Volume 5, Issue 4

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Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2026)
Guest Editors: Prof. Paul Andrew
Deadline: 31 December 2026

Special Issue on Artificial Intelligence for Energy Transition and Decarbonization (SI-AIETD26)
Guest Editors: Dr. Elkhatib Kamal, Dr. Reza Ghorbani, Dr. Ahmed Ragab, Prof. Mohamed Kouki
Deadline: 31 December 2026

Volume 5, Issue 4 - 2 Articles

This issue presents a collection of research addressing explainable artificial intelligence, predictive maintenance, fluid mechanics, and engineering product design. The published papers examine the use of LIME and SHAP techniques to improve transparency and interpretability in SSD failure prediction systems for large-scale data center operations, and an extended fluid mechanics investigation of detergent bottle structures focusing on outlet geometry, viscosity effects, air-vent configurations, and discharge performance. Collectively, these contributions highlight the growing importance of explainable AI, data-driven maintenance strategies, industrial decision support, fluid-flow analysis, and engineering optimization in improving the reliability, efficiency, and usability of both advanced technological systems and everyday consumer products.

Editorial
Editorial
1 Page, 11,698 KB Download PDF
Front Cover

Journal of Engineering Research and Sciences, Volume 5, Issue 4, Page # i–i, 2026

Editorial
6 Pages, 897 KB Download PDF
Editorial Board

Journal of Engineering Research and Sciences, Volume 5, Issue 4, Page # ii–vii, 2026

Editorial
1 Page, 611 KB Download PDF
Editorial

by Jinhua Xiao

Journal of Engineering Research and Sciences, Volume 5, Issue 4, Page # viii–viii, 2026

Editorial
1 Page, 603 KB Download PDF
Table of Contents

Journal of Engineering Research and Sciences, Volume 5, Issue 4, Page # ix–ix, 2026

Articles
Open AccessArticle
16 Pages, 1,702 KB Download PDF
Explainable AI for SSD Failure Prediction: Using LIME and SHAP for Transparency

by Saurav Kant Kumar
Journal of Engineering Research and Sciences, Volume 5, Issue 4, Page # 1-16, 2026; DOI: 10.55708/js0504001
Abstract: Artificial Intelligence (AI) has become increasingly crucial for modern data centers for automating tasks ranging from anomaly detection to predictive maintenance. Nevertheless, a significant limitation of underlying machine learning (ML) models is their “black box” nature. This lack of transparency limits trust among stakeholders who require visibility into model decisions. We address this lack of… Read More

(This article belongs to the Section Artificial Intelligence – Computer Science (AIC))

Open AccessArticle
7 Pages, 958 KB Download PDF
An Extended Investigation of Detergent Bottle Structure Based on Fluid Mechanics

by Yeonwoo Kwon and Eunsung Jekal
Journal of Engineering Research and Sciences, Volume 5, Issue 4, Page # 17-23, 2026; DOI: 10.55708/js0504002
Abstract: This study aims to quantitatively evaluate how structural design factors of liquid detergent bottles—such as the size, position, and shape of the outlet hole, material, and the presence of an air vent—affect the discharge characteristics of viscous detergents from the perspective of fluid mechanics. Using hydrostatic pressure and Bernoulli’s principle, we theoretically derive the influence… Read More

(This article belongs to the Section Fluids and Plasma Physics (FPP))

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