Volume 4, Issue 4

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Volume 4, Issue 4 - 3 Articles

This issue presents three research articles that tackle key global challenges through smart, sustainable technologies. The first study focuses on hybrid energy storage in microgrids, combining batteries and supercapacitors to improve efficiency, reduce costs, and support reliable renewable energy systems. The second article explores how AI is transforming industries, highlighting real-world applications in supply chains, manufacturing, and business decision-making while stressing the need for ethical and responsible use. The third introduces a powerful AI-based model for early breast cancer detection, achieving high accuracy and precision. Together, these studies show how innovation can drive progress in energy, industry, and healthcare.

Editorial
Editorial
1 Page, 1,018 KB Download PDF
Front Cover

Journal of Engineering Research and Sciences, Volume 4, Issue 4, Page # i–i, 2025

Editorial
2 Pages, 754 KB Download PDF
Editorial Board

Journal of Engineering Research and Sciences, Volume 4, Issue 4, Page # ii–iii, 2025

Editorial
2 Pages, 770 KB Download PDF
Editorial

by Jinhua Xiao

Journal of Engineering Research and Sciences, Volume 4, Issue 4, Page # iv–v, 2025

Editorial
1 Page, 718 KB Download PDF
Table of Contents

Journal of Engineering Research and Sciences, Volume 4, Issue 4, Page # vi–vi, 2025

Articles
Open AccessArticle
7 Pages, 4,141 KB Download PDF
Cost & Efficiency analysis of Battery & SC based Hybrid Energy Storage system for Solar OFF Grid applications

by Rahul Kotana
Journal of Engineering Research and Sciences, Volume 4, Issue 4, Page # 1-7, 2025; DOI: 10.55708/js0404001
Abstract: This study evaluates the feasibility, efficiency, and cost-effectiveness of a Hybrid Energy Storage System (HESS) for a 30KW Microgrid. The research analyses various storage configurations incorporating batteries and supercapacitors, considering factors such as cost, reliability, and performance. While conventional Battery Energy Storage Systems (BESS) offer lower initial costs, they suffer from long-term reliability issues due… Read More

(This article belongs to the Section Electrical Engineering (ELE))

Open AccessArticle
12 Pages, 281 KB Download PDF
AI-Driven Digital Transformation: Challenges and Opportunities

by Maikel Leon
Journal of Engineering Research and Sciences, Volume 4, Issue 4, Page # 8-19, 2025; DOI: 10.55708/js0404002
Abstract: This paper explores the crucial role of Artificial Intelligence (AI) in driving digital transformation across industries. It examines machine learning, deep learning, fuzzy logic, genetic algorithms, reinforcement learning, and generative AI techniques, highlighting their development, applications, and examples. Case studies showcase AI’s impact in optimizing supply chains, improving financial operations, boosting customer engagement, and revolutionizing… Read More

(This article belongs to the Special Issue on SP7 (Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2025)) and the Section Artificial Intelligence – Computer Science (AIC))

Open AccessArticle
11 Pages, 1,724 KB Download PDF
Enhancing Breast Cancer Detection through a Hybrid Approach of PCA and 1D CNN

by Samet Aymaz
Journal of Engineering Research and Sciences, Volume 4, Issue 4, Page # 20-30, 2025; DOI: 10.55708/js0404003
Abstract: Breast cancer is a prevalent disease, particularly among women. Unlike many other cancers, early diagnosis and treatment can significantly improve patients’ quality of life. This study develops a hybrid approach for breast cancer detection using the Wisconsin datasets by combining Principal Component Analysis (PCA) and 1D Convolutional Neural Network (CNN) architectures to effectively separate and… Read More

(This article belongs to the Special Issue on SP7 (Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2025)) and the Section Artificial Intelligence – Computer Science (AIC))

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