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.
Front Cover
Journal of Engineering Research and Sciences, Volume 4, Issue 4, Page # i–i, 2025
Editorial Board
Journal of Engineering Research and Sciences, Volume 4, Issue 4, Page # ii–iii, 2025
Editorial
by Jinhua Xiao
Journal of Engineering Research and Sciences, Volume 4, Issue 4, Page # iv–v, 2025
Table of Contents
Journal of Engineering Research and Sciences, Volume 4, Issue 4, Page # vi–vi, 2025
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))
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))
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))