Volume 4, Issue 5 - 3 Articles
This issue presents three research articles that showcase innovative solutions for improving utilities, manufacturing, and energy systems. The first study uses deep learning to classify water quality, with a Multilayer Perceptron model achieving near-perfect accuracy for real-time potability assessment. The second introduces an in-mold sensor system for injection molding, enabling precise, real-time defect detection to improve product quality and reduce waste. The third explores using existing oil and gas seabed pipelines for high-voltage power transmission, offering a cost-effective and efficient alternative to conventional submarine cables. Together, these studies highlight how smart technologies and creative engineering can drive efficiency, sustainability, and reliability in modern infrastructure.
Front Cover
Journal of Engineering Research and Sciences, Volume 4, Issue 5, Page # i–i, 2025
Editorial Board
Journal of Engineering Research and Sciences, Volume 4, Issue 5, Page # ii–iii, 2025
Editorial
by Jinhua Xiao
Journal of Engineering Research and Sciences, Volume 4, Issue 5, Page # iv–v, 2025
Table of Contents
Journal of Engineering Research and Sciences, Volume 4, Issue 5, Page # vi–vi, 2025
Water Potability Prediction Using Neural Networks
by Ranyah Taha, Fuad Musleh and Abdel Rahman Musleh
Journal of Engineering Research and Sciences, Volume 4, Issue 5, Page # 1-9, 2025; DOI: 10.55708/js0405001
Abstract: The crucial need for maintaining specific water potability levels depending on the sector of utilization, this is becoming increasingly challenging due to the increased pollution. It is therefore important to have fast and reliable water potability assessment techniques. A subset of Machine Learning (ML); being Deep Learning (DL), can be utilized to develop models capable… Read More
(This article belongs to the Special Issue on SP6 (Special Issue on Computing, Engineering and Sciences (SI-CES 2024-25)) and the Section Artificial Intelligence – Computer Science (AIC))
Cavity Sensing for Defect Prevention in Injection Molding
by Oumayma Haberchad and Yassine Salih-Alj
Journal of Engineering Research and Sciences, Volume 4, Issue 5, Page # 10-19, 2025; DOI: 10.55708/js0405002
Abstract: Real-time monitoring of injection molding parameters plays a pivotal role in enhancing product quality, reducing defects and improving production. This study presents a cavity data acquisition system for real time monitoring of process parameters inside the mold. The system consists of non-destructive in-mold sensors that monitor the status of the melt within the cavities. Furthermore,… Read More
(This article belongs to the Special Issue on SP6 (Special Issue on Computing, Engineering and Sciences (SI-CES 2024-25)) and the Section Manufacturing Engineering (MNE))
Electric Transmission from Sarawak to Singapore Using Cable Suspended within O&G Pipes
by Prashobh Karunakaran, Mohd Shahril Oaman, Salim Sulaiman Maaji and Chee Cheng Sung
Journal of Engineering Research and Sciences, Volume 4, Issue 5, Page # 20-33, 2025; DOI: 10.55708/js0405003
Abstract: Running HV cables within pipes has been done since the 1970s but not fully utilizing the piping expertise developed by the O&G industry since 1859. The O&G industry has laid pipes on the seabed over a vast area north of Sarawak. This research studies the feasibility of utilizing this available industry to send power from… Read More
(This article belongs to the Section Electrical Engineering (ELE))