Volume 22, Issue 8 (2026) | Journal of Computer Science

A Sentiment Analysis Approach for Affective State Recognition With SWISH-Activated DenseNet-169 in Human Event Forecasting

Karthik Elangovan — 2026-07-29

Journal of Computer Science, Published online: 29 July 2026; doi:10.3844/jcssp.2026.2367.2384

Detecting human feelings from images is perhaps one of the most useful and challenging social communication problems in research. Emotion detection-based deep computing outperforms classic image proce...

Hybrid Data Security Approach Based on GAN Teganographyand AES-RSA Encryption in a Distributed System

Derrick Méthode Bagaza — 2026-07-28

Journal of Computer Science, Published online: 28 July 2026; doi:10.3844/jcssp.2026.2385.2398

Data security in distributed environments has become a major challenge due to the dispersion of resources, the expansion of the attack surface, and the increasing sophistication of cyber threats. Alth...

Prioritized Experience Replay-Based Deep Deterministic Policy Gradient for Reliable Path Selection in SDN-IoT Networks

Gaurav Kumar — 2026-08-04

Journal of Computer Science, Published online: 4 August 2026; doi:10.3844/jcssp.2026.2399.2410

Routing optimization is becoming prominent in Software-Defined Networks (SDN) due to the exponential growth of network traffic demands and the requirement for Quality of Service (QoS). However, reliab...

An Optimized YOLOv11-Based Deep Learning Framework With CNN Feature Enhancement for Tile Crack Detection

Vinod Kumar Pal — 2026-08-12

Journal of Computer Science, Published online: 12 August 2026; doi:10.3844/jcssp.2026.2411.2424

The tile business is a critical part of the national economic development, as it is one of the areas that provides employment, produces goods, and exports them. Regardless of its significance, there a...

FL-CARE: Federated Learning-Based Contention-Aware and Energy-Balanced Routing for Dense FANETs

Halimjon Khujamatov — 2026-08-13

Journal of Computer Science, Published online: 13 August 2026; doi:10.3844/jcssp.2026.2425.2443

In dense multi-drone FANET environments, routing efficiency is often reduced due to constant competition for a wireless channel, frequent changes in network topology, and uneven energy consumption bet...

Detecting Novelty in Indonesian Research Grant Proposals Using Machine Learning and Natural Language Processing

Walanstar Alimcan Sitorus — 2026-08-08

Journal of Computer Science, Published online: 8 August 2026; doi:10.3844/jcssp.2026.2444.2455

Assessing the novelty of research proposals represents a critical challenge in large-scale research grant management, particularly when the number of submitted proposals is substantial and topic diver...

Explainable MedAttn-ResNet50 for Automated Kidney Tumor Classification from CT Images With Grad-CAM Visualization

D. Vetrithangam — 2026-08-13

Journal of Computer Science, Published online: 13 August 2026; doi:10.3844/jcssp.2026.2456.2467

Kidney tumor classification from CT imaging remains challenging due to CT-specific intensity variations, tumor heterogeneity, and limited clinically meaningful interpretability in existing deep learni...

Influence of E-Service Quality Dimensions on Repurchase Intention for Digital Products: The Role of Satisfaction and Trust Among Young Consumers in Chattogram City, Bangladesh

Mohammad Toufiqur Rahman — 2026-08-18

Journal of Computer Science, Published online: 18 August 2026; doi:10.3844/jcssp.2026.2468.2483

This study aims to analyze the digital product marketplace in Chattogram, Bangladesh by investigating the influence of e-service quality dimensions, namely reliability, responsiveness, security, and c...

Enhancing SQL Injection Detection: A Machine Learning Approach Using Network Flow Data

P. Vinoth — 2026-08-18

Journal of Computer Science, Published online: 18 August 2026; doi:10.3844/jcssp.2026.2484.2502

Background: SQL injection is one of the cyberattacks which occurs in web application vulnerabilities. It targets the poor input validation and enables the attackers to inject malicious queries into th...

A Data Mining Driven Framework for Image-Based Crop Stress Analysis Using IPCA, FP-Growth, ConvLSTM, and Sequential Models

A. Josephine — 2026-08-21

Journal of Computer Science, Published online: 21 August 2026; doi:10.3844/jcssp.2026.2503.2518

Detecting crop stress before it becomes serious has a major impact on the food supply. It helps in avoiding the loss of crops, increases productivity and helps farmers to practice precision farming. M...

Morphological Database and Quantification of Liberica Coffee Beans Using a Hybrid CNN Model

Dioneces O. Alimoren — 2026-08-24

Journal of Computer Science, Published online: 24 August 2026; doi:10.3844/jcssp.2026.2519.2527

Traditional evaluation of Liberica coffee (Kapeng Barako) in Batangas is commonly performed through manual visual inspection and sensory judgment, which are slow, subjective, and difficult to reproduc...

Machine Learning Based Prediction of Catch Yields in Small Scale Fisheries

Epifelward Niño Olaivar Amora — 2026-08-24

Journal of Computer Science, Published online: 24 August 2026; doi:10.3844/jcssp.2026.2528.2539

Small-scale fisheries are critical for food security and livelihoods but increasingly face threats from overfishing and environmental change. This study employed machine learning to predict catch yiel...

A Systematic Review of Artificial Intelligence and Deep Learning Approaches for Cocoa Pod Disease Detection

Henry Techie-Menson — 2026-09-08

Journal of Computer Science, Published online: 8 September 2026; doi:10.3844/jcssp.2026.2540.2572

Cocoa pod diseases destroy an estimated 700,000 metric tons of cocoa annually, threatening 40–50 million smallholder farmers across tropical regions. Accurate field diagnosis remains constrained by ...

Ensemble Feature Selection for Elderly Health Condition Classification

Rattanawadee Panthong — 2026-08-31

Journal of Computer Science, Published online: 31 August 2026; doi:10.3844/jcssp.2026.2573.2589

Feature selection is a pivotal technique for constructing classification models with high-dimensional data. It facilitates the identification and elimination of redundant or irrelevant features, there...

Human Activity Recognition at the Edge: A Systematic Review of Machine Learning Models, Deployment Constraints, and Latency Energy Accuracy Trade offs

Jose Antonio Rojas Guillén — 2026-09-07

Journal of Computer Science, Published online: 7 September 2026; doi:10.3844/jcssp.2026.2590.2616

Human Activity Recognition (HAR) has become a key component of intelligent healthcare monitoring, assisted living, sports analytics, smart environments, and wearable computing. However, the migration ...

Empowering Small Language Models With Chain of Thought and Parameter Efficient Fine Tuning for Efficient Deep Reasoning

Aryan Raina — 2026-09-08

Journal of Computer Science, Published online: 8 September 2026; doi:10.3844/jcssp.2026.2617.2632

Small Language Models (SLMs) run faster and fit on modest hardware, yet solving multi-step logic problems has traditionally been difficult for them. This work investigates a systematic, multi-model fr...

Lightweight Deep Learning Model for TFT-LCD Pixel Defect Detection Using MobileNetV2

J. Sheikshabjan — 2026-09-08

Journal of Computer Science, Published online: 8 September 2026; doi:10.3844/jcssp.2026.2633.2641

The proposed methodology aims to achieve high classification accuracy while maintaining computational efficiency and minimizing inference latency, making it highly suitable for real-time industrial in...

An Adaptive Detail Preserving Modified Progressive Pca Thresholding Based Image Denoising

N. Anilkumar — 2026-09-08

Journal of Computer Science, Published online: 8 September 2026; doi:10.3844/jcssp.2026.2642.2651

Radiologists use medical imaging tools to assess the anatomy and function of interior organs. However, medical images are frequently distorted by various types of noise generated during the capture, t...

Abstractive Summarization of Long Educational Transcripts in the Era of GenAI

Deepa Fernandes — 2026-09-07

Journal of Computer Science, Published online: 7 September 2026; doi:10.3844/jcssp.2026.2652.2664

The surge in online video data presents the imperative requirement of summarizing it for information compression, efficient understanding, and to support decision-making. Recent research studies have ...

Chronic Lung Disease Identification in Chest CT Scans Through Hybrid Deep Transfer Learning Framework

Garima Jain — 2026-09-09

Journal of Computer Science, Published online: 9 September 2026; doi:10.3844/jcssp.2026.2665.2681

Accurate and timely diagnosis is essential for successful treatment of chronic pulmonary conditions, particularly lung tumours. To capture more complicated pathological characteristics, diagnostic alg...