Volume 22, Issue 5 (2026) | Journal of Computer Science

Optimized Wireless Sensor Network Clustering Using a Hybrid Firefly–Bat Algorithm (HFBA)

J. Jegan — 2026-05-19

Journal of Computer Science, Published online: 19 May 2026; doi:10.3844/jcssp.2026.1494.1509

Wireless Sensor Networks (WSNs) are composed of numerous sensor nodes that collaborate to observe and evaluate various environmental parameters, transmitting the data to a central base station. Each n...

A Systematic Review of Adversarial Attacks: ML Techniques, Classification and Countermeasures

Bhavesh Kumar Sharma — 2026-05-19

Journal of Computer Science, Published online: 19 May 2026; doi:10.3844/jcssp.2026.1510.1520

Machine Learning (ML) and Deep Learning (DL)-based technologies have made significant strides in areas such as computer vision, natural language processing, and autonomous systems. Yet they have bee...

Improving Clustering Robustness through Fuzzy Ensemble of K-Means and Mean Shift

LNC. Prakash K. — 2026-05-20

Journal of Computer Science, Published online: 20 May 2026; doi:10.3844/jcssp.2026.1521.1531

Ensemble clustering has emerged as a powerful strategy to improve the robustness and accuracy of unsupervised learning, particularly when individual algorithms struggle with noisy, heterogeneous, or h...

Hybrid BiGRU-BiLSTM Model for Real-Time ECG Arrhythmia Detection Using Wearable Sensors

Prem Narayan Singh — 2026-06-05

Journal of Computer Science, Published online: 5 June 2026; doi:10.3844/jcssp.2026.1532.1538

Accurate and real-time detection of cardiac arrhythmias is essential for timely medical intervention. Advances in wearable devices and deep learning have made it feasible to continuously monitor elect...

MedFusion: A Unified Multimodal Framework for Visual Question Answering and Explainable Medical Recommendation

Satyajit Mahapatra — 2026-05-20

Journal of Computer Science, Published online: 20 May 2026; doi:10.3844/jcssp.2026.1539.1551

In clinical decision-making, the ability to ask visual questions about medical images and receive accurate, personalized, and interpretable recommendations can significantly enhance practitioner suppo...

Optimizing Bias Detection in Tweets Using Bayesian Probabilistic Model

Prasanth G Rao — 2026-05-19

Journal of Computer Science, Published online: 19 May 2026; doi:10.3844/jcssp.2026.1552.1568

Content moderation on social media faces persistent challenges from inconsistent evaluation shaped by subjective judgment and subtle semantic variations. This work proposes a Bayesian probabilistic fr...

Ensemble Learning-Based Hybrid Explainable Intrusion Detection System With SMOTE for Enhanced Detection and Interpretability in Cybersecurity

Mohammad Subhi Al-Batah — 2026-05-19

Journal of Computer Science, Published online: 19 May 2026; doi:10.3844/jcssp.2026.1569.1576

With cyberattacks becoming increasingly sophisticated, there is a growing need for Intrusion Detection Systems (IDS) that are both accurate and interpretable. This study introduces a hybrid IDS framew...

Exploring Self-Sovereign Identity Through a Digital Transcript Proof-of-Concept

Naphat Khajohn-Udomrith — 2026-05-21

Journal of Computer Science, Published online: 21 May 2026; doi:10.3844/jcssp.2026.1577.1595

Credential forgery presents a significant threat to the integrity of academic and employment documents. While Self-Sovereign Identity (SSI) and Verifiable Credentials (VC) offer a decentralized altern...

Addressing Emergency Communication Challenges: Deep Learning Solutions for the Speech and Hearing- Impaired

Poornima B V — 2026-06-01

Journal of Computer Science, Published online: 1 June 2026; doi:10.3844/jcssp.2026.1596.1610

Emergency communication plays a very important role in ensuring that help reaches people promptly and safely in case of any emergency. However, the biggest problem faced by those who cannot speak and ...

Animal Health Prediction Using Hybrid CNN Based BiLSTM Classification Model: A Deep Learning Approach

J. Rathi — 2026-05-20

Journal of Computer Science, Published online: 20 May 2026; doi:10.3844/jcssp.2026.1611.1619

Accurate prediction of animal diseases is vital in veterinary medicine, as it can substantially enhance animal health outcomes and mitigate economic losses, making it a critical task that warrants att...

Hybrid Soft Voting Ensemble of XGBoost and DNN for At-Risk Student Performance Prediction

Eugene Wan — 2026-05-28

Journal of Computer Science, Published online: 28 May 2026; doi:10.3844/jcssp.2026.1620.1635

Early identification of at-risk students in higher education is important for timely academic intervention, yet conventional prediction methods often struggle with data imbalance and limited model pre...

Understanding Artificial Intelligence Adoption in Vietnam: An Organizational-Level Analysis

Duong Quang Khanh — 2026-05-23

Journal of Computer Science, Published online: 23 May 2026; doi:10.3844/jcssp.2026.1636.1648

This study examines the level, determinants, and perceived outcomes of Artificial Intelligence (AI) adoption in Vietnamese organizations using survey data from 142 employees and managers across multip...

Leveraging Machine Learning Techniques to Analyze Consumer Mindset Metrics Embedded in Arabic Dialect Texts Across Social Media Platforms

Safa Khaled Al Sarairah — 2026-06-05

Journal of Computer Science, Published online: 5 June 2026; doi:10.3844/jcssp.2026.1649.1665

As social media grows in popularity around the world, analyzing Arabic texts on these platforms can provide important insights into consumer attitudes and behavior. The complexity and diversity of Ara...

Enhancing Sentiment Analysis for Malayalam With mBERT: A Profoundly Transparent and Accurate Approach Using LIME

Anitha R. — 2026-06-02

Journal of Computer Science, Published online: 2 June 2026; doi:10.3844/jcssp.2026.1666.1678

The overlapping sentiment boundaries, intensifiers, and intricate morphological structures in Malayalam present particular difficulties for sentiment analysis, making it hard for traditional machine l...

A Coding Schema-Based Mobile System for Children With ASD in Mauritania

Cheikhne Mohamed Mahmoud Seyidi — 2026-05-25

Journal of Computer Science, Published online: 25 May 2026; doi:10.3844/jcssp.2026.1679.1688

Children with Autism Spectrum Disorders (ASD) in many African countries face persistent barriers, including limited diagnostic awareness, scarce specialized resources, and the absence of educational i...

A Sentiment-Based Evaluation of Museum Display Design through Hybrid IndoBERT and Rule-Based Lexicon

Erneza Dewi Krishnasari — 2026-05-30

Journal of Computer Science, Published online: 30 May 2026; doi:10.3844/jcssp.2026.1689.1702

Traditional museums remain vital cultural institutions but face persistent challenges in engaging contemporary audiences. The Wayang Museum in Indonesia, despite partial digital renovation, continues ...

SEAchain: A Privacy-Preserving Dual-Credential Model on Blockchain

S. Balachander — 2026-05-25

Journal of Computer Science, Published online: 25 May 2026; doi:10.3844/jcssp.2026.1703.1720

All facets of daily life are now impacted by transaction data. The complex and heterogeneous network created by millions of users, devices, online services, and applications makes digital identity man...

Evaluation of Machine Learning Models to Predict Student Academic Performance Using Structured Educational Data

Hardik Ishwarbhai Patel — 2026-05-26

Journal of Computer Science, Published online: 26 May 2026; doi:10.3844/jcssp.2026.1721.1742

This study analyses the use of machine learning for predicting the academic performance of students using their academic information from the institution, combined with socio-economic information that...

From Digital Engagement to Social Welfare: Measuring the Impact of the mSmart Application in a Developing Region

Hendro Nindito — 2026-05-25

Journal of Computer Science, Published online: 25 May 2026; doi:10.3844/jcssp.2026.1743.1752

The mSmart platform, introduced as a pilot initiative in Labuan Bajo, Indonesia, was developed to strengthen community participation in local digital services. This study explores the extent to which ...

A Sentiment-Aware Hybrid Ensemble Clustering Framework for Social Network Content Analysis and Community Discovery

Dhimesh Pravinbhai Parmar — 2026-05-26

Journal of Computer Science, Published online: 26 May 2026; doi:10.3844/jcssp.2026.1753.1766

Social media stages produce huge volumes of short, familiar, and sentiment-rich content that offerings significant encounter for community discovery and thematic analysis. Traditional clustering appro...