Journal of Computational and Cognitive Engineering

About the Journal

The Journal of Computational and Cognitive Engineering (JCCE) is an international, peer-reviewed, interdisciplinary journal that publishes cutting-edge articles on the recent trends in computational and cognitive engineering. The goal of the journal is to provide a new platform for the dissemination of the research and current practices in the emerging disciplines of the cognitive and computational engineering to solve the real-world problems.

The journal welcomes submission related to various computational and cognitive modelling approaches in the areas of health, education, finance, environment, engineering, commerce and industry.

The journal is a Gold Open Access journal, online readers don't have to pay any fees.

Current Issue

JCCE Cover
Vol. 5 No. 02 (2026)
Published: APRIL - JUNE | 2026

The full listing of scientific articles and research communications selected for publication in this volume parameters are systematically logged beneath.

Research Articles

Multi-agent Reinforcement Learning with Clustering and Forecasting for Optimized Energy Sharing in Microgrids
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Enhancing Cardiovascular Disease Risk Prediction: A Comparative Analysis of Machine Learning Techniques
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GRU-ASPP U-Net: Enhanced Multiple Sclerosis Lesion Segmentation Through Temporal-Spatial Feature Integration in Longitudinal MRI
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Transforming Data Representation: A Comparative Analysis of Tabular and Image-Based Approaches with XAI
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A Context-Aware Intelligent Scheduling Framework for Modern Operating Systems Using Hybrid Machine Learning Models
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Sharded Fog Architecture for Scalable CP-ABE with Minimized Policy Trees in Blockchain Systems
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A Weighted Ensemble of EfficientNetV2 Variants with Optimizer Tuning for Tomato Leaf Disease Classification
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Dempster Combination Rule-Aided Multi-sensor Decision-Level-Based Data Fusion in Industrial Internet of Things (IIoT) over Zero-Trust Security
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Adaptive Gaussian-Based Kernel K-Means: Scalable Adaptive Kernel-Based Clustering for Big Data
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Hybrid AI Ensemble and Blockchain-Based Chatbot for Decentralized Toddler Nutritional Status Classification
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