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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

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Keyword: FEM
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Open AccessArticle
10 Pages, 4,100 KB Download PDF
Optimization of Proportional Solenoid for Flow Control Valve using Recursive Method in OCTAVE and FEMM

by Tom Thampy, Emmanuel Gospel Raj Rivington and Rajath Chandrashekar
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 61-70, 2022; DOI: 10.55708/js0105007
Abstract: Proportional solenoid valves are used in various applications that require smooth control of flow or pressure. Manufacturing such valves would involve design of valve component, solenoid core and the coil for specific input and output ratings. Materials for each component of the solenoid valve need to be selected for their magnetic properties, application specific requirements… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2022 and the Section Mechanics (MEC))

Open AccessArticle
20 Pages, 2,490 KB Download PDF
Demographic Stereotype Elicitation in LLMs through Personality and Dark Triad Trait Attribution

by Nikolaos Vasileios Oikonomou, Ioannis Palaiokrassas, Dimitrios Vasileios Oikonomou, Sofia Panagiota Chaliasou and Nikolaos Rigas
Journal of Engineering Research and Sciences, Volume 5, Issue 1, Page # 46-65, 2026; DOI: 10.55708/js0501005
Abstract: This study investigates how Large Language Models (LLMs), specifically Meta LLaMA-3.1-8B-Instruct, implicitly attribute personality and Dark Triad traits to demographic personas. By prompting the model with 660 synthetic identity descriptors (constructed from balanced combinations of gender, race, religion, and region) and standardized psychometric questionnaires, we extract Likert-scale responses and compute aggregated Big Five (EACNO) and… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2025 and the Section Artificial Intelligence – Computer Science (AIC))

Open AccessArticle
9 Pages, 2,401 KB Download PDF
NNR Artificial Intelligence Model in Azure for Bearing Prediction and Analysis

by Henry Ogbemudia Omoregbee, Mabel Usunobun Olanipekun and Bright Aghogho Edward
Journal of Engineering Research and Sciences, Volume 2, Issue 6, Page # 1-9, 2023; DOI: 10.55708/js0206001
Abstract: Neural Network regression (NNR) is considered more effective as compared to multiple neural networks model readily available in Azure to evaluate the Remaining Useful Life (RUL) of bearing in this work because it performs better than other models when used and was demonstrated as a non-programing technique for analyzing enormous data without the use of… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2023 and the Section Artificial Intelligence – Computer Science (AIC))

Open AccessArticle
11 Pages, 7,028 KB Download PDF
Studies on Stress Analysis of Hip Prosthesis Implant

by Chetan Mohanlal Wani, Sachin Ratnakar Deshmukh and Ratnakar Raghunath Ghorpade
Journal of Engineering Research and Sciences, Volume 1, Issue 8, Page # 1-11, 2022; DOI: 10.55708/js0108001
Abstract: Biomedical engineering has become a solution for many biological problems by the application of principles and problem-solving techniques. Pacemakers, artificial bone replacements, 3-D printed organs, and dental replacements are very common examples of an application of engineering in the biomedical field. In medical applications when there is a need for bone replacement in a patient… Read More

(This article belongs to the Section Biomedical Engineering (BIE))

Open AccessArticle
5 Pages, 797 KB Download PDF
Impact of Gender of Lecturers’ on Learning among the College of Arts and Commerce Students’ at Andhra University

by Gordon Amidu
Journal of Engineering Research and Sciences, Volume 1, Issue 7, Page # 15-19, 2022; DOI: 10.55708/js0107003
Abstract: The purpose of this study was to determine Impact of Gender of Lecturers’ on Learning among the College of Arts and Commerce Students’ at Andhra University. Systematic data collection and analysis efforts resulted in the following findings: A question was presented to find out which lecturer gender produces difficult examination questions. According to the findings,… Read More

(This article belongs to the Section Library Science (LBS))

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