Volume 4, Issue 4 (August 2025) - Articles
Journal of Engineering Research and Sciences, Volume 3, Issue 8, Page # i-i, 2024
Journal of Engineering Research and Sciences, Volume 3, Issue 8, Page # i-i, 2024
by ABCÂ and DEF
Journal of Engineering Research and Sciences, Volume 3, Issue 8, Page # i-i, 2024
Journal of Engineering Research and Sciences, Volume 3, Issue 8, Page # i-i, 2024
by Rahul Kotana
Journal of Engineering Research and Sciences, Volume 4, Issue 4, Page # 1-7, 2025; DOI:Â 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 to frequent replacements… Read More
(This article belongs to the Section Engineering and Technology: Electrical Engineering (ELE)
by Maikel Leon
Journal of Engineering Research and Sciences, Volume 4, Issue 4, Page # 8-19, 2025; DOI:Â 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 quality control in manufacturing, underscoring its strategic importance… Read More
(This article belongs to the Special Issue Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 & Section Computer Science and Information Technology: Artificial Intelligence – Computer Science (AIC))
by Samet AYMAZ
Journal of Engineering Research and Sciences, Volume 4, Issue 4, Page # 20-30, 2025; DOI:Â 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 classify data… Read More
(This article belongs to the Special Issue Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 & Section Computer Science and Information Technology: Artificial Intelligence – Computer Science (AIC))
