073 PDF

74

A Smart Contract Approach for Efficient Transportation Management

Author 1: Abdullah Alshahrani Author 2: Ayman Khedr Author 3: Mohamed Belal Author 4: Mohamed Saleh

Transportation management in Egypt faces challenges such as congestion, inefficiency, and a lack of transparency. This work proposes a smart contract-based transportation framework to address these issues and enhance the efficiency of Egypt's transportation system. By leveraging blockchain technology, smart contracts can facilitate and enforce decentralized and immutable transportation agreements… Read full abstract & cite →

Blockchain cryptography logistics smart contracts transportation security and privacy supply chains

Abstract doi.org/10.14569/IJACSA.2024.0151074 PDF

75

Enhancing Educational Outcomes Through AI Powered Learning Strategy Recommendation System

Author 1: Daminda Herath Author 2: Chanuka Dinuwan Author 3: Charith Ihalagedara Author 4: Thanuja Ambegoda

In order to develop intelligent learning recommendation systems, the work identifies the employment of artificial intelligence (AI) techniques, particularly in the educational data mining (EDM) field. The aggregation of such educational data into an efficient analytical system could also assist as an interesting means of education for the students. In… Read full abstract & cite →

Artificial intelligence educational data mining educational strategies machine learning personalized recommendation student performance prediction

Abstract doi.org/10.14569/IJACSA.2024.0151075 PDF

76

Implementation of Lattice Theory into the TLS to Ensure Secure Traffic Transmission in IP Networks Based on IP PBX Asterisk

Author 1: Olga Abramkina Author 2: Mubarak Yakubova Author 3: Tansaule Serikov Author 4: Yenlik Begimbayeva Author 5: Bakhodyr Yakubov

This paper presents a novel lattice-based cryptography implementation in the Transport Layer Security (TLS) protocol to enhance the security of traffic transmission in IP networks that use the Asterisk IP PBX platform. Given the growing threat of quantum computing, traditional cryptographic methods are becoming increasingly vulnerable. To address this issue… Read full abstract & cite →

IP PBX Asterisk TLS MITM post-quantum cryptography

Abstract doi.org/10.14569/IJACSA.2024.0151076 PDF

77

Energy Optimization Management Scheme for Manufacturing Systems Based on BMAPPO: A Deep Reinforcement Learning Approach

Author 1: Zhe Shao

To address the depletion of traditional energy sources and the increasingly severe environmental pollution, countries around the world have accelerated the deployment of renewable energy generation equipment. Energy optimization management for microgrids can address the randomness of factors such as renewable energy generation and load, ensuring the safe and stable… Read full abstract & cite →

Microgrid energy optimization management deep reinforcement learning multi-agent Proximal Policy Optimization (PPO)

Abstract doi.org/10.14569/IJACSA.2024.0151077 PDF

78

Design Science Research: Applying Integrated Fogg Persuasive Frameworks to Validate Rural ICT Design Requirements

Author 1: Noela Jemutai Kipyegen Author 2: Benard Okelo

Designing for digital equality is critical in the modern world. Digital inequality is more pronounced in rural areas, where the majority are illiterate and poor. As a result of this, individuals are not motivated, enabled and triggered enough to access and use Information and Communication Technologies. Additionally, existing rural ICT… Read full abstract & cite →

Digital equality rural areas design requirements rural ICT artifacts validate Fogg frameworks design science research

Abstract doi.org/10.14569/IJACSA.2024.0151078 PDF

79

Brain Tumor Segmentation of Magnetic Resonance Imaging (MRI) Images Using Deep Neural Network Driven Unmodified and Modified U-Net Architecture

Author 1: Nunik Destria Arianti Author 2: Azah Kamilah Muda

Accurately separating healthy tissue from tumorous regions is crucial for effective diagnosis and treatment planning based on magnetic resonance imaging (MRI) data. Current manual detection methods rely heavily on human expertise, so MRI-based segmentation is essential to improving diagnostic accuracy and treatment outcomes. The purpose of this paper is to… Read full abstract & cite →

Accuracy brain tumor DNN U-Net architecture comparison performance

Abstract doi.org/10.14569/IJACSA.2024.0151079 PDF

80

Indoor Landscape Design and Environmental Adaptability Analysis Based on Improved Fuzzy Control

Author 1: Jinming Liu Author 2: Qian Hu Author 3: Pichai Sodbhiban

With the increasing demand for automation and intelligence in indoor landscape design, exploring efficient and precise control strategies has become particularly important. Robot-assisted technology and A* algorithm are utilized for indoor environment localization and mapping. Then, type-2 fuzzy adaptive fuzzy control is applied for indoor landscape automatic design. An improved… Read full abstract & cite →

Fuzzy control indoor landscape design environment adaptability analysis robot assisted

Abstract doi.org/10.14569/IJACSA.2024.0151080 PDF

81

Optimising Delivery Routes Under Real-World Constraints: A Comparative Study of Ant Colony, Particle Swarm and Genetic Algorithms

Author 1: Rneem I. Aldoraibi Author 2: Fatimah Alanazi Author 3: Haya Alaskar Author 4: Abed Alanazi

Effective logistics systems are essential for fast and economical package delivery, especially in urban areas. The intricate and ever-changing nature of urban logistics makes traditional methods insufficient. Hence, requirements for the application of sophisticated optimisation techniques have increased. To optimise package delivery routes, this study compares the performance of three… Read full abstract & cite →

Evolutionary algorithms genetic algorithm particle swarm optimisation ant colony optimisation urban logistics route optimisation

Abstract doi.org/10.14569/IJACSA.2024.0151081 PDF

82

Volleyball Motion Analysis Model Based on GCN and Cross-View 3D Posture Tracking

Author 1: Hongsi Han Author 2: Jinming Chang

The tracking of motion targets occupies a central position in sports video analysis. To further understand athletes' movements, analyze game strategies, and evaluate sports performance, a 3D posture estimation and tracking model is designed based on Graphical Convolutional Neural Network and the concept of "cross-vision". The outcomes revealed that the… Read full abstract & cite →

Graphical Convolutional Neural Network posture estimation volleyball motion analysis model 3D tracking

Abstract doi.org/10.14569/IJACSA.2024.0151082 PDF

83

A DECOC-Based Classifier for Analyzing Emotional Expressions in Emoji Usage on Social Media

Author 1: Shaya A. Alshaya

In today's digital era, social media has profoundly transformed communication, enabling new forms of emotional expression through various tools, particularly emojis. Initially created to represent simple emotions, emojis have evolved into a rich and nuanced visual language capable of conveying complex emotional states. While their role in communication is well-documented… Read full abstract & cite →

Component emojis social media communication whatsapp emotional expression machine learning DECOC classifier

Abstract doi.org/10.14569/IJACSA.2024.0151083 PDF

84

A Smart IoT System for Enhancing Safety in School Bus Transportation

Author 1: Yousef H. Alfaifi Author 2: Tareq Alhmiedat Author 3: Emad Alharbi Author 4: Ahad Awadh Al Grais Author 5: Maha Altalk Author 6: Abdelrahman Osman Elfaki

School districts globally implement comprehensive and expensive strategies to offer safe bus transportation to and from school. However, these technologies are unfeasible to schools with limited financial resources, thereby leaving students at risk of serious injury. This study focuses on five major obstacles to safe school transportation: 1) forgetting students… Read full abstract & cite →

IoT safety RFID school bus transportation

Abstract doi.org/10.14569/IJACSA.2024.0151084 PDF

85

Machine Learning Approaches Applied in Smart Agriculture for the Prediction of Agricultural Yields

Author 1: Abourabia. Imade Author 2: Ounacer. Soumaya Author 3: Elghoumari. Mohammed yassine Author 4: Azzouazi. Mohamed

Machine learning techniques in smart agriculture for yield prediction involve using algorithms to analyze historical and real-time data to forecast crop yields. These approaches aim to optimize agricultural practices, improve resource efficiency and enhance productivity, this paper reviews the application of machine learning techniques in smart agriculture for predicting agricultural… Read full abstract & cite →

Machine learning IOT artificial intelligence agricultural yields smart agriculture CNN ViT-B16

Abstract doi.org/10.14569/IJACSA.2024.0151085 PDF

86

K-Means and Morphology Based Feature Element Extraction Technique for Clothing Patterns and Lines

Author 1: Xiaojia Ding

In the process of clothing design and production, the traditional artificial feature element extraction method has the problems of low efficiency and insufficient precision, which is difficult to meet the automation and intelligent needs of modern clothing industry. In order to solve this problem, this paper proposes a technology that… Read full abstract & cite →

K-means morphological algorithm feature extraction

Abstract doi.org/10.14569/IJACSA.2024.0151086 PDF

87

Simulation Analysis of Obstacle Crossing Stability for Transmission Line Inspection Robot

Author 1: Qianli Wang

As an indispensable energy source in production and daily life, electricity has important implications in the operation of society and economic development. As the hub of power transmission, the safety of transmission lines is related to the stability of the power grid. Regular inspection of transmission lines is an effective… Read full abstract & cite →

Transmission line inspection robot obstacle crossing path kinematic analysis bidirectional fast expanding random tree

Abstract doi.org/10.14569/IJACSA.2024.0151087 PDF

88

Precision Machining of Hard-to-Cut Materials: Current Status and Future Directions

Author 1: Tengjiao CUI

Machining difficult materials like superalloys, ceramics, and composites is fundamental in industries where performance is paramount, such as the auto industry, aerospace, and medicine. These materials with relatively high strength, hardness, and high-temperature capabilities pose difficulties in machining, thus calling for improved precision machining technologies. This survey paper presents a… Read full abstract & cite →

Precision machining hard-to-cut materials cutting tools machining processes emerging technologies

Abstract doi.org/10.14569/IJACSA.2024.0151088 PDF

89

Analyzing VGG-19’s Bias in Facial Beauty Prediction: Preference for Feminine Features

Author 1: Nuno Fernandes Author 2: Sandra Soares Author 3: Joana Arantes

From an evolutionary perspective, sexual dimorphism has been linked to perceived attractiveness, with masculine traits preferred in men and feminine traits in women. Moreover, symmetry is a strong predictor of facial attractiveness across both sexes. Recent advancements in the field of artificial intelligence have enabled algorithms to accurately predict facial… Read full abstract & cite →

Deep learning facial attractiveness sexual dimorphism symmetry VGG-19

Abstract doi.org/10.14569/IJACSA.2024.0151089 PDF

90

Real-Time Self-Localization and Mapping for Autonomous Navigation of Mobile Robots in Unknown Environments

Author 1: Serik Tolenov Author 2: Batyrkhan Omarov

This paper delves into the progressive design and operational capabilities of advanced robotic platforms, highlighting their adaptability, precision, and utility in diverse industrial settings. Anchored by a robust modular design, these platforms integrate sophisticated sensor arrays, including LiDAR for enhanced spatial navigation, and articulated limbs for complex maneuverability, reflecting significant… Read full abstract & cite →

Robotic platforms automation technology LiDAR navigation system integration artificial intelligence Internet of Things human-robot interaction

Abstract doi.org/10.14569/IJACSA.2024.0151090 PDF

91

Optimizing LSTM-Based Model with Ant-Lion Algorithm for Improving Thyroid Prognosis

Author 1: Maria Yousef

In the healthcare sector, early and accurate disease detection is essential for providing appropriate care on time. This is especially crucial in thyroid problems, which can be difficult to diagnose because of their many symptoms. This study aims to propose a new thyroid disease prediction model by utilizing the Ant… Read full abstract & cite →

Thyroid disease LSTM ALO prediction model optimization algorithm

Abstract doi.org/10.14569/IJACSA.2024.0151091 PDF

92

Balancing Privacy and Performance: Exploring Encryption and Quantization in Content-Based Image Retrieval Systems

Author 1: Mohamed Jafar Sadik Author 2: Noor Azah Samsudin Author 3: Ezak Fadzrin Bin Ahmad

This paper presents three significant contributions to the field of privacy-preserving Content-Based Image Retrieval (CBIR) systems for medical imaging. First, we introduce a novel framework that integrates VGG-16 Convolutional Neural Network with a multi-tiered encryption scheme specifically designed for medical image security. Second, we propose an innovative approach to model… Read full abstract & cite →

Content-Based Image Retrieval (CBIR) Convolutional Neural Networks (CNN): Encrypted data Feature extraction Fully Homomorphic Encryption (FHE) medical imaging privacy quantization retrieval accuracy

Abstract doi.org/10.14569/IJACSA.2024.0151092 PDF

93

Tracking Computer Vision Algorithm Based on Fusion Twin Network

Author 1: Xin Wang

Deep learning technology has promoted the rapid development of visual object tracking, among which algorithms based on twin networks are a hot research direction. Although this method has broad application prospects, its performance is often greatly reduced when encountering target occlusion or similar objects in the background. In response to… Read full abstract & cite →

Visual tracking twin network integration attention mechanism self-adaption

Abstract doi.org/10.14569/IJACSA.2024.0151093 PDF

94

Graph Neural Networks and Dominant Set Algorithms for Energy-Efficient Internet of Things Environments: A Review

Author 1: Dezhi Liao Author 2: Xueming Huang

The widespread usage of Internet of Things (IoT) devices opens up new opportunities for automated operations, monitoring, and communications across various industries. However, extending the lifespan of IoT networks remains crucial because IoT devices are energy-limited. This study investigates the convergence of Graph Neural Networks (GNNs) and dominant set algorithms… Read full abstract & cite →

Internet of Things energy efficiency dominant set Graph Neural Networks

Abstract doi.org/10.14569/IJACSA.2024.0151094 PDF

95

Development of Traffic Light and Road Sign Detection and Recognition Using Deep Learning

Author 1: Joseph M. De Guia Author 2: Madhavi Deveraj

Traffic light and road sign violations significantly contribute to traffic accidents, particularly at intersections in high-density urban areas. To address these challenges, this research focuses on enhancing the accuracy, robustness, and reliability of Autonomous Vehicle (AV) perception systems using advanced deep learning techniques. The novelty of this study lies in… Read full abstract & cite →

Artificial intelligence autonomous vehicle traffic light recognition road sign detection YOLO real-time object detection

Abstract doi.org/10.14569/IJACSA.2024.0151095 PDF

96

Smart X-Ray Geiger Data Logger: An Integrated System for Detection, Control, and Dose Evaluation

Author 1: Lhoucine Ben Youssef Author 2: Abdelmajid Bybi Author 3: Hilal Drissi Author 4: El Ayachi Chater

X-ray dosimetry practices are guided by international standards and regulatory agencies to ensure the safety of patients, radiation workers, and the general public. This paper introduces the Smart X-ray Geiger Data Logger, a comprehensive system designed to enhance radiation safety through integrated detection, control, and dose evaluation. This study is… Read full abstract & cite →

X-rays radiation dose radiation safety exposure risk assessment Geiger-Müller tube medical imaging real-time monitoring smart devices

Abstract doi.org/10.14569/IJACSA.2024.0151096 PDF

97

A Feature Map Adversarial Attack Against Vision Transformers

Author 1: Majed Altoub Author 2: Rashid Mehmood Author 3: Fahad AlQurashi Author 4: Saad Alqahtany Author 5: Bassma Alsulami

Image classification is a domain where Deep Neural Networks (DNNs) have demonstrated remarkable achievements. Recently, Vision Transformers (ViTs) have shown potential in handling large-scale image classification challenges by efficiently scaling to higher resolutions and accommodating larger input sizes compared to traditional Convolutional Neural Networks (CNNs). However, in the context of… Read full abstract & cite →

Vision transformers adversarial attacks DNNs vulnerabilities feature maps perturbations spatial domains frequency domains

Abstract doi.org/10.14569/IJACSA.2024.0151097 PDF

98

Backbone Feature Enhancement and Decoder Improvement in HRNet for Semantic Segmentation

Author 1: HanLei Feng Author 2: TieGang Zhong

Addressing issues such as the tendency for small-scale objects to be lost, incomplete segmentation of large-scale objects, and overall low segmentation accuracy in existing semantic segmentation models, an improved HRNet network model is proposed. Firstly, by introducing multi-branch deep stripe convolutions, features of multi-scale objects are adaptively extracted using convolutional… Read full abstract & cite →

Semantic segmentation HRNet multi-branch deep strided convolution axial attention mechanism progressive fusion upsampling multi-scale object adaptability

Abstract doi.org/10.14569/IJACSA.2024.0151098 PDF

99

Machine Learning Approach to Identify Promising Mountain Hiking Destinations Using GIS and Remote Sensing

Author 1: Lahbib Naimi Author 2: Charaf Ouaddi Author 3: Lamya Benaddi Author 4: El Mahi Bouziane Author 5: Abdeslam Jakimi Author 6: Mohamed Manaouch

The objective of this study is to address the complex task of identifying optimal locations for mountain hiking sites in the Eastern High Atlas region of Morocco, considering topographical factors. The study assesses the effectiveness of a commonly used machine learning classifier (MLC) in mapping potential mountain hiking areas, which… Read full abstract & cite →

Machine learning mountain hiking AI-based tourism GIS remote sensing tourism bagging algorithm decision-making

Abstract doi.org/10.14569/IJACSA.2024.0151099 PDF

100

Pioneering Granularity: Advancing Native Language Identification in Ultra-Short EAP Texts

Author 1: Zhendong Du Author 2: Kenji Hashimoto

This study addresses the challenge of Native Language Identification (NLI) in ultra-short English for Academic Purposes (EAP) texts by proposing an innovative two-stage recognition method. Conventional views suggest that ultra-short texts lack sufficient linguistic features for effective NLI. However, we have found that even in such brief texts, subtle linguistic… Read full abstract & cite →

Native language identification English for academic purposes natural language processing

Abstract doi.org/10.14569/IJACSA.2024.01510100 PDF

101

Feature Creation to Enhance Explainability and Predictability of ML Models Using XAI

Author 1: Waseem Ahmed

Bringing more transparency to the decision making process in fields deploying ML tools is important in various fields. ML tools need to be designed in such a way that they are more understandable and explainable to end users while bringing trust. The field of XAI, although a mature area of… Read full abstract & cite →

XAI ML AI Recruitment

Abstract doi.org/10.14569/IJACSA.2024.01510101 PDF

102

Secret Sharing as a Defense Mechanism for Ransomware in Cloud Storage Systems

Author 1: Shuaib A Wadho Author 2: Sijjad Ali Author 3: Asma Ahmed A. Mohammed Author 4: Aun Yichiet Author 5: Ming Lee Gan Author 6: Chen Kang Lee

Ransomware is a prevalent and highly destructive type of malware that has increasingly targeted cloud storage systems, leading to significant data loss and financial damage. Conventional security mechanisms, such as firewalls, antivirus software, and backups, have proven inadequate in preventing ransomware attacks, highlighting the need for more robust solutions. This… Read full abstract & cite →

Ransomware secret sharing cloud storage data leakage reliability

Abstract doi.org/10.14569/IJACSA.2024.01510102 PDF

103

Core Scheduler Task Duplication for Multicore Multiprocessor System

Author 1: Aya A. Eladgham Author 2: Nesreen I. Ziedan Author 3: Ibrahim Ziedan

The increasing complexity of multi-core multiprocessor systems presents significant challenges in task scheduling. The scheduling of tasks across multiple cores remains a significant challenge due to its NP-complete nature, especially with the in-creasing complexity of multi-core / multi-processors architectures. This paper focuses on Multi-Core Oriented (MCO) scheduling algorithms, which specifically… Read full abstract & cite →

MultiCore multiprocessor DAG scheduling dynamic priority task duplication clustering MCP

Abstract doi.org/10.14569/IJACSA.2024.01510103 PDF

104

Enhancing Skin Cancer Detection with Transfer Learning and Vision Transformers

Author 1: Istiak Ahmad Author 2: Bassma Saleh Alsulami Author 3: Fahad Alqurashi

Early and accurate detection of skin cancer is critical for effective treatment. This research aims to enhance skin cancer multi-class classification using transfer learning and Vision Transformers (ViTs), addressing the challenges of imbalanced medical imaging data. We introduced data augmentation techniques to the HAM10000 dataset to enhance the diversity of… Read full abstract & cite →

Medical imaging skin cancer multi-class classification detection deep learning transfer learning vision transformer

Abstract doi.org/10.14569/IJACSA.2024.01510104 PDF

105

Accurate Head Pose Estimation-Based SO(3) and Orientation Tokens for Driver Distraction Detection

Author 1: Xiong Zhao Author 2: Sarina Sulaiman Author 3: Wong Yee Leng

Driver distraction is an important cause of traffic accidents. By identifying and analyzing the driver’s head posture through monitor images, the driver’s mental state can be effectively judged, and early warnings or reminders can be given to reduce traffic accidents. We propose a novel dual-branch network named TokenFOE that combines… Read full abstract & cite →

Head pose driver distraction detection rotation matrix token transformer

Abstract doi.org/10.14569/IJACSA.2024.01510105 PDF

106

Predicting the Most Suitable Delivery Method for Pregnant Women by Using the KGC Ensemble Algorithm in Machine Learning

Author 1: Pusarla Sindhu Author 2: Parasana Sankara Rao

Maternal and neonatal mortality rates pose a significant challenge in healthcare systems worldwide. Predicting the childbirth approach is essential for safeguarding the mother’s and child’s well-being. Currently, it is dependent on the judgment of the attending obstetrician. However, selecting the incorrect delivery method can cause serious health complications both in… Read full abstract & cite →

Delivery method stacking neonatal mortality KGC ensemble algorithm

Abstract doi.org/10.14569/IJACSA.2024.01510106 PDF

107

MH-LViT: Multi-path Hybrid Lightweight ViT Models with Enhancement Training

Author 1: Yating Li Author 2: Wenwu He Author 3: Shuli Xing Author 4: Hengliang Zhu

Vision Transformers (ViTs) have become increasingly popular in various vision tasks. However, it also becomes challenging to adapt them to applications where computation resources are very limited. To this end, we propose a novel multi-path hybrid architecture and develop a series of lightweight ViT (MH-LViT) models to balance well performance… Read full abstract & cite →

Multi-path hybrid lightweight ViT normalized knowledge distillation Mixup regularization

Abstract doi.org/10.14569/IJACSA.2024.01510107 PDF

108

Enhanced Fish Species Detection and Classification Using a Novel Deep Learning Approach

Author 1: Musab Iqtait Author 2: Marwan Harb Alqaryouti Author 3: Ala Eddin Sadeq Author 4: Ahmad Aburomman Author 5: Mahmoud Baniata Author 6: Zaid Mustafa Author 7: Huah Yong Chan

This study presents an innovative deep learning approach for accurate fish species detection and classification in underwater environments. We introduce FishNet, a novel convolutional neural network architecture that combines attention mechanisms, transfer learning, and data augmentation techniques to improve fish recognition in challenging aquatic conditions. Our method was evaluated on… Read full abstract & cite →

Deep learning Fish4Knowledge classification

Abstract doi.org/10.14569/IJACSA.2024.01510108 PDF

109

Reducing Traffic Congestion Using Real-Time Traffic Monitoring with YOLOv8

Author 1: Sameerchand Pudaruth Author 2: Irfaan Mohammad Boodhun Author 3: Choo Wou Onn

The voluminous number of vehicles present on principal roads together with ongoing road expansion projects are triggering serious roadblocks during peak hours in many places in Mauritius. Consequently, an innovative solution has been proposed using the strength of deep learning neural networks and cutting-edge computer vision methodologies to help reduce… Read full abstract & cite →

Computer vision deep learning vehicle detection and tracking traffic accidents traffic congestion

Abstract doi.org/10.14569/IJACSA.2024.01510109 PDF

110

Enhancing Credit Card Fraud Detection Using a Stacking Model Approach and Hyperparameter Optimization

Author 1: El Bazi Abdelghafour Author 2: Chrayah Mohamed Author 3: Aknin Noura Author 4: Bouzidi Abdelhamid

Credit card fraud detection has emerged as a crucial area of study, especially with the rise in online transactions coupled with increased financial losses from fraudulent activities. In this regard, a refined framework for identifying credit card fraud is introduced, utilizing a stacking ensemble model along with hyperparameter optimization. This… Read full abstract & cite →

Credit card fraud detection stacking models hyperparameter tuning logistic regression ensemble learning

Abstract doi.org/10.14569/IJACSA.2024.01510110 PDF

111

Towards Interpretable Diabetic Retinopathy Detection: Combining Multi-CNN Models with Grad-CAM

Author 1: Zakaria Said Author 2: Fatima-Ezzahraa Ben-Bouazza Author 3: Mounir Mekkour

Diabetic retinopathy (DR) is a leading cause of vision impairment and blindness, necessitating accurate and early detection to prevent severe outcomes. This paper discusses the utility of ensemble learning methodologies in enhancing the prediction accuracy of Diabetic Retinopathy detection from retinal images and the prospective utilization of Gradient-weighted Class Activation… Read full abstract & cite →

Diabetic retinopathy retinal images Grad-CAM weighted voting meta-learners

Abstract doi.org/10.14569/IJACSA.2024.01510111 PDF

112

Breast Tumor Classification Using Dynamic Ultrasound Sequence Pooling and Deep Transformer Features

Author 1: Mohamed A Hassanien Author 2: Vivek Kumar Singh Author 3: Mohamed Abdel-Nasser Author 4: Domenec Puig

Breast ultrasound (BUS) imaging is widely utilized for detecting breast cancer, one of the most life-threatening cancers affecting women. Computer-aided diagnosis (CAD) systems can assist radiologists in diagnosing breast cancer; however, the performance of these systems can be degrade by speckle noise, artifacts, and low contrast in BUS images. In… Read full abstract & cite →

Breast ultrasound breast cancer CAD systems deep learning vision transformer

Abstract doi.org/10.14569/IJACSA.2024.01510112 PDF

113

Classification of Moroccan Legal and Legislative Texts Using Machine Learning Models

Author 1: Amina BOUHOUCHE Author 2: Mustapha ESGHIR Author 3: Mohammed ERRACHID

Artificial intelligence tools have revolutionized many fields, bringing significant progress in automating tasks and solving complex problems. In this article, we focus on the legal domain, where the data to be processed are specific and in large quantities. Our study consists in carrying out an automatic classification of Moroccan legal… Read full abstract & cite →

Classification Arabic text natural language processing legal data machine learning

Abstract doi.org/10.14569/IJACSA.2024.01510113 PDF

114

ERCO-Net: Enhancing Image Dehazing for Optimized Detail Retention

Author 1: Muhammad Ayub Sabir Author 2: Fatima Ashraf Author 3: Ahthasham Sajid Author 4: Nisreen Innab Author 5: Reem Alrowili Author 6: Yazeed Yasin

Image dehazing is a crucial preprocessing step in computer vision for enhancing image quality and enabling many downstream applications. However, existing methods often do not accurately restore hazy images while maintaining computational efficiency. To overcome this challenge, we propose ERCO-Net a new fusion framework that combines edge restriction and contextual… Read full abstract & cite →

Image dehazing edge restriction contextual optimization transmission map estimation haze removal

Abstract doi.org/10.14569/IJACSA.2024.01510114 PDF

115

Optimizing Text Summarization with Sentence Clustering and Natural Language Processing

Author 1: Zahir Edress Author 2: Yasin Ortakci

Text summarization is an important task in natural language processing (NLP), with significant implications for information retrieval and content management. Traditional summarization methods often struggle with issues like redundancy, loss of key information, and inability to capture the underlying semantic structure of the text. This paper addresses these challenges by… Read full abstract & cite →

Abstractive summarization extractive summarization sentence clustering language understanding information retrieval

Abstract doi.org/10.14569/IJACSA.2024.01510115 PDF

116

Hiding Encrypted Images in Audios Based on Cellular Automatas and Discrete Fourier Transform

Author 1: Jose Alva Cornejo Author 2: Esdras D. Vasquez Author 3: Jose Calizaya Quispe Author 4: Roxana Flores-Quispe Author 5: Yuber Velazco-Paredes

With the increasing need for secure long-distance communication, protecting sensitive information such as images during transmission remains a significant challenge. This paper proposes a new method for hiding encrypted images inside audio files by integrating Cellular Automata (CA) and the Discrete Fourier Transform (DFT). The primary aim is to enable… Read full abstract & cite →

Cellular automaton Fourier Transform cryptography synchronization stenography embedding

Abstract doi.org/10.14569/IJACSA.2024.01510116 PDF

117

DBPF: An Efficient Dynamic Block Propagation Framework for Blockchain Networks

Author 1: Osama Farouk Author 2: Mahmoud Bakrey Author 3: Mohamed Abdallah

Scalability poses a significant challenge in blockchain networks, particularly in optimizing the propagation time of new blocks. This paper introduces an approach, termed “DBPF” - Dynamic Block Propagation Framework for Blockchain Networks, aimed at addressing this challenge. The approach focuses on optimizing neighbor selection during block propagation to mitigate redundancy… Read full abstract & cite →

Blockchain scalability minimum spanning tree compression broadcasting optimized neighbor selection network bandwidth transmission time optimization

Abstract doi.org/10.14569/IJACSA.2024.01510117 PDF

118

Skin Diseases Classification with Machine Learning and Deep Learning Techniques: A Systematic Review

Author 1: Amina Aboulmira Author 2: Hamid Hrimech Author 3: Mohamed Lachgar

Skin cancer is one of the most prevalent types of cancer worldwide, and its early detection is crucial for improving patient outcomes. Artificial Intelligence (AI) has shown significant promise in assisting dermatologists with accurate and efficient diagnosis through automated skin disease classification. This systematic review aims to provide a comprehensive… Read full abstract & cite →

Skin Disease Classification Artificial Intelligence (AI) Convolutional Neural Networks (CNNs) Transformer-based Models Generative Adversarial Networks (GANs) ensemble learning hybrid models ISIC dataset dermatology machine learning deep learning skin cancer detection dermoscopic images medical imaging systematic review

Abstract doi.org/10.14569/IJACSA.2024.01510118 PDF

119

An Investigation into the Risk Factors of Forest Fires and the Efficacy of Machine Learning Techniques for Early Detection

Author 1: Asma Cherif Author 2: Sara Chaudhry Author 3: Sabina Akhtar

Forest fires are a major environmental hazard that can have significant impacts on human lives. Early detection and swift action are crucial for controlling such situations and minimizing damage. However, the automatic tools based on local sensors in meteorological stations are often insufficient for detecting fires immediately. Machine learning offers… Read full abstract & cite →

Machine Learning Forest Fire LSTM ARIMA SVR

Abstract doi.org/10.14569/IJACSA.2024.01510119 PDF

120

Revolutionizing Historical Document Digitization: LSTM-Enhanced OCR for Arabic Handwritten Manuscripts

Author 1: Safiullah Faizullah Author 2: Muhammad Sohaib Ayub Author 3: Turki Alghamdi Author 4: Toqeer Syed Ali Author 5: Muhammad Asad Khan Author 6: Emad Nabil

Optical Character Recognition (OCR) holds immense practical value in the realm of hand-written document analysis, given its widespread use in various human transactions. This scientific process enables the conversion of diverse documents or images into analyzable, editable, and searchable data. In this paper, we present a novel approach that combines… Read full abstract & cite →

Optical character recognition transfer learning Arabic OCR image processing classification convolutional neural network

Abstract doi.org/10.14569/IJACSA.2024.01510120 PDF

121

A Secure Scheme to Counter the Man in the Middle Attacks in SDN Networks-Based Domain Name System

Author 1: Frank Manuel Vuide Pangop Author 2: Miguel Landry Foko Sindjoung Author 3: Mthulisi Velempini

Internet and computer networks are vulnerable to cyber-attacks which compromise the services they provide to facilitate the management of data and users. The domain name system (DNS) is the Internet service that translates domain names and computer IP addresses and IPs to domain names. DNS is sometimes a victim of… Read full abstract & cite →

Cyber security domain name system man in the middle attack software defined networking

Abstract doi.org/10.14569/IJACSA.2024.01510121 PDF

122

Efficient Load-Balancing and Container Deployment for Enhancing Latency in an Edge Computing-Based IoT Network Using Kubernetes for Orchestration

Author 1: Garrik Brel Jagho Mdemaya Author 2: Milliam Maxime Zekeng Ndadji Author 3: Miguel Landry Foko Sindjoung Author 4: Mthulisi Velempini

Edge Computing (EC) provides computational and storage resources close to data-generating devices, and reduces end-to-end latency for communications between end-devices and the remote servers. In smart cities (SC) for example, thousands of applications are running on edge servers, and it becomes crucial to manage resource allocation and load balancing to… Read full abstract & cite →

Latency Kubernetes edge computing Internet of Things load-balancing

Abstract doi.org/10.14569/IJACSA.2024.01510122 PDF

123

Advanced Techniques for Optimizing Demand-Side Management in Microgrids Through Load-Based Strategies

Author 1: Ramia Ouederni Author 2: Bechir Bouaziz Author 3: Faouzi Bacha

Microgrids are crucial for ensuring reliable electricity in remote areas, but integrating renewable sources like photovoltaic (PV) systems presents challenges due to supply intermittency and demand fluctuations. Demand-side management (DSM) addresses these issues by adjusting consumption patterns. This article explores a DSM strategy combining load shifting (shifting demand to periods… Read full abstract & cite →

Demand side management microgrid load shifting peak clipping valley fill

Abstract doi.org/10.14569/IJACSA.2024.01510123 PDF

124

Ensemble of Weighted Code Mixed Feature Engineering and Machine Learning-Based Multiclass Classification for Enhanced Opinion Mining on Unstructured Data

Author 1: Ruchi Sharma Author 2: Pravin Shrinath

There is an exponential growth of opinions on online platforms, and the rapid rise in communication technologies generates a significant need to analyze opinions in online social networks (OSN). However, these opinions are unstructured, rendering knowledge extraction from opinions complex and challenging to implement. Although existing opinions mining systems are… Read full abstract & cite →

Opinion mining Machine learning weighted ensemble code mixed Natural Language Processing Business Intelligence Online Social Networks

Abstract doi.org/10.14569/IJACSA.2024.01510124 PDF