Volume 22, Issue 2 (2026) | Journal of Computer Science

Comparison of an AI-Based Controller for a Positive Output Superlift DC-DC Converter

Richa Adlakha — 2026-02-17

Journal of Computer Science, Published online: 17 February 2026; doi:10.3844/jcssp.2026.378.388

DC-DC converters have emerged as crucial components in various industrial applications and form an integral part of power supplies based on switch-mode. Solar energy has garnered increasing significan...

Identification of Influential Nodes With Topological Structure Via GRAPH Neural Network (GNN) Approach in Social Media Networks

Rajnish Kumar — 2026-02-17

Journal of Computer Science, Published online: 17 February 2026; doi:10.3844/jcssp.2026.389.409

The amount of data in social networks is vast these days, and constantly changing, making influential node identification crucial. The existing topologies are constantly changing due to the evolving b...

Design and Implementation of an IoT-Based Application for Export-Import (EXIM) Document Management

Julia Loisa — 2026-02-18

Journal of Computer Science, Published online: 18 February 2026; doi:10.3844/jcssp.2026.410.419

International trade in the Export-Import (EXIM) sector is a key driver of global economic growth. However, EXIM document management still faces challenges such as data inconsistencies, input delays, a...

A Dynamic Lifelong Learning Network for Real-Time Stock Prediction With Reinforcement Tuning

Talent Mawere — 2026-02-20

Journal of Computer Science, Published online: 20 February 2026; doi:10.3844/jcssp.2026.420.434

Companies and investors require accurate market forecasting to make more informed decisions. Traditional methods for predicting stock market performance have become less useful considering the dynam...

Systematic Literature Review of Graph Neural Networks in Disaster Management: Methods, Applications, and Future Directions

Sularno — 2026-02-17

Journal of Computer Science, Published online: 17 February 2026; doi:10.3844/jcssp.2026.435.451

The increasing frequency and complexity of natural disasters underscore the urgent need for intelligent systems that support timely and effective decision-making. Graph Neural Networks (GNNs) have eme...

Intelligent Traffic Light System Using Convolutional Neural Network to Optimize Vehicle Flow in Indonesia

Bhustomy Hakim — 2026-02-17

Journal of Computer Science, Published online: 17 February 2026; doi:10.3844/jcssp.2026.452.460

Traffic congestion remains a persistent challenge in major Indonesian cities due to rapidly increasing vehicle density and the continued reliance on fixed-time traffic signal scheduling. This study ai...

A Hybrid Grey Wolf Optimizer and Deep Transfer Learning-Based Intrusion Detection System for IoT

Kapil Shrivastava — 2026-02-17

Journal of Computer Science, Published online: 17 February 2026; doi:10.3844/jcssp.2026.461.474

The rapid proliferation of Internet of Things (IoT) devices has driven significant advancements in connectivity and automation, but it has also introduced substantial cybersecurity risks, including in...

A Multiphase Zero-Trust Authentication Framework Using Replicated and Homomorphic Encryption

Modisaotsile Marope — 2026-02-19

Journal of Computer Science, Published online: 19 February 2026; doi:10.3844/jcssp.2026.475.486

In response to the increasing complexity and vulnerability of traditional authentication techniques, this paper proposes the Multiphase Zero-Trust Authentication Framework (MZTAF), which combines devi...

A Systematic Literature Review on Data Integration: Issues, Data Types, Architecture

Mimi Haryani Tasani — 2026-02-18

Journal of Computer Science, Published online: 18 February 2026; doi:10.3844/jcssp.2026.487.503

Data integration is an important process that enables organizations to merge data from various sources, creating a consolidated viewpoint that supports better decision-making, increased effectiveness,...

An Integrated Disease Progression Model to Analyze Electronic Health Records With Multimodal Datasets Using Deep Learning Techniques

Thulaganyo Dimakatso — 2026-02-19

Journal of Computer Science, Published online: 19 February 2026; doi:10.3844/jcssp.2026.504.516

In contemporary clinical environments, precisely simulating the emergence of disease is an intricate task owing to heterogeneously derived data and variability in the record of diagnoses. The research...

A Safe Method of Storing and Exchanging Electronic Health Records Using Smart Contracts and Blockchain Technology Using Fully Hashed Menezes-Qu-Vanstone Algorithm

Meenakshi Vashisth — 2026-02-21

Journal of Computer Science, Published online: 21 February 2026; doi:10.3844/jcssp.2026.517.530

Electronic Health Records (EHRs) are essential for clinicians, patients, and researchers because they support timely care and informed decision-making. For this reason, digital health information must...

Time Series Analysis for Predicting Tea Harvest Yield: A SARIMAX-Based Approach

Pallavi Nagpal — 2026-02-19

Journal of Computer Science, Published online: 19 February 2026; doi:10.3844/jcssp.2026.531.539

Precise prediction of tea yield is crucial for both agricultural planning and economic forecasting. Projection of the future trends, which rely on present and historical data, is the process termed 'f...

A Metaheuristic-Optimized Feature Selection for Early-Stage Diabetes Prediction With SHAP-Guided Insight into Inﬂuential Attributes

Esmay Azam Rochy — 2026-02-24

Journal of Computer Science, Published online: 24 February 2026; doi:10.3844/jcssp.2026.540.551

Diabetes is a metabolic disorder that causes elevated blood glucose. This long-term health condition can lead to cardiovascular diseases, stroke, kidney failure, visual impairment, neuropathy, and eve...

Optimized WFST-Based ASR for Arabic: Balancing Memory, Speed, and Accuracy

Wael A. Sultan — 2026-02-23

Journal of Computer Science, Published online: 23 February 2026; doi:10.3844/jcssp.2026.552.565

Weighted Finite-State Transducers (WFSTs) have revolutionized Automatic Speech Recognition (ASR) by enabling significantly faster decoding speeds compared to traditional systems that build the search ...

A Novel Approach Based on Federated Learning for the Identification of Man in the Middle Attacks in IOT Networks Using Blockchain

Sarumathi S — 2026-02-23

Journal of Computer Science, Published online: 23 February 2026; doi:10.3844/jcssp.2026.566.578

Federated Learning (FL) enables cooperative model training across dispersed edge devices while protecting data privacy and providing localized insights without the need for centralized data aggregatio...

An Approach to Query Reformulation in Cross Lingual Information Retrieval Emphasizing Term Placement

Amit Asthana — 2026-02-23

Journal of Computer Science, Published online: 23 February 2026; doi:10.3844/jcssp.2026.579.588

The effectiveness of retrieving relevant information is often hindered by ambiguous and short queries, compounded by often imprecise initial translation in Cross Lingual Information Retrieval (CLIR). ...

Cascaded MNetV3UNet: A Lightweight Two-Stage Architecture for High-Precision Brain Tumor Segmentation in MRI

Mayuri Popat — 2026-02-23

Journal of Computer Science, Published online: 23 February 2026; doi:10.3844/jcssp.2026.589.604

Precise brain tumor segmentation is an essential but quite challenging process in MRI images because of their irregular shapes, heterogeneous appearance, and low contrast with surrounding tissues. Whi...

A Comparative Study of Resampling, Cost-Sensitive, and Ensemble Techniques for Handling Class Imbalance in Indonesian Financial Data

Gunawan Kurnia — 2026-02-27

Journal of Computer Science, Published online: 27 February 2026; doi:10.3844/jcssp.2026.605.617

Handling class imbalance is a critical challenge in machine learning applications, particularly in financial domains where minority instances often represent significant anomalies such as fraud or aud...

Advancing Stroke Lesion Segmentation With U-Net Variants: Classical, Transfer Learning, and MRI Sequence-Specific Customized Approaches

Sonia Flora Panesar — 2026-02-27

Journal of Computer Science, Published online: 27 February 2026; doi:10.3844/jcssp.2026.618.630

Ischemic stroke, caused by restricted cerebral blood flow, is a leading cause of death and disability worldwide. Accurate segmentation of stroke lesions in MRI is essential for timely diagnosis but re...

Design of a Synchronous Reference Frame Controlled Fuzzy Logic Based Distribution Static Compensator to Enhance Distribution System Power Quality

Rekha Sampath — 2026-02-27

Journal of Computer Science, Published online: 27 February 2026; doi:10.3844/jcssp.2026.631.648

The demand for enhanced power quality in distribution systems has increased due to the widespread utilization of various AC loads, including rectifiers, inductive loads, and variable speed drives. Whe...

CRISP-DM-Based Mobile Application for Predicting High-Crime Areas in Metropolitan Lima

Hugo Vega Huerta — 2026-02-27

Journal of Computer Science, Published online: 27 February 2026; doi:10.3844/jcssp.2026.649.659

The city of Lima, Peru, has been facing a serious climate of citizen security that has risen extremely high in recent years. The objective of this work is to identify and predict areas of high crime i...

A Systematic Review of Metaheuristic-Metaheuristic (MH-MH) Hybridizations for Optimization

Augustina Dede Agor — 2026-03-04

Journal of Computer Science, Published online: 4 March 2026; doi:10.3844/jcssp.2026.660.678

This systematic review following the PRISMA framework analyzes metaheuristic-metaheuristic (MH-MH) hybridizations published between January and October 2024 to uncover patterns of algorithmic dominanc...

Detecting Anomalies in IoT Using Intuitionistic Fuzzy Clustering Algorithms

Vijo Arul Selvi M. — 2026-03-02

Journal of Computer Science, Published online: 2 March 2026; doi:10.3844/jcssp.2026.679.692

Intuitionistic Fuzzy Sets (IFS) are convenient ways to represent the vagueness and uncertainty inherent in any dataset. There are many uses of these. One such use is the Fuzzy C-Means (FCM) algorithm,...

A Novel Approach for Differentiating AI-Generated and Real Images Using Gabor and Color Layout Filters (GF and CLF)

G. Ayyappan — 2026-03-03

Journal of Computer Science, Published online: 3 March 2026; doi:10.3844/jcssp.2026.693.707

The emergence of generative AI images has profoundly upended the art world. Distinguishing AI-generated images from human-created artwork is increasingly challenging. If this issue remains unresolved,...

Neurofeedback Therapy Meets Transformers: Rewiring Sleep Disorders Through AI-Driven EEG Modulation

Amala Ann KA — 2026-03-03

Journal of Computer Science, Published online: 3 March 2026; doi:10.3844/jcssp.2026.708.723

Sleep disorders such as insomnia, sleep Apnea, and hypersomnia significantly impair neurophysiological functioning, yet conventional treatments like Cognitive Behavioral Therapy for Insomnia (CBT-I) r...

A Distillation GAN Model for Network Intrusion Detection

Chandrakala C B — 2026-03-05

Journal of Computer Science, Published online: 5 March 2026; doi:10.3844/jcssp.2026.724.737

This study presents a distillation-based Generative Adversarial Network (GAN) model designed for intrusion detection in network systems. A Teacher-Student architecture is proposed, in which a single t...

An Intelligent System for Cardiovascular Disease Prediction Using Deep Learning

Deepika Arora — 2026-03-09

Journal of Computer Science, Published online: 9 March 2026; doi:10.3844/jcssp.2026.738.746

Heart disease remains among the major causes of death in the world. Hence, accurate and reliable prediction schemes are key. To detect the presence of diseases in early stages, data mining and deep le...