IJACSA Vol. 16 Issue 3 (2025)

1

Federated Learning-Driven Privacy-Preserving Framework for Decentralized Data Analysis and Anomaly Detection in Contract Review

Author 1: Raj Sonani Author 2: Vijay Govindarajan Author 3: Pankaj Verma

Contract review is a critical legal task that involves several processes such as compliance validation, clause classification, and anomaly detection. Traditional, centralized models for the analysis of contracts raise significant data privacy and compliance challenges due to the highly sensitive nature of legal documents. This paper proposes a contract review-oriented… Read full abstract & cite →

Federated learning privacy preservation clause classification compliance validation anomaly detection

Abstract doi.org/10.14569/IJACSA.2025.0160301 PDF

2

Distributed Identity for Zero Trust and Segmented Access Control: A Novel Approach to Securing Network Infrastructure

Author 1: Sina Ahmadi

Distributed Identity is the transition from centralized identity with Decentralized Identifiers (DID) and Verifiable Credentials (VC) for secure and privacy positive authentications. With distributed identity, identity data is brought back under the control of the user, freeing them from the single point of failure presented by credentials, and hence preventing… Read full abstract & cite →

Distributed identity ZTA DID VC lateral movement privacy credential security

Abstract doi.org/10.14569/IJACSA.2025.0160302 PDF

3

A Novel System for Managing Encrypted Data Using Searchable Encryption Techniques

Author 1: Vijay Govindarajan

The motivation for this study arises; from the insufficient security measures provided by cloud service providers, particularly with regard to data integrity and confidentiality. In today’s digital landscape, nearly every international organization stores data in the cloud, whether through in-house servers or third-party providers. While encrypting data prior to storage… Read full abstract & cite →

Cloud service providers encrypting security web-based platform

Abstract doi.org/10.14569/IJACSA.2025.0160303 PDF

4

Emotional Engagement and Teaching Innovations for Deep Learning and Retention in Education: A Literature Review

Author 1: Samer Alhebaishi Author 2: Richard Stone Author 3: Mohammed Ameen

The goal of this examination is to identify key factors that enhance educational settings through innovative teaching methods and the integration of technology, emphasizing the transformative role of digital tools, particularly in mathematics and science education, and their impact on student engagement, problem-solving skills, and conceptual understanding. The increasing digitalization… Read full abstract & cite →

Emotional engagement pedagogical recall long-term knowledge retention augmented reality in education blended learning

Abstract doi.org/10.14569/IJACSA.2025.0160304 PDF

5

A Hybrid AI-Based Risk Assessment Framework for Sustainable Construction: Integrating ANN, Fuzzy Logic, and IoT

Author 1: André Luís Barbosa Gomes Góes Author 2: Rafaqat Kazmi Author 3: Aqsa Author 4: Siddhartha Nuthakki

The construction industry is central to the advancement of economic growth all over the world but it has various problems in risk management especially concerning sustainable construction projects. Standard risk management techniques like AHP and Monte Carlo simulation do not afford the flexibility and accuracy needed in construction sites. Based… Read full abstract & cite →

Risk assessment sustainable construction artificial neural networks fuzzy logic predictive analytics

Abstract doi.org/10.14569/IJACSA.2025.0160305 PDF

6

Smart Insoles for Multi-User Monitoring: A Case Study on Received Signal Strength Indicator-Based Distance Measurement

Author 1: Victor Huilca Cabay Author 2: Alexandra Flores Author 3: Paul Hernan Machado Herrera Author 4: Byron Paul Huera Paltan

In the current context of high adoption of wearables and Internet of Things (IoT) devices, this work develops a smart insole system to measure the distance between users using the RSSI signal (Received Signal Strength Indicator). ESP32 WROOM microcontrollers with Bluetooth Low Energy, Wi-Fi, and multiple functionalities were used. The… Read full abstract & cite →

Internet of Things RSSI smart insole distance wearables neural network

Abstract doi.org/10.14569/IJACSA.2025.0160306 PDF

7

Privacy Protection in JPEG XS: A Lightweight Spatio-Color Scrambling Approach

Author 1: Takayuki Nakachi Author 2: Yasuhisa Kato Author 3: Mitsuru Maruyama

This paper presents a lightweight JPEG XS coding scheme incorporating spatio-color scrambling for privacy protection. The proposed approach follows an Encryption-then-Compression (EtC) framework, maintaining compatibility with the JPEG XS standard. Prior to encoding, input images undergo scrambling operations, including line permutation, line reversal, and color permutation. Security analysis indicates that… Read full abstract & cite →

JPEG XS UHD video Encryption-then-Compression privacy protection perceptual scrambling

Abstract doi.org/10.14569/IJACSA.2025.0160307 PDF

8

Knowledge Management Application for Small and Medium-Sized Service-Oriented Enterprises Based on the SECI Model

Author 1: Chen Chang Author 2: Manabu Sawaguchi Author 3: Yasuaki Mori

This paper analyzes the current situation and development bottlenecks of small and medium-sized service industry enterprises using the T nail salon as an example. It emphasizes the importance of knowledge management and proposes the need to establish a knowledge system within the company that combines both humanistic and technological aspects… Read full abstract & cite →

Knowledge management Socialization Externalization Combination Internalization (SECI) nail salon Small and Medium-Sized Enterprises (SMEs)

Abstract doi.org/10.14569/IJACSA.2025.0160308 PDF

9

A Model for Simulation of the Energy Flows in a Heat Pipe Solar Collector

Author 1: Boris Evstatiev Author 2: Nadezhda Evstatieva

The domestic sector is one of the major energy consumers and hot water is a compulsory service in modern society. Therefore, one of the possibilities for reducing energy expenses is heating water using solar collectors. However, the optimization of such installations requires careful planning and preliminary simulations. This study presents… Read full abstract & cite →

Model simulation heat pipe solar collector useful power

Abstract doi.org/10.14569/IJACSA.2025.0160309 PDF

10

Evaluation of the Usability and User Experience of a Digital Platform for Mental Health Assessment

Author 1: Jerina Jean M. Ecleo Author 2: Mia Amor C. Tinam-isan Author 3: Kristine Mae E. Galera Author 4: Ric Adrian C. Balaton Author 5: Imelu G. Mordeno Author 6: Cenie M. Vilela-Malabanan

This study evaluated the usability and user experience of a mental health digital platform among college students. Usability tests were conducted using quantitative measures, user feedback, and direct observations. User experience is also aimed at gaining insights of what works and what does not work in the system. A total… Read full abstract & cite →

Mental health usability testing user experience mental health assessment digital platform

Abstract doi.org/10.14569/IJACSA.2025.0160310 PDF

11

Development of an Algorithm-Based Analysis and Compression Integrated Communication Tracking Management Information System (iCTMIS)

Author 1: Carlo Jude P. Abuda Author 2: Ritchell S. Villafuerte

This study addresses the challenges of administrative tasks and communication tracking at Visayas State University Alangalang (VSUA), highlighting the inefficiencies in the current manual processes. The objective is to develop an Integrated Communication Tracking Management Information System (iCTMIS) that enhances operational efficiency by integrating Optical Character Recognition (OCR) and Lempel-Ziv-Welch… Read full abstract & cite →

Information system optical character recognition Lempel-Ziv-welch lossless compression zlib compression communication tracking

Abstract doi.org/10.14569/IJACSA.2025.0160311 PDF

12

Implementation of a Web System to Optimize the Quotation Process in the Company KSF Representaciones EIRL, 2022

Author 1: Betsy Nataly Llacchuarimay-De La Cruz Author 2: Segundo Alexandher Gutierrez Argomedo Author 3: Luis Alberto Torres-Cabanillas

This research seeks to demonstrate whether the implementation of a web-based system influences the optimization of activities related to the quoting process, saving time and money for KSF Representaciones EIRL. Therefore, the following question arises: To what extent does the implementation of a web-based system optimize the quoting process? This… Read full abstract & cite →

Web system optimization quotation customer satisfaction efficiency

Abstract doi.org/10.14569/IJACSA.2025.0160312 PDF

13

Application of the Business Process Management (BPM) Methodology in the Process of Incorporating Human Talent in the Retail Business Sector

Author 1: Anyela Alanya-Ramos Author 2: Argenis Moreno-Rosales Author 3: Luis Acosta-Medina

The lack of a well-defined onboarding process for new talent in a retail company specializing in beauty products and accessories for women has generated the need to undertake this research. The objective of which was to evaluate the positive impact that the implementation of business process management (BPM) could generate… Read full abstract & cite →

BPM human talent incorporation process process optimization methodology

Abstract doi.org/10.14569/IJACSA.2025.0160313 PDF

14

Security Onion as a Network Auditing Tool at the San Cristóbal de Huamanga National University

Author 1: Kimberlly Nena Barraza Tudela Author 2: Hubner Janampa Patilla

In a context of evolving cyber threats, the San Cristobal de Huamanga National University (UNSCH) faces the need to improve its network security infrastructure. This study implements Security Onion as a network auditing tool at this institution with the objective of evaluating its effectiveness in three key areas: security monitoring… Read full abstract & cite →

Network security network auditing Security Onion IDS CIS Controls

Abstract doi.org/10.14569/IJACSA.2025.0160314 PDF

15

Business Intelligence in Public Management

Author 1: Javier Benavides-Redhead Author 2: Jenny Gutiérrez-Flores

The present research seeks to demonstrate the improvement of the visualization of indicators applying Business Intelligence in the district municipality of Lince. The entity has among its different institutional objectives to strengthen the modernization of the administrative and functional systems of institutional management. The research was proposed as an applied… Read full abstract & cite →

Business intelligence municipality taxation decision making indicators public management information presentation technology tool modernization productivity

Abstract doi.org/10.14569/IJACSA.2025.0160315 PDF

16

Bioplastic Thickness Estimation Using Terahertz Time-Domain Spectroscopy and Machine Learning

Author 1: Juan-Jes´us Garrido-Arismendis Author 2: Luis Juarez Author 3: Jorge Mogollon Author 4: Brenda Acevedo-Ju´arez Author 5: Himer Avila-George Author 6: Wilson Castro

In the sustainable packaging industry, multiple parameters require regulation to achieve a high-quality final product that meets contemporary demands. In bioplastic manufacturing, the control of the film thickness is critical because it in-fluences the mechanical properties and other key characteristics. Terahertz time-domain spectroscopy (THz-TDS) has emerged as a promising technology… Read full abstract & cite →

Terahertz spectroscopy machine learning chemo-metrics thickness bioplastic

Abstract doi.org/10.14569/IJACSA.2025.0160316 PDF

17

Optimization of IIR Digital Filters Using Differential Evolution: A Comparative Analysis of FDDE and AMECoDEs Algorithms

Author 1: Wildor Ferrel Serruto

Infinite impulse response (IIR) digital filters are fundamental components in various digital signal processing applications, particularly those requiring optimized use of computational resources, such as memory and processing power. This study presents the design of classical IIR filters, including low-pass, high-pass, band-pass, and band-stop configurations, as well as multiple-passband filters… Read full abstract & cite →

IIR digital filter differential evolution FDDE algorithm AMECoDEs algorithm triple-passband IIR filter

Abstract doi.org/10.14569/IJACSA.2025.0160317 PDF

18

Machine Learning-Based Terahertz Spectroscopy for Starch Concentration Prediction in Biofilms

Author 1: Juan-Jesus Garrido-Arismendis Author 2: Jimy Oblitas Author 3: Cesar Nino Author 4: Himer Avila-George Author 5: Wilson Castro

Food preservation and safety require advanced detection methods to ensure transparency in supply chains. Terahertz (THz) spectroscopy has emerged as a powerful, non-invasive tool for material characterization. This study explores the integration of THz spectroscopy and machine learning for accurately quantifying maize starch adulteration in bioplastics derived from potato starch… Read full abstract & cite →

Terahertz spectroscopy machine learning chemo-metrics starch detection biofilms

Abstract doi.org/10.14569/IJACSA.2025.0160318 PDF

19

Unified Deep Learning for Real-Time Pedestrian Detection, Pose Estimation, and Tracking

Author 1: Joseph De Guia Author 2: Madhavi Deveraj

This study introduces a novel unified deep learning framework for real-time pedestrian and Vulnerable Road User (VRU) detection, pose estimation, and tracking using YOLOv8. Unlike traditional approaches that separately handle these tasks, our integrated multi-task model leverages YOLOv8’s advanced multi-scale feature extraction and optimized architecture to efficiently perform simultaneous detection… Read full abstract & cite →

Pedestrian detection pose estimation tracking YOLOv8 deep learning

Abstract doi.org/10.14569/IJACSA.2025.0160319 PDF

20

Impact of Emerging Technologies on Customer Loyalty: A Systematic Review

Author 1: Jonattan Andia-Reyna Author 2: Yorhs Malasquez-Villanueva

The rapid evolution of emerging technologies has generated growing interest in their potential to transform customer loyalty into digital environments. This study aims to conduct a systematic literature review (SLR) to analyze how emerging technologies influence customer loyalty. This review is focused on identifying how these technologies affect loyalty indicators… Read full abstract & cite →

Emerging technologies loyalty programs customer loyalty business growth

Abstract doi.org/10.14569/IJACSA.2025.0160320 PDF

21

Unmasking AI-Generated Texts Using Linguistic and Stylistic Features

Author 1: Muhammad Irfaan Hossen Rujeedawa Author 2: Sameerchand Pudaruth Author 3: Vusumuzi Malele

As Artificial Intelligence (AI) generated texts become increasingly sophisticated, distinguishing between human-written and AI-generated content presents a growing challenge. Reliably detecting AI-generated texts is of primary importance in fields that involve a lot of text such as journalism, education and law. In this study, several methods for detecting AI-generated texts… Read full abstract & cite →

AI-generated texts human-written texts machine learning linguistic features stylistic features

Abstract doi.org/10.14569/IJACSA.2025.0160321 PDF

22

Abnormal Data Detection Model Based on Autoencoder and Random Forest Algorithm: Camera Sensor Data in Autonomous Driving Systems

Author 1: Geng Shengwen Author 2: Mohd Hafeez Osman

This project develops an AI-based anomaly detection system. In the field of autonomous driving, abnormal data will directly affect the safety of autonomous driving systems, especially in terms of abnormal camera sensor data. Sensor failure, environmental changes, or bad weather can lead to the emergence of abnormal data, which can… Read full abstract & cite →

Automatic driving anomaly data detection convolutional autoencoder random forest CAE-RF

Abstract doi.org/10.14569/IJACSA.2025.0160322 PDF

23

Career Recommendation Based on Feature Selection for Undergraduate Students Using Machine Learning Techniques

Author 1: Samar El-Keiey Author 2: Dina ElMenshawy Author 3: Ehab Hassanein

Undergraduate students worldwide face difficulties choosing the career paths that should stay with them for at least several years. It is widespread for graduates to work in jobs or join a career path they are not interested in. Also, sometimes these jobs do not suit the skills and preferences of… Read full abstract & cite →

Career path feature selection machine learning techniques recommendation systems

Abstract doi.org/10.14569/IJACSA.2025.0160323 PDF

24

Flood Prevention System Using IoT

Author 1: Balasubramaniam Muniandy Author 2: Siti Sarah Maidin Author 3: M. Batumalay Author 4: Lakshmi Dhandapani Author 5: Prakash. S

Floods are one of the most severe natural disasters in Malaysia, occurring frequently in recent years and causing significant socio-economic and environmental impacts. These recurring disasters lead to huge losses and prolonged recovery period. Flood management involves four phases: prevention, preparedness, response, and recovery. However, existing flood management systems primarily… Read full abstract & cite →

Flood prevention system Internet of Things (IoT) automated water turbines river basin management real-time monitoring AI-based flood prediction environmental sustainability smart infrastructure

Abstract doi.org/10.14569/IJACSA.2025.0160324 PDF

25

Improved CNN Recognition Algorithm for Identifying Bird Hazards in Transmission Lines

Author 1: Junzhou Li Author 2: Yao Li Author 3: Wen Wang

With the expansion of the power grid, bird activities have become the main factor causing transmission line failures. How to accurately identify hazard birds has received widespread attention from all sectors of society. However, the current bird identification methods for transmission line hazards suffer from low accuracy due to the… Read full abstract & cite →

CNN hazard birds transmission line distinguish support vector machine

Abstract doi.org/10.14569/IJACSA.2025.0160325 PDF

26

Super-Twisting Sliding Mode Distributed Consensus for Nonlinear Multi-Agent Systems with Unknown Bounded External Disturbances

Author 1: Belkacem Kada Author 2: Khalid Munawar

This paper addresses the distributed consensus tracking problem for nonlinear multi-agent systems subject to unknown but bounded external disturbances by leveraging a super-twisting sliding mode (STSM) control framework. Two STSM-based consensus algorithms are proposed—one for first-order and another for second-order multi-agent systems—to achieve finite-time convergence despite disturbances. A disturbance observer… Read full abstract & cite →

Distributed consensus cooperative control nonlinear multiagent systems robustness super-twisting sliding mode

Abstract doi.org/10.14569/IJACSA.2025.0160326 PDF

27

AI-Driven Intrusion Detection in IoV Communication: Insights from CICIoV2024 Dataset

Author 1: Nourah Fahad Janbi

The increasing interconnectivity of vehicular networks through the Internet of Vehicles (IoV) introduces significant security challenges, particularly for the Controller Area Network (CAN), a widely adopted protocol vulnerable to cyberattacks such as spoofing and Denial-of-Service (DoS). To address these challenges, this study explores the potential of Intrusion Detection Systems (IDSs)… Read full abstract & cite →

Intrusion Detection System controller area network Internet of Vehicles CICIoV2024 machine learning Artificial Intelligence security

Abstract doi.org/10.14569/IJACSA.2025.0160327 PDF

28

Modification of C-Grabcut for Segmentation and Classification of Coffee Leaf Diseases in Complex Backgrounds

Author 1: Anastia Ivanabilla Novanti Author 2: Agus Harjoko

Visual changes, including spots, discoloration, and deformation characterize coffee leaf diseases. In real-world image data, complex backgrounds present challenges for classification using deep learning models. Irrelevant objects, such as soil, other leaves, and miscellaneous items, can hinder the model's ability to accurately recognize disease patterns. Furthermore, the absence of effective… Read full abstract & cite →

Image segmentation in-field image mobilenet-v2 coffee leaf diseases background complexity

Abstract doi.org/10.14569/IJACSA.2025.0160328 PDF

29

Adaptive Deep Learning Framework with Unicintus Optimization for Anomaly Detection in Streaming Data

Author 1: Srividhya V R Author 2: Kayarvizhy N

Anomaly detection in streaming data is crucial for identifying unusual patterns or outliers that may indicate significant issues. Traditional methods struggle with the inability in efficiently handling high-velocity data, adapting to changing data distributions, and maintain performance over time. Further, the conventional methods struggled with scalability, adaptability, and computational efficiency… Read full abstract & cite →

Streaming data sliding window anomaly detection reservoir sampling Unicintus escape energy optimization

Abstract doi.org/10.14569/IJACSA.2025.0160329 PDF

30

A Deep Learning Ordinal Classifier

Author 1: Tiphelele Lwazi Nxumalo Author 2: Richard Maina Rimiru Author 3: Vusi Mpendulo Magagula

Deep learning models such as TabNet have gained popularity for handling tabular data. However, most existing architectures treat categorical variables as nominal, ignoring the inherent ordering in ordinal data, which can lead to suboptimal classification performance, particularly in tasks where ordinal relationships carry meaningful information, such as quality assessment, disease… Read full abstract & cite →

Ordinal classification TabNet proportional odds model tabular data

Abstract doi.org/10.14569/IJACSA.2025.0160330 PDF

31

Intelligent Real-Time Air Quality Index Classification for Smart Home Digital Twins

Author 1: Saley Saleh Author 2: A. S. Abohamama Author 3: A. S. Tolba

This paper investigates the application of machine learning and deep learning models for intelligent real-time Air Quality Index (AQI) classification within a smart home digital twin context. Leveraging sensor data encompassing CO2 and TVOC levels, we perform a comparative analysis of eight models: Transformer Neural Network (TNN), Convolutional Neural Networks… Read full abstract & cite →

Air quality classification machine learning deep learning Convolutional Neural Networks Recurrent Neural Networks transformer Support Vector Machines Random Forest Gradient Boosting k-nearest neighbors CCS811 sensor data

Abstract doi.org/10.14569/IJACSA.2025.0160331 PDF

32

Sentiment Analysis and Emotion Detection Using Transformer Models in Multilingual Social Media Data

Author 1: Sultan Saaed Almalki

The rapid expansion of multilingual social media platforms has resulted in a surge of user-generated content, introducing challenges in sentiment analysis and emotion detection due to code-switching, informal text, and linguistic diversity. Traditional rule-based and machine learning models struggle to process multilingual complexities effectively, necessitating advanced deep-learning approaches. This study… Read full abstract & cite →

Multilingual sentiment analysis emotion detection transformer models XLM-R mBERT T5 code-switching cross-lingual NLP social media text processing deep learning

Abstract doi.org/10.14569/IJACSA.2025.0160332 PDF

33

Popularity-Correction Sampling and Improved Contrastive Loss Recommendation

Author 1: Wei Lu Author 2: Xiaodong Cai Author 3: Minghui Li

In recommendation systems, negative sampling strategies are crucial for the calculation of contrastive learning loss. Traditional random negative sampling methods may lead to insufficient quality of negative samples during training, thereby affecting the convergence and performance of the model. In addition, the Bayesian Personalized Ranking (BPR) loss function usually converges… Read full abstract & cite →

Recommendation algorithms contrast loss difficult negative samples object popularity bias

Abstract doi.org/10.14569/IJACSA.2025.0160333 PDF

34

Developing Motion Templates of Sport Training Using R-GDL Approach for Evaluating Extrinsic Feedback of Penalty Kicks

Author 1: Amir Irfan Mazian Author 2: Wan Rizhan Author 3: Normala Rahim Author 4: Muhammad D. Zakaria Author 5: Mohd Sufian Mat Deris Author 6: Fadzli Syed Abdullah Author 7: Ahmad Rafi

The study developed Motion Templates (MTs) using the Reverse-Gesture Description Language (R-GDL) method to evaluate extrinsic feedback in football penalty kick training. Traditional coaching methods often rely on subjective and qualitative assessments. To address this, motion capture (MoCap) technology was employed to collect kinematic data from two university football players… Read full abstract & cite →

Motion templates motion capture penalty kick extrinsic feedback reverse-gesture description language

Abstract doi.org/10.14569/IJACSA.2025.0160334 PDF

35

Data Segmentation and Concatenation for Controlling K-Means Clustering-Based Gamelan Musical Nuance Classification

Author 1: Heribertus Himawan Author 2: Arry Maulana Syarif Author 3: Ika Novita Dewi Author 4: Abdul Karim

The musical nuance classification model is proposed using a clustering-based classification approach. Gamelan, a traditional Indonesian music ensemble, is used as the subject of this study. The proposed approach employs initial and final data segmentation to analyze symbolic music data, followed by concatenation of the clustering results from both segments… Read full abstract & cite →

Musical emotion clustering classification clustering-based classification K-Means algorithm symbolic music gamelan music

Abstract doi.org/10.14569/IJACSA.2025.0160335 PDF

36

Micro Laboratory Safety Hazard Detection Based on YOLOv4: A Lightweight Image Analysis Approach

Author 1: Yuan Lin

In hazardous chemical laboratories, identifying and managing safety hazards is critical for effective safety management. This study, grounded in safety engineering principles, focuses on laboratory environments to develop an efficient hazard detection model using deep learning and object detection techniques. The lightweight YOLOv4-Tiny algorithm, with fewer parameters, was selected and… Read full abstract & cite →

Hazardous chemical safety unsafe factors deep learning target detection YOLO-v4-tiny laboratory safety

Abstract doi.org/10.14569/IJACSA.2025.0160336 PDF

37

Machine Learning-Based Identification of Cellulose Particle Pre-Bridging and Bridging Stages in Transformer Oil

Author 1: Nur Badariah Ahmad Mustafa Author 2: Marizuana Mat Daud Author 3: Hidayat Zainuddin Author 4: Nik Hakimi Nik Ali Author 5: Fadilla Atyka Nor Rashid

The deterioration of transformer oil quality is influenced by factors including the presence of acids, water, and other contaminates such as cellulose particles and metal dust. The dielectric strength of the oil decreases over time and depending on the service conditions. This study introduces an efficient machine learning method to… Read full abstract & cite →

Cellulose bridging feature classification feature extraction oil deterioration support vector machine synthetic transformer oil

Abstract doi.org/10.14569/IJACSA.2025.0160337 PDF

38

Related Applications of Deep Learning Algorithms in Medical Image Fusion Systems

Author 1: Hua Sun Author 2: Li Zhao

As the continuous advancement of medical technology, image fusion technology has also been used in it. However, current medical image fusion systems still have drawbacks such as low image clarity, low accuracy, and slow computing speed. To address this drawback, this study utilized speeded up robust features image recognition algorithms… Read full abstract & cite →

Image fusion image recognition residual network medical image speeded up robust features medical diagnosis

Abstract doi.org/10.14569/IJACSA.2025.0160338 PDF

39

Carbon Pollution Removal in Activated Sludge Process of Wastewater Treatment Systems Using Grey Wolf Optimization-Based Approach

Author 1: Saïda Dhouibi Author 2: Raja Jarray Author 3: Soufiene Bouallègue

Managing wastewater to effectively remove water pollution is inherently difficult. Ensuring that the treated water meets stringent standards is a main priority for several countries. Advances in control and optimization strategies can significantly improve the elimination of harmful substances, particularly in the case of carbon pollution. This paper presents a… Read full abstract & cite →

Wastewater treatment systems carbon pollution removal fuzzy predictive control metaheuristics optimization Grey Wolf Optimizer ANOVA tests

Abstract doi.org/10.14569/IJACSA.2025.0160339 PDF

40

Big Data Privacy Protection Technology Integrating CNN and Differential Privacy

Author 1: Yanfeng Liu Author 2: Ping Li Author 3: Min Zhang Author 4: Qinggang Liu

To solve the difficulty of balancing privacy and availability in big data privacy protection technology, this study integrates the powerful feature extraction ability of convolutional neural network models with the efficiency of differential privacy technology in data privacy protection. An innovative privacy protection method combining gradient adaptive noise and adaptive… Read full abstract & cite →

Convolutional neural network differential privacy adaptive noise addition big data privacy protection

Abstract doi.org/10.14569/IJACSA.2025.0160340 PDF

41

Multi-Strategy Improved Rapid Random Expansion Tree (RRT) Algorithm for Robotic Arm Path Planning

Author 1: Yuan Sun Author 2: Shoujun Zhang

The purpose of this paper is to propose an improved RRT algorithm that incorporates multiple improvement strategies to solve the problems of low efficiency, long and unsmooth paths in the traditional rapid random expansion tree (RRT) algorithm for path planning of robotic arms. The algorithm first uses a bidirectional tree… Read full abstract & cite →

Robotic arm RRT algorithm path planning target-biased sampling Gaussian sampling bidirectional tree extension adaptive step-size

Abstract doi.org/10.14569/IJACSA.2025.0160341 PDF

42

Comparative Analysis of YOLO and Faster R-CNN Models for Detecting Traffic Object

Author 1: Iqbal Ahmed Author 2: Roky Das

The identification of traffic objects is a basic aspect of autonomous vehicle systems. It allows vehicles to detect different traffic entities such as cars, pedestrians, cyclists, and trucks in real-time. The accuracy and efficiency of object detection are crucial in ensuring the safety and reliability of autonomous vehicles. The focus… Read full abstract & cite →

Faster R-CNN YOLOV3 YOLOV5 Traffic object detection image detection autonomous driving

Abstract doi.org/10.14569/IJACSA.2025.0160342 PDF

43

A Deep Learning-Based Framework for Real-Time Detection of Cybersecurity Threats in IoT Environments

Author 1: Sultan Saaed Almalki

The rapid adoption of Internet of Things (IoT) devices has led to an exponential increase in cybersecurity threats, necessitating efficient and real-time intrusion detection systems (IDS). Traditional IDS and machine learning models struggle with evolving attack patterns, high false positive rates, and computational inefficiencies in IoT environments. This study proposes… Read full abstract & cite →

IoT security intrusion detection system cybersecurity threats deep learning real-time detection adversarial robustness anomaly detection

Abstract doi.org/10.14569/IJACSA.2025.0160343 PDF

44

Enhancing Visual Communication Design and Customization Through the CLIP Contrastive Language-Image Model

Author 1: Xiujie Wang

This study explores the impact of the CLIP (Contrastive Language-Image Pretraining) model on visual communication design, particularly focusing on its application in design innovation, personalized element creation, and cross-modal understanding. The research addresses how CLIP can meet the increasing demand for personalized and diverse design solutions in the context of… Read full abstract & cite →

CLIP language image model visual communication design element customization

Abstract doi.org/10.14569/IJACSA.2025.0160344 PDF

45

Optimization of Automated Financial Statement Information Disclosure System Based on AI Models

Author 1: Yonghui Xiao Author 2: Haikuan Zhang

In the context of the digital transformation of the global economy and the rapid advancement of enterprise informatization, ensuring accurate and timely financial statement disclosure has become a critical priority for businesses and regulatory bodies. This study aims to address the inefficiencies, high error rates, and slow response times inherent… Read full abstract & cite →

Information disclosure of financial statements artificial intelligence automated processing system optimization

Abstract doi.org/10.14569/IJACSA.2025.0160345 PDF

46

Bibliometric Analysis of the Evolution and Impact of Short Videos in E-Commerce (2015-2024): New Research Trends in AI

Author 1: Duy Nguyen Binh Phuong Author 2: Tien Ngo Thi My Author 3: Thuy Nguyen Binh Phuong Author 4: Thi Pham Nguyen Anh Author 5: Hung Le Huu

Over a decade of rapid growth in short video content has opened increasingly in-depth perspectives on this topic, with increasingly diverse scientific publications exploring different aspects of this phenomenon. Short videos have rapidly transformed the e-commerce landscape, influencing consumer behavior, marketing strategies, and technological advancements. This study used bibliometric analysis… Read full abstract & cite →

Short video AI co-citation analysis keyword co-occurrence analysis bibliographic coupling

Abstract doi.org/10.14569/IJACSA.2025.0160346 PDF

47

Classroom Behavior Recognition and Analysis Technology Based on CNN Algorithm

Author 1: Weihua Qiao

Students’ classroom behavior can effectively reflect the learning efficiency and the teaching quality of teachers, but the accuracy of current students’ classroom behavior identification methods is not high. Aiming at this research gap, an improved algorithm based on multi-task learning cascaded convolutional neural network architecture is proposed. Through the improved… Read full abstract & cite →

Convolution neural network multi-task learning face recognition classroom student behavior

Abstract doi.org/10.14569/IJACSA.2025.0160347 PDF

48

Malicious Domain Name Detection Using ML Algorithms

Author 1: Lamis Alshehri Author 2: Samah Alajmani

With the ever-increasing rate of cyber threats, especially through malicious domain names, the need for their effective detection and prevention becomes very urgent. This study mainly investigates the classification of domain names into either benign or malicious classes based on DNS logs using machine learning. We evaluated five strong ML… Read full abstract & cite →

DNS Security machine learning malicious domain detection XGBoost LightGBM CatBoost

Abstract doi.org/10.14569/IJACSA.2025.0160348 PDF

49

Defect Detection of Photovoltaic Cells Based on an Improved YOLOv8

Author 1: Zhihui LI Author 2: Liqiang WANG

Currently, defect detection in photovoltaic (PV) cells faces challenges such as limited training data, data imbalance, and high background complexity, which can result in both false positives and false negatives during the detection process. To address these challenges, a defect detection network based on an improved YOLOv8 model is proposed… Read full abstract & cite →

Photovoltaic cells defect detection YOLOv8 loss function

Abstract doi.org/10.14569/IJACSA.2025.0160349 PDF

50

Virtual Reality (VR) Technology in Civics Practice Teaching Evaluating the Effect of Immersive Experience

Author 1: Hao Qin Author 2: Yangqing Zhang Author 3: Jiali Wei

In order to improve the low precision of the current immersive experience effect assessment method, a virtual reality Civics practice teaching immersive experience effect assessment method with enterprise development optimisation algorithm and mixed kernel extreme learning machine is proposed. Firstly, we analyse the current status of research on virtual reality… Read full abstract & cite →

Virtual reality technology civics practice teaching immersive experience effect assessment enterprise development optimisation algorithm

Abstract doi.org/10.14569/IJACSA.2025.0160350 PDF

51

Sentiment Analysis: An Insightful Literature Review

Author 1: Indrajani Sutedja Author 2: Hendry

Understanding the consumer is becoming crucial in today's customer-focused company culture. Sentiment analysis is one of many methods that can be used to evaluate the public’s sentiment toward a specific entity in order to generate actionable knowledge. In the commercial sector, sentiment analysis is critical in enabling businesses to establish… Read full abstract & cite →

Sentiment analysis sentiment analysis approach text mining

Abstract doi.org/10.14569/IJACSA.2025.0160351 PDF

52

Detection Optimization of Brute-Force Cyberattack Using Modified Caesar Cipher Algorithm Based on Binary Codes (MCBC)

Author 1: Muhannad Tahboush Author 2: Adel Hamdan Author 3: Mohammad Klaib Author 4: Mohammad Adawy Author 5: Firas Alzobi

Information security is considered vital aspects that are employed to protect user credentials and digital information from cyber security threats. A Caesar cipher is an ancient cryptography algorithm, and it is susceptible to being easily broken and vulnerable to brute-force attack. Brute-force attack is a cyberattack that uses trial and… Read full abstract & cite →

Brute-force attack encryption Caesar cipher binary code security

Abstract doi.org/10.14569/IJACSA.2025.0160352 PDF

53

The Power of Digitalization: How Information Disclosure Shapes Company Value

Author 1: Lina Nur Hidayati Author 2: Muniya Alteza Author 3: Mahendra Ryansa Gallen Gagah Pratama

This study aims to explore how business digitalization influences firm value within the Indonesia Stock Exchange (IDX). It seeks to offer a thorough examination of the effects of digital transformation on corporate valuation. The findings highlight a strong positive correlation between digitalization and firm valuation, supporting signaling theory, which asserts… Read full abstract & cite →

Information digitalization business firm value

Abstract doi.org/10.14569/IJACSA.2025.0160353 PDF

54

A Systematic Literature Review on the Sand Cat Swarm Algorithm: Enhancements, Applications, and Future Directions

Author 1: Wirawati Dewi Ahmad Author 2: Azuraliza Abu Bakar Author 3: Mohd Nor Akmal Khalid

The Sand Cat Swarm Algorithm (SCSA) has emerged as a promising metaheuristic optimization technique inspired by the behavior of sand cats in their natural habitat. This paper presents a systematic literature review synthesizes the enhancement, performance comparing algorithms, applications of SCSA across various domains and future direction on SCSA enhancement… Read full abstract & cite →

Sand cat swamp algorithm sand cat optimization optimization metaheuristic

Abstract doi.org/10.14569/IJACSA.2025.0160354 PDF

55

Designing Minimum Data Set and Data Model for Electronic Health Record Systems in Indonesia

Author 1: Teddie Darmizal Author 2: Nor Hasbiah Ubaidullah Author 3: Aslina Saad

This study aimed to design a minimum data set (MDS) and Data Model for electronic health record system (EHRS) in Indonesia. The content of the MDS in this study is different from the MDS from the results of the study in other advanced countries. The technical preparation of the MDS… Read full abstract & cite →

Minimum data set data element data model electronic health record electronic health record system

Abstract doi.org/10.14569/IJACSA.2025.0160355 PDF

56

Optimization of LED Luminaire Life Prediction Algorithm by Integrating Feature Engineering and Deep Learning Models

Author 1: Xiongbo Huang

With the wide application of LED luminaires in various fields, it has become particularly important to accurately predict their lifetime. The lifetimes of LED luminaires are affected by a variety of factors, including temperature, current, voltage, light intensity, and operating time, and there are complex interactions among these factors. Traditional… Read full abstract & cite →

Feature engineering deep learning LED lamps life prediction algorithm optimization

Abstract doi.org/10.14569/IJACSA.2025.0160356 PDF

57

Study on Human Hazardous Behavior Recognition and Monitoring System in Slide Facilities Based on Improved HRNet Network

Author 1: Chen Chen Author 2: Huiyu Xiang Author 3: Song Huang Author 4: Yanpei Zhang

In recent years, accidents involving slide playground equipment have frequently occurred due to various reasons, attracting significant attention. Reducing or even eliminating these accidental injuries has become an urgent technical issue to address. Currently, the safety management of slide playground facilities still relies on manual monitoring, and the level of… Read full abstract & cite →

Playground equipment object detection skeleton sequence flow alignment module human behavior recognition

Abstract doi.org/10.14569/IJACSA.2025.0160357 PDF

58

Improving Road Safety in Indonesia: A Clustering Analysis of Traffic Accidents Using K-Medoids

Author 1: Handrizal Author 2: Hayatunnufus Author 3: Maryo Christopher Davinci Nababan

Traffic accidents pose a significant public health and safety challenge in Indonesia, ranking fifth globally in terms of traffic fatality rates. This study aims to identify patterns in traffic accident data to inform effective mitigation strategies. Utilizing the K-Medoids algorithm, we clustered traffic accident data from the Indonesian Central Bureau… Read full abstract & cite →

Traffic accidents K-Medoids clustering data mining

Abstract doi.org/10.14569/IJACSA.2025.0160358 PDF

59

Tree Seed Algorithm-Based Optimized Deep Features Selection for Glaucoma Disease Classification

Author 1: Sherif Tawfik Amin

Glaucoma is a common eye condition that can cause irreversible blindness if left untreated. Glaucoma can be identified by the optic nerve disorder (a perilous path that carries the potential risk) and leads to blindness. Therefore, early glaucoma detection is critical for optimizing treatment outcomes and preserving vision. The majority… Read full abstract & cite →

Deep learning tree seed algorithm feature extraction mobilenetv2

Abstract doi.org/10.14569/IJACSA.2025.0160359 PDF

60

The Effect of Climate Change on Animal Diseases by Using Image Processing and Deep Learning Techniques

Author 1: Gehad K. Hussien Author 2: Mohamed H. Khafagy Author 3: Hossam M. Elbehiery

Climate change is one of the most talked-about topics of this decade, affecting all economic output sectors, including the economy of cow farming. In many scenarios, exceptionally severe climate change is predicted for the Mediterranean region. As a result, practical measures must be taken to strengthen the sector's resilience, particularly… Read full abstract & cite →

Climate change sustainability smallholder animal disease image processing deep learning animal skin diseases

Abstract doi.org/10.14569/IJACSA.2025.0160360 PDF

61

The Application of Optimized JPEG-LS Algorithm in Efficient Transmission of Multi-Spectral Images

Author 1: Huanping Hu Author 2: Xing Wang

Currently, multi-spectral image transmission faces challenges such as high storage costs and low transmission efficiency. Although various technologies are attempted to solve these problems recently, such as improving encoding methods in some algorithms, there are still issues such as insufficient compression ratio and slow processing speed. Therefore, the research focuses… Read full abstract & cite →

Multi-spectral image transmission JPEG-LS algorithm compression ratio signal-to-noise ratio

Abstract doi.org/10.14569/IJACSA.2025.0160361 PDF

62

Early Warning Model Construction for Deformation Monitoring and Management of Deep Foundation Pit Project Combined with Artificial Intelligence

Author 1: Xiaoyuan Zhang Author 2: Xin Wang

In various engineering construction projects, construction safety problems caused by pit deformation continue to be solved. The existing early warning model for pit deformation management cannot effectively meet the needs of actual construction for complex pit projects. Artificial intelligence technology has more obvious advantages in foundation pit deformation detection due… Read full abstract & cite →

Deep foundation pit deformation Gaussian regression analysis management warning artificial intelligence

Abstract doi.org/10.14569/IJACSA.2025.0160362 PDF

63

A Deep Learning-Based Generative Adversarial Network for Digital Art Style Migration

Author 1: Wenting Ou

This study introduces the ConvNeXt-CycleGAN, a novel deep learning-based Generative Adversarial Network (GAN) designed for digital art style migration. The model addresses the time-consuming and expertise-driven nature of traditional artistic creation, aiming to automate and accelerate the style transfer process using artificial intelligence. The ConvNeXt-CycleGAN integrates ConvNeXt blocks within the… Read full abstract & cite →

Generative Adversarial Networks (GANs) deep learning style transfer unsupervised learning neural style transfer

Abstract doi.org/10.14569/IJACSA.2025.0160363 PDF

64

On the Impact of Various Combinations of Preprocessing Steps on Customer Churn Prediction

Author 1: Mohamed Ezzeldin Saleh Author 2: Nadia Abd-Alsabour

This paper investigates various combinations of preprocessing methods (attribute selection, normalization, resampling, and imputation) and evaluates their impact on the performance of decision tree models for predicting customer churn. The experiments were performed on the benchmark Cell2Cell dataset due to its ability to address diverse aspects of customer behavior, including… Read full abstract & cite →

Attribute selection churn prediction decision trees imputation methods machine learning normalization techniques

Abstract doi.org/10.14569/IJACSA.2025.0160364 PDF

65

IoT-Based Smart Accident Detection and Early Warning System for Emergency Response and Risk Management

Author 1: Jinsong Tao Author 2: Rahat Ali Author 3: Shakeel Ahmad Author 4: Fasahat Ali

Driving in dense fog creates significant challenges, particularly in Asian countries like Pakistan, where increasing traffic and air pollution contribute to reduced visibility, elevate the risk of ac-cidents, property damage, and fatalities. Accidents in such conditions are worsened by vehicle congestion and poor weather, such as dense fog. To address… Read full abstract & cite →

IoT Blynk application smart transportation accident detecting and early warning system risk management

Abstract doi.org/10.14569/IJACSA.2025.0160365 PDF

66

Analysis of Estimation Methods for Submarine Towing Resistance

Author 1: Shancheng Li Author 2: Guanghui Zeng Author 3: Guangda Wang

In order to estimate the drag of submarine towing effectively, based on the analysis of the drag components of submarine towing, the friction resistance and residual resistance of submarine towing are estimated according to the empirical formula of towing surface ship resistance. Subsequently, CFD is used to simulate the towing… Read full abstract & cite →

Submarine towing resistance CFD simulation empirical formulas maritime rescue

Abstract doi.org/10.14569/IJACSA.2025.0160366 PDF

67

Machine Learning Applications in Workforce Management: Strategies for Enhancing Productivity and Employee Engagement

Author 1: Mano Ashish Tripathi Author 2: Joel Osei-Asiamah Author 3: Avanti Chinmulgund Author 4: Aanandha Saravanan Author 5: T Subha Mastan Rao Author 6: Ramya H P Author 7: Yousef A. Baker El-Ebiary

Workforce management is a critical component of organizational success, encompassing employee scheduling, task allocation, and engagement strategies. Traditional methods rely heavily on rule-based systems and manual supervision, leading to inefficiencies and suboptimal workforce utilization. Existing machine learning (ML) approaches, such as supervised learning and statistical models, have improved certain aspects… Read full abstract & cite →

Machine learning workforce management employee engagement task allocation productivity optimization

Abstract doi.org/10.14569/IJACSA.2025.0160367 PDF

68

Chronic Kidney Disease Classification Using Bagging and Particle Swarm Optimization Techniques

Author 1: Suhendro Y. Irianto Author 2: Dephi Linda Author 3: Immaniar I. M. Rizki Author 4: Sri Karnila Author 5: Dona Yuliawati

Chronic kidney disease (CKD) is a serious chronic illness without a definitive cure. According to WHO in 2015, 10% of the population suffers from CKD, with 1.5 million patients undergoing global haemodialysis. The incidence of CKD is increasing by 8% annually, ranking it as the 20th highest cause of global… Read full abstract & cite →

Kidney disease PSO bagging Random Forest

Abstract doi.org/10.14569/IJACSA.2025.0160368 PDF

69

Fuzzy Logic with Kalman Filter Model Framework for Children’s Personal Health Apps

Author 1: Noorrezam Yusop Author 2: Massila Kamalrudin Author 3: Nuridawati Mustafa Author 4: Nor Aiza Moketar Author 5: Tao Hai Author 6: Siti Fairuz Nurr Sardikan

The increasing prevalence of obesity among children under five has led to a growing demand for improved food nutrition advisory systems. Current food nutrition recommendation models struggle with parameter estimation, contextual adaptation, and real-time accuracy, often relying on traditional fuzzy logic models that lack responsiveness to evolving dietary needs. This… Read full abstract & cite →

Fuzzy logic Kalman filter food Nutrition personal health food recommendations

Abstract doi.org/10.14569/IJACSA.2025.0160369 PDF

70

Enhanced Reconstruction of Occluded Images Using GAN and VGG-Net Preprocessing

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

Facial recognition is widely used in security and identification systems, but occlusions like masks or glasses remain a major challenge. Recent approaches, such as GANs and partial feature extraction methods, attempt to reconstruct or identify occluded facial images. However, these approaches still have limitations in handling severe occlusions, computational efficiency… Read full abstract & cite →

Face recognition occlusion image reconstruction generative adversarial networks VGG-Net occluded images feature extraction

Abstract doi.org/10.14569/IJACSA.2025.0160370 PDF

71

Parameter Adaptation of Enhanced Ant Colony System for Water Quality Rules Classification

Author 1: Husna Jamal Abdul Nasir Author 2: Mohd Mizan Munif Author 3: Muhammad Imran Ahmad Author 4: Tan Shie Chow Author 5: Ku Ruhana Ku-Mahamud Author 6: Abu Hassan Abdullah

Water quality monitoring in aquaculture involves classifying and analyzing the collected data to assess the water quality that is appropriate for breeding, rearing and harvesting aquatic organisms. Systematic data classification is essential when it comes to managing large amounts of data that are continuously sensed in real time and have… Read full abstract & cite →

Parameter adaptation rules classification water quality monitoring ant colony system pheromone update techniques

Abstract doi.org/10.14569/IJACSA.2025.0160371 PDF

72

The Application of Face Recognition Model Based on MLBP-HOG-G Algorithm in Smart Classroom

Author 1: Xiaoxia Li

The development of Internet and Internet of things technology has accelerated the informatization construction of smart education. But the traditional face recognition algorithm used in smart classrooms inevitably has problems such as large amount of calculation, obvious resource and memory consumption, and poor recognition accuracy. In order to promote the… Read full abstract & cite →

Multi feature local binary pattern directional gradient histogram Gabor filter face recognition smart classroom

Abstract doi.org/10.14569/IJACSA.2025.0160372 PDF

73

AI-Driven NAS-GBM Model for Precision Agriculture: Enhancing Crop Yield Prediction Accuracy

Author 1: Sudhir Anakal Author 2: Poornima N Author 3: Abdurasul Bobonazarov Author 4: Janjhyam Venkata Naga Ramesh Author 5: Elangovan Muniyandy Author 6: Mandava Manjusha Author 7: Yousef A. Baker El-Ebiary

Precision agriculture has emerged as a vital approach for optimizing crop yield prediction, enabling data-driven decision-making to improve agricultural productivity. Traditional forecasting methods encounter difficulties due to extreme complexity within environmental factors while operating under dynamic farming conditions. An AI framework combining NAS and GBM serves as the solution to… Read full abstract & cite →

Network sensor crop yield prediction neural architecture search Gradient Boosting Machine (GBM)

Abstract doi.org/10.14569/IJACSA.2025.0160373 PDF

74

Challenges and Solutions in Agile Software Development: A Managerial Perspective on Implementation Practices

Author 1: Geetha L S Author 2: Yousef A. Baker El-Ebiary Author 3: Bandla Srinivasa Rao Author 4: Revati Ramrao Rautrao Author 5: T Subha Mastan Rao Author 6: Janjhyam Venkata Naga Ramesh Author 7: Omaia Al-Omari

Agile software development is much used as it is flexible and is customer centric style but its implementation there are still challenges in which in transferring from traditional project management. The implementation is, however, beset with much trouble, especially in transitioning organizations from old project management frameworks. This research elaborates… Read full abstract & cite →

Agile software development implementation challenges managerial interventions agile frameworks performance evaluation

Abstract doi.org/10.14569/IJACSA.2025.0160374 PDF

75

AEDGAN: A Semi-Supervised Deep Learning Model for Zero-Day Malware Detection

Author 1: Abdullah Marish Ali Author 2: Fuad A. Ghaleb Author 3: Faisal Saeed

Malware presents an increasing threat to cyberspace, drawing significant attention from researchers and industry professionals. Many solutions have been proposed for malware detection; however, zero-day malware detection remains challenging due to the evasive techniques used by malware authors and the limitations of existing solutions. Traditional supervised learning methods assume a… Read full abstract & cite →

Malware detection zero-day anomaly detection generative adversarial network autoencoder convolutional neural network

Abstract doi.org/10.14569/IJACSA.2025.0160375 PDF

76

Development and Evaluation of Accounting Information System and Shopee Open Application Programming Interface for a Small Business, Thailand

Author 1: Kewalin Angkananon Author 2: Piyabud Ploadaksorn

This research aimed to develop and evaluate an integrated Accounting Information System (AIS) with Shopee Open API for the Ban Huai Luek Agricultural Community Enterprise in Thailand, designed to enhance financial data management efficiency and optimize online marketing operations. The research employed a mixed-method approach, combining qualitative interviews with 30… Read full abstract & cite →

Accounting information system e-commerce integration agricultural community enterprise shopee open API

Abstract doi.org/10.14569/IJACSA.2025.0160376 PDF

77

Detection of Structural Vulnerabilities in Multi-Cavity Steel Plate Shear Walls Using Improved Deep Neural Networks

Author 1: Zhang Bo Author 2: Xu Dabin

Steel Plate Shear Walls (SPSWs) are a significant structural system because they can dissipate energy and have a very high lateral stiffness. However, the discovery and elimination of vital structural vulnerabilities, mainly in multi-cavity configurations, is still a major challenge. This study utilizes developments in the deep learning era to… Read full abstract & cite →

Structural vulnerabilities deep neural networks steel plate shear walls seismic design machine learning

Abstract doi.org/10.14569/IJACSA.2025.0160377 PDF

78

Intrusion Detection System-Based Network Behavior Analysis: A Systemic Literature Review

Author 1: Mohammed Janati Author 2: Fayçal Messaoudi

An Intrusion Detection System (IDS) in cyberspace, as of now, plays primarily as a means of detecting illegal access and activity in a network. Due to the rapidly evolving cyber threats, the traditional signature-based IDS have started losing their effectiveness, leading to the emergence of advanced alternatives to these traditional… Read full abstract & cite →

Artificial Intelligence (AI) deep learning machine learning cybersecurity Intrusion Detection System Network Behavior Analysis (NBA) Systematic Literature Review (SLR)

Abstract doi.org/10.14569/IJACSA.2025.0160378 PDF

79

Dynamic Obstacle Avoidance and Path Planning for Mobile Robots Integrating Improved Rapidly-Exploring Random Tree-Star and Improved Dynamic Window Approach

Author 1: Xianyong Wei Author 2: Hongying Si

With the application and popularization of artificial intelligence and intelligent robots in daily life, the autonomous navigation and flexible operation capabilities of mobile robots have become particularly critical. Mobile robots perform well in regular environments, but face problems such as low accuracy in dynamic obstacle avoidance and weak adaptability to… Read full abstract & cite →

Rapidly-exploring random tree-star dynamic window approach A-star algorithm dynamic obstacle avoidance path planning mobile robot

Abstract doi.org/10.14569/IJACSA.2025.0160379 PDF

80

Resource Utilization Prediction Model for Cloud Datacentre: Survey

Author 1: Doaa Bliedy Author 2: Mohamed H. Khafagy Author 3: Rasha M. Badry

This survey aims to analyze resource prediction models in cloud environments to improve resource allocation strategies. It can be difficult for cloud service providers to maintain the required Quality of Service (QoS) requirements without going against a service level agreement (SLA). Improving cloud performance requires accurate workload prediction. To enhance… Read full abstract & cite →

Cloud computing resource utilization prediction cloud datacenter machine learning models resource allocation

Abstract doi.org/10.14569/IJACSA.2025.0160380 PDF

81

Handwritten Arabic Calligraphy Generation: A Systematic Literature Review

Author 1: Afnan Sumayli Author 2: Mohamed Alkaoud

Arabic calligraphy is famous for its distinct artistic style. It is written by skilled calligraphers to highlight the beauty of Arabic letters and represent its rich artistry. Due to the complexity of Arabic text compared to other languages' scripts, Arabic calligraphy writing demands a significant investment of time and effort… Read full abstract & cite →

Arabic calligraphy deep learning generative models handwritten dataset Generative Adversarial Networks

Abstract doi.org/10.14569/IJACSA.2025.0160381 PDF

82

Music Emotion Recognition and Analysis Based on Neural Network

Author 1: Zhao Hanbing Author 2: Jin Xin Author 3: Guo Jinfeng

The close connection between music and human emotions has always been an important topic of research in psychology and musicology. Scientists have proven that music can affect a person's emotional state, thereby possessing the potential for therapy and stress relief. With the development of information technology, automatic music emotion recognition… Read full abstract & cite →

Music emotion recognition multimodal fusion audio signal processing neural network sentiment analysis user experience

Abstract doi.org/10.14569/IJACSA.2025.0160382 PDF

83

Medical Named Entity Recognition for Enhanced Electronic Health Record Maintenance

Author 1: Muralikrishna S. N Author 2: Raghavendra Ganiga Author 3: Raghurama Holla Author 4: Ruppikha Sree Shankar

The increasing use of electronic health records (EHRs) has led to a surge in unstructured data, making it challenging to extract valuable insights. This study proposes Natural Language Processing (NLP) based techniques to standardize Electronic Health Record (EHR) data. Conducted in a healthcare setting, the research focuses on transforming unstructured… Read full abstract & cite →

Electronic health records named entity recognition natural language processing part-of-speech

Abstract doi.org/10.14569/IJACSA.2025.0160383 PDF

84

Optimizing Large Language Models for Low-Resource Languages: A Case Study on Saudi Dialects

Author 1: Bayan M. Alsharbi

Large Language Models (LLMs) have revolutionized natural language processing (NLP); however, their effectiveness remains limited for low-resource languages and dialects due to data scarcity. One such underrepresented variety is the Saudi dialect, a widely spoken yet linguistically distinct variant of Arabic. NLP models trained on Modern Standard Arabic (MSA) often… Read full abstract & cite →

LLM Saudi Dialect deep learning

Abstract doi.org/10.14569/IJACSA.2025.0160384 PDF

85

Smart Homes, Family Bonds, and Societal Resilience: A Comparative Analysis of AraBERT, MarBERT, and DistilBERT on Arabic Twitter Data

Author 1: Eman Alqahtani Author 2: Rashid Mehmood Author 3: Sanaa Sharaf Author 4: Saad Alqahtany

This study explores the concept of Smart Homes & Families by analyzing 1,174,912 Arabic tweets from Saudi Arabia to understand societal perceptions, challenges, and expectations. Recognizing that homes play a vital role in nurturing relationships, values, morals, and societal cohesion, the research emphasizes that the "smartness" of homes lies not… Read full abstract & cite →

Smart homes smart families sustainability Bidirectional Encoder Representations from Transformers (BERT) AraBERT MarBERT DistilBERT coherence metrics Twitter

Abstract doi.org/10.14569/IJACSA.2025.0160385 PDF

86

Improving Financial Forecasting Accuracy Through Swarm Optimization-Enhanced Deep Learning Models

Author 1: Balakrishnan S Author 2: Y. Srinivasa Rao Author 3: Karaka Ramakrishna Reddy Author 4: Janjhyam Venkata Naga Ramesh Author 5: Elangovan Muniyandy Author 6: M. V. A. L. Narasimha Rao Author 7: Yousef A. Baker El-Ebiary Author 8: B Kiran Bala

Financial forecasting is a crucial factor for decision-making in numerous fields, it demands very accurate predictive models. Traditional methods, like Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Gradient Boosting Machines (GBM), display suitable performance however have proven not totally efficient in complex high-dimensional financial data. This paper introduces… Read full abstract & cite →

Financial forecasting deep learning swarm optimization predictive modeling machine learning

Abstract doi.org/10.14569/IJACSA.2025.0160386 PDF

87

A Fuzzy-Neural Network Approach to Market Supervision and Product Recall Prediction

Author 1: Wei Chen

The paper suggests a fuzzy-neural network market monitoring and product recall prediction method. This method uses fuzzy logic and neural networks to handle complex and ambiguous input. The fuzzy logic component fuzzes product quality, customer complaint, and market trend index input variables. The neural network component learns fuzzified data patterns… Read full abstract & cite →

Fuzzy-neural network customer complaint rate product quality rating market trend index market supervision accuracy precision recall F1-Score and MSE

Abstract doi.org/10.14569/IJACSA.2025.0160387 PDF

88

Analysis of the Application and Potential of Renewable Energy in Landscape Architecture

Author 1: YaWei Wu Author 2: Xiang Meng

The field of landscape architecture is constantly evolving to address sustainability and climate change. There is a rising chance to use these technology into landscape design as renewable energy sources become more prevalent. An effective technique for evaluating the possibility of incorporating renewable energy management into landscape architecture is currently… Read full abstract & cite →

Landscape architecture sustainability renewable energy decision-making deep learning artificial intelligence

Abstract doi.org/10.14569/IJACSA.2025.0160388 PDF

89

Performance Evaluation of Machine Learning-Based Cyber Attack Detection in Electric Vehicles Charging Stations

Author 1: Mutaz A. B. Al-Tarawneh Author 2: Omar Alirr Author 3: Hassan Kanj

Electric Vehicles (EV) chargers rely on resource-constrained embedded hardware to execute critical charging operations. However, conventional security solutions may not adequately meet the needs of these devices. Increasingly, machine learning techniques are being leveraged to detect cyber attacks during electric vehicle charging. This study aims to evaluate various base machine… Read full abstract & cite →

Machine learning cyber attack detection cyber threats distributed denial of service attack charging stations

Abstract doi.org/10.14569/IJACSA.2025.0160389 PDF

90

Adaptive Ensemble Selection for Personalized Cardiovascular Disease Prediction Using Clustering and Feature Selection

Author 1: Mutaz A. B. Al-Tarawneh Author 2: Khaled S. Al-Maaitah Author 3: Ashraf Alkhresheh

Cardiovascular disease (CVD) remains one of the leading causes of mortality worldwide, highlighting the need for early and precise prediction to support timely intervention. This study introduces an ensemble-based adaptive approach that personalizes CVD prediction by dynamically adjusting model configurations based on patient subgroups. To achieve this, various clustering techniques… Read full abstract & cite →

Cardiovascular disease prediction adaptive ensemble selection clustering techniques feature selection personalized healthcare

Abstract doi.org/10.14569/IJACSA.2025.0160390 PDF

91

MAHYA: Facial Recognition-Based Pilgrim Identification System for Enhanced Health Monitoring and Assistance

Author 1: Shahad Albalawi Author 2: Lujin Alamri Author 3: Jumanah Atut Author 4: Shatha Albalawi Author 5: Reem Haddaddi Author 6: A’aeshah Alhakamy

During the Hajj season, Saudi Arabia experiences the arrival of millions of pilgrims from diverse linguistic and geographical backgrounds. This influx poses significant challenges for emergency medical care services. The primary objective of this study is to explore the technological shortcomings and difficulties encountered by healthcare teams during such large-scale… Read full abstract & cite →

Facial recognition emergency medical care ResNet inception siamese network mobile health technology

Abstract doi.org/10.14569/IJACSA.2025.0160391 PDF

92

Machine Learning-Driven Preventive Maintenance for Fibreboard Production in Industry 4.0

Author 1: Sirirat Suwatcharachaitiwong Author 2: Nikorn Sirivongpaisal Author 3: Thattapon Surasak Author 4: Nattagit Jiteurtragool Author 5: Laksiri Treeranurat Author 6: Aree Teeraparbseree Author 7: Phattara Khumprom Author 8: Sirirat Pungchompoo Author 9: Dollaya Buakum

The transition to Industry 4.0 has necessitated the adoption of intelligent maintenance strategies to enhance manufacturing efficiency and reduce operational disruptions. In fibreboard production, conventional preventive maintenance, reliant on fixed schedules, often leads to inefficient resource allocation and unexpected failures. This study proposes a machine learning-driven predictive maintenance (PdM) framework… Read full abstract & cite →

Predictive maintenance machine learning fibre-board production operational efficiency Industry 4.0 smart manufacturing

Abstract doi.org/10.14569/IJACSA.2025.0160392 PDF

93

Small Object Detection in Complex Images: Evaluation of Faster R-CNN and Slicing Aided Hyper Inference

Author 1: Fatma Mazen Ali Mazen Author 2: Yomna Shaker

Small object detection has many applications, including maritime surveillance, underwater computer vision, agriculture, traffic flow analysis, drone surveying, etc. Object detection has made notable improvements in recent years. Despite these advancements, there is a notable disparity in performance between detecting small and large objects. This gap is because small objects… Read full abstract & cite →

Faster R-CNN Cascaded R-CNN SAHI ATSS artistic head detection small object detection

Abstract doi.org/10.14569/IJACSA.2025.0160393 PDF

94

Enhancing Vision-Based Religious Tourism Systems in Makkah Using Fine-Tuned YOLOv11 for Landmark Detection

Author 1: Kaznah Alshammari

Makkah, one of the most significant cities in the Islamic world, possesses a rich architectural and cultural heritage that requires precise detection and identification of its landmarks. Accurate landmark detection plays a vital role in urban planning, cultural preservation, and enhancing tourism experiences. In this study, a fine-tuned versions of… Read full abstract & cite →

YOLOv11 object detection Makkah landmark

Abstract doi.org/10.14569/IJACSA.2025.0160394 PDF

95

Automated DoS Penetration Testing Using Deep Q Learning Network-Quantile Regression Deep Q Learning Network Algorithms

Author 1: Mariam Alhamed Author 2: M M Hafizur Rahman

Penetration test is essential to determine the security level of a network. A penetration test attack path simulates an attack to identify vulnerabilities, reduce likely losses, and continuously enhance security. It helps to facilitate the simulation of different attack scenarios, develops robust security measures, and enables proactive risk assessment. We… Read full abstract & cite →

DQN QR-DQN MulVAL DFS penetration testing DoS

Abstract doi.org/10.14569/IJACSA.2025.0160395 PDF

96

Capacity Analysis of MIMO Channels Under High SNR Using Nakagami-q Fading Distribution

Author 1: Syeda Anika Tasnim Author 2: Md. Mazid-Ul-Haque Author 3: Md. Sajid Bin Faisal Author 4: Rakin Sad Aftab

This study explores the capacity of multiple-input multiple-output (MIMO) wireless channels under high signal-to-noise ratio (SNR) conditions, incorporating Nakagami-q fading distribution alongside Rayleigh and Rician fading models. The main objective is to develop an analytical framework that accurately models MIMO channel capacity under high-SNR conditions using Nakagami-q fading and compares… Read full abstract & cite →

MIMO systems Nakagami-q high-SNR capacity antenna configurations wireless channel modeling

Abstract doi.org/10.14569/IJACSA.2025.0160396 PDF

97

Integrating BDI Cognitive Intelligence in IIoT: A Framework for Advanced Decision-Making in Manufacturing and Policy Development

Author 1: Ammar Ahmed E. Elhadi

This paper presents an innovative system frame-work that integrates multiple domains—Smart Cities, Underwater Environments, and Healthcare—using advanced Data Analytics Platforms enhanced by BDI (Belief-Desire-Intention) cognitive intelligence. Current data analytics systems, while capable of collecting and processing large amounts of data, exhibit significant gaps in intelligent decision-making, particularly in dynamic and… Read full abstract & cite →

BDI cognitive intelligence IIoT smart manufacturing decision-making adaptive systems

Abstract doi.org/10.14569/IJACSA.2025.0160397 PDF

98

The Impact of Cybersecurity Through Knowledge Sharing Practices: Limitations, Analysis of Current Trends and Future Research Directions

Author 1: Moneer Alshaikh Author 2: Sajid Mehmood Author 3: Rashid Amin Author 4: Faisal S. Alsubaei

Research examines Saudi Arabian cyber security knowledge-sharing programs during its digital transformation under Vision 2030 through a combination of literature reviews and expert specialist insights to analyze current cybersecurity professional information transfer systems. This analysis shows how technological developments along with organizational and cultural elements impact these practices since the… Read full abstract & cite →

Cybersecurity knowledge sharing Saudi Arabia Vision 2030 digital transformation cybersecurity education cyber threats cybersecurity framework cultural barriers National Cybersecurity Authority (NCA)

Abstract doi.org/10.14569/IJACSA.2025.0160398 PDF

99

Exploring the Synergy Between Digital Twin Technology and Artificial Intelligence: A Comprehensive Survey

Author 1: Wael Y. Alghamdi Author 2: Rayan M. Alshamrani Author 3: Ruba K. Aloufi Author 4: Shaikhah O. Ba Lhamar Author 5: Retaj A. Altwirqi Author 6: Fatimah S. Alotaibi Author 7: Shahad M. Althobaiti Author 8: Hadeel M. Altalhi Author 9: Shatha A. Alshamrani Author 10: Atouf S Alazwari

The integration of Digital Twin Technology with Artificial Intelligence (AI) represents a transformative advancement across multiple domains. Digital twins are dynamic, real-time virtual representations of physical systems, leveraging technologies such as Internet of Things (IoT), augmented and virtual reality (AR/VR), big data analytics, 3D modeling, and cloud computing. Initially conceptualized… Read full abstract & cite →

Digital twin artificial intelligence internet of things big data predictive analytics real-time monitoring

Abstract doi.org/10.14569/IJACSA.2025.0160399 PDF

100

Improved Monte Carlo Localization for Agricultural Mobile Robots with the Normal Distributions Transform

Author 1: Brian Lai Lap Hong Author 2: Mohd Azri Bin Mohd Izhar Author 3: Norulhusna Binti Ahmad

Localization is crucial for robots to navigate autonomously in agricultural environments. This paper introduces an improved Adaptive Monte Carlo Localization (AMCL) algorithm integrated with the Normal Distributions Transform (NDT) to address the challenges of navigation in agricultural fields. 2D Light Detection and Ranging (LiDAR) measures distances to surrounding objects using… Read full abstract & cite →

Adaptive monte carlo localization normal distributions transform pose estimation precision agriculture agricultural robotics outdoor localization

Abstract doi.org/10.14569/IJACSA.2025.01603100 PDF

101

Improving Satellite Flood Image Classification Using Attention-Based CNN and Transformer Models

Author 1: Sanket S Kulkarni Author 2: Ansuman Mahapatra

Floods are among the most frequent and devastating natural disasters, significantly impacting infrastructure, ecosystems, and human communities. Accurate satellite-based flood image classification is crucial for assessing flood-affected regions and supporting emergency response efforts. This study uses Convolutional Neural Networks (CNNs) and transformer-based architectures to enhance flood classification, integrating the Convolutional… Read full abstract & cite →

CNN DenseNet ResNet101v2 VGG16 hybrid CNN model CBAM vision transformer xView2 Building Damage (xBD)

Abstract doi.org/10.14569/IJACSA.2025.01603101 PDF

102

Deep Learning-Based Behavior Analysis in Basketball Video: A Spatiotemporal Approach

Author 1: Jingyi Wang

The study of sports movement analysis technologies based on video has significant practical applications. Digital video footage, human-computer communication, as well as additional technologies can greatly improve the effectiveness of sports training. This research looks at the players’ technical proficiency in a basketball contest footage and suggests a behaviour assessment… Read full abstract & cite →

Basketball player movement analysis player technique analysis deep learning attention mechanism

Abstract doi.org/10.14569/IJACSA.2025.01603102 PDF

103

Enhancing Agile Requirements Change Management: Integrating LLMs with Fuzzy Best-Worst Method for Decision Support

Author 1: Bushra Aljohani Author 2: Abdulmajeed Aljuhani Author 3: Tawfeeq Alsanoosy

Agile Requirements Change Management (ARCM) in Global Software Development (GSD) posed significant challenges due to the dynamic nature of project requirements and the complexities of distributed team coordination. One approach used to mitigate these challenges and ensure efficient collaboration is the identification and prioritization of success factors. Traditional Multi-Criteria Decision-Making… Read full abstract & cite →

Fuzzy Best-Worst Method Large Language Models Agile Requirements Change Management Global Software Development

Abstract doi.org/10.14569/IJACSA.2025.01603103 PDF

104

Detection of Wheat Pest and Disease in Complex Backgrounds Based on Improved YOLOv8 Model

Author 1: Dandan Zhong Author 2: Penglin Wang Author 3: Jie Shen Author 4: Dongxu Zhang

Detecting wheat diseases and pests, particularly those characterized by small targets amidst complex background interference, presents a significant challenge in agricultural re-search. To address this issue and achieve precise and efficient detection, we propose an enhanced version of YOLOv8, termed MGT-YOLO, which incorporates multi-scale edge enhancement and visual remote dependency… Read full abstract & cite →

Wheat disease and pest YOLOv8 edge amplification visual remote dependency global context vision transformer

Abstract doi.org/10.14569/IJACSA.2025.01603104 PDF

105

MEXT: A Parameter-Free Oversampling Approach for Multi-Class Imbalanced Datasets

Author 1: Chittima Chiamanusorn Author 2: Krung Sinapiromsaran

Machine learning classifiers face significant challenges when confronted with class-imbalanced datasets, particularly in multi-class scenarios. The inherent skewness in class distributions often leads to biased model predictions, with classifiers struggling to accurately identify instances from underrepresented classes. This paper introduces MEXT, a novel parameter-free oversampling technique specifically designed for multi-class… Read full abstract & cite →

Class imbalance classification extreme anomalous multiclass oversampling parameter-free

Abstract doi.org/10.14569/IJACSA.2025.01603105 PDF

106

Genetic Algorithm-Driven Cover Set Scheduling for Longevity in Wireless Sensor Networks

Author 1: Ibtissam Larhlimi Author 2: Mansour Lmkaiti Author 3: Maryem Lachgar Author 4: Hicham Ouchitachen Author 5: Anouar Darif Author 6: Hicham Mouncif

This paper aims to develop an efficient scheduling approach based on Genetic Algorithms to optimize energy consumption and maximize the operational lifetime of Wireless Sensor Networks (WSNs). Effective energy management is crucial for prolonging the operational lifespan of wireless sensor networks (WSNs) that include a substantial number of sensors. Simultaneously… Read full abstract & cite →

Maximum network lifetime wireless sensor network coverage sets scheduling genetic algorithm pattern search algorithm

Abstract doi.org/10.14569/IJACSA.2025.01603106 PDF

107

A Cross-Layer Framework for Optimizing Energy Efficiency in Wireless Sensor Networks: Design, Implementation, and Future Directions

Author 1: Sami Mohammed Alenezi

Environmental monitoring, healthcare, and industrial automation are among the numerous modern applications in which Wireless Sensor Networks (WSNs) are becoming increasingly indispensable. Despite this, the scalability and endurance of these networks are still significantly impeded by the energy constraints of sensor nodes. This study proposes a novel cross-layer framework that… Read full abstract & cite →

Wireless sensor network cross-layer energy efficient performance OPNET

Abstract doi.org/10.14569/IJACSA.2025.01603107 PDF

108

A Novel Paradigm for Parameter Optimization of Hydraulic Fracturing Using Machine Learning and Large Language Model

Author 1: Chunxi Yang Author 2: Chuanyou Xu Author 3: Yue Ma Author 4: Bang Qu Author 5: Yiquan Liang Author 6: Yajun Xu Author 7: Lei Xiao Author 8: Zhimin Sheng Author 9: Zhenghao Fan Author 10: Xin Zhang

Hydraulic fracturing is a common practice in the oil and gas industry meant to increase the production of oil and natural gas. In this process, appropriate fracturing design parameters are important to maximize the efficiency of fracture propagation. However, conventional fracturing parameter design methods often rely on expert experience or… Read full abstract & cite →

Hydraulic fracturing parameter optimization large language model machine learning

Abstract doi.org/10.14569/IJACSA.2025.01603108 PDF

109

The Optimization Design of the Pattern Matrix Based on EXIT Chart for PDMA Systems

Author 1: Hanqing Ding Author 2: Jiaxue Li Author 3: Jin Xu

The maximum degree of function node of pattern matrix (PM) dominates the detection complexity of belief propagation algorithm for pattern division multiple access (PDMA) systems. This work proposes a method to search the optimal PM ensemble for PDMA system under constrained detection complexity. This issue is converted to find the… Read full abstract & cite →

PM optimization EXIT chart PDMA system

Abstract doi.org/10.14569/IJACSA.2025.01603109 PDF

110

Vulnerability Testing of RESTful APIs Against Application Layer DDoS Attacks

Author 1: Sivakumar K Author 2: Santhi Thilagam P

In recent years, modern mobile, web applications are shifting from monolithic application to microservice based application because of the issues such as scalability and ease of maintenance.These services are exposed to the clients through Application programming interface (API). APIs are built, integrated and deployed quickly.The very nature of APIs directly… Read full abstract & cite →

DDoS rate-limiting HTTP/1.1 HTTP/2 API micro service multiplexing security DoS security testing

Abstract doi.org/10.14569/IJACSA.2025.01603110 PDF

111

Adaptive Sine-Cosine Optimization Technique for Stability and Domain of Attraction Analysis

Author 1: Messaoud Aloui Author 2: Faical Hamidi Author 3: Mohammed Aoun Author 4: Houssem Jerbi

In the last few years, researchers have concentrated on estimating and maximizing the Domain of Attraction of autonomous nonlinear systems. Based on the Lyapunov theory, the proposed approach in this paper aims to give an accurate estimation of the Domain of Attraction with high performance against the existing conventional methods… Read full abstract & cite →

Domain of Attraction nonlinear autonomous systems Lyapunov function Lyapunov’s theory stability optimization Adaptive Sine-Cosine Algorithm

Abstract doi.org/10.14569/IJACSA.2025.01603111 PDF

112

SSFed: Statistical Significance Aggregation Algorithm in Federated Learning

Author 1: Yousef Alsenani

Federated learning enables collaborative model training across multiple clients without sharing raw data, where the global server aggregates local models. One of the primary challenges in this setting is dealing with non-i.i.d data, which can lead to biased aggregations, as well as the overhead of frequent communication between clients and… Read full abstract & cite →

Federated learning non-i.i.d data model aggregation privacy-preserving AI federated optimization decentralized learning data heterogeneity distributed machine learning

Abstract doi.org/10.14569/IJACSA.2025.01603112 PDF

113

Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach

Author 1: Arshad Ali Khan Author 2: Mazlina Abdul Majid Author 3: Abdulhalim Dandoush

Air pollution poses significant threats to human health and the environment, making effective monitoring increasingly essential. Traditional methods using fixed monitoring stations have challenges related to high costs and limited coverage. This paper proposes a new approach using convolutional neural networks with genetic algorithms for estimating air quality directly from… Read full abstract & cite →

Convolutional neural network Genetic Algorithm air quality estimation image processing

Abstract doi.org/10.14569/IJACSA.2025.01603113 PDF

114

Analyzing Consumer Decision-Making in Digital Environments Using Random Forest Algorithm and Statistical Methods

Author 1: Hussain Mohammad Abu-Dalbouh Author 2: Mushira Mustafa Freihat Author 3: Rayah Ismaeel Jawarneh Author 4: Mohammed Abdalwahab Mohammed Salim Author 5: Sulaiman Abdullah Alateyah

In an era characterized by the rapid digital transformation of the marketplace, understanding consumer behavior is essential for effective decision-making and the development of marketing strategies. This study investigates the impact of demographic attributes such as age, income, education, and lifestyle preferences, alongside social media engagement, on the consumer decision-making… Read full abstract & cite →

Consumer behavior demographics marketing strategies data analysis digital transformation

Abstract doi.org/10.14569/IJACSA.2025.01603114 PDF

115

A Comparative Evaluation of Ontology Learning Techniques in the Context of the Qur’an

Author 1: Rohana Ismail Author 2: Mokhairi Makhtar Author 3: Hasni Hasan Author 4: Nurnadiah Zamri Author 5: Azilawati Azizan

Ontology Learning refers to the automatic or semi-automatic process of creating ontologies by extracting terms, concepts, and relationships from text written in natural languages. This process is essential, as manually building ontologies is time-consuming and labour-intensive. The Qur'an, a vast source of knowledge for Muslims, presents linguistic and cultural complexities… Read full abstract & cite →

Ontology learning Qur’an NER statistical pattern-Based hajj

Abstract doi.org/10.14569/IJACSA.2025.01603115 PDF

116

Design of a Rural Tourism Satisfaction Monitoring System Based on the Improved INFO Algorithm

Author 1: Meihua Qiao

The increasing influx of tourists to scenic areas has raised significant security concerns, often surpassing the management capacity of these locations. Despite the growing need for effective solutions, many regions have not yet developed strategies to address these issues. This study aims to enhance rural tourist satisfaction monitoring systems to… Read full abstract & cite →

Enhanced INFO algorithm rural tourism satisfaction tourist monitoring system design collaborative positioning methodology

Abstract doi.org/10.14569/IJACSA.2025.01603116 PDF

117

Development of Cybersecurity Awareness Model Based on Protection Motivation Theory (PMT) for Digital IR 4.0 in Malaysia

Author 1: Siti Fatiha Abd Latif Author 2: Noor Suhana Sulaiman Author 3: Nur Sukinah Abd Aziz Author 4: Azliza Yacob Author 5: Akhyari Nasir

This study aims to examine the complex interplay among perceived threat severity, perceived threat vulnerability, fear, perceived response efficacy, perceived self-efficacy, and response cost using Partial Least Squares Structural Equation Modelling (PLS-SEM) via SmartPLS 4.0, grounded in the Protection Motivation Theory (PMT). The analysis is situated within the context of… Read full abstract & cite →

Cyber security information security intrusion detection IR 4.0 PLS SEM

Abstract doi.org/10.14569/IJACSA.2025.01603117 PDF