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))
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))