Results (107)
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Keyword: ODESuperconductivity Research Method Based on Atomic Properties and Hole-Electron Tensor
by Guohua Zhang and Xiyu Zhang
Journal of Engineering Research and Sciences, Volume 5, Issue 6, Page # 27-38, 2026; DOI: 10.55708/js0506003
Abstract: The microscopic mechanism of superconducting critical temperature (Tc) remains a long-standing unsolved problem in condensed matter physics. Based on de Broglie's matter wave theory, this work introduces the concepts of superconducting gene (SCG) and superconducting DNA (SCD). A phenomenological model is proposed that relates Tc to the number of orbital electron-hole pairs (N), the mass… Read More
(This article belongs to the Special Issue on SP8 (Special Issue on Digital and Engineering Transformations in Science and Technology (SI-DETST-26)) and the Section Condensed Matter Physics (CMP))
SNMPv2-to-SNMPv3 Migration in Financial Mainframes: Risk Reduction and Repeatable Playbook
by Rohit Kumar Shaw
Journal of Engineering Research and Sciences, Volume 5, Issue 6, Page # 1-14, 2026; DOI: 10.55708/js0506001
Abstract: Legacy SNMP versions 1 and 2c send community strings in cleartext with no authentication or encryption. In financial mainframe environments that operate IBM z/OS and are tied to Cisco IOS equipment, attackers actively exploit SNMPv2c as an attack vector. This paper quantifies the reduction in risk that can be achieved by deploying SNMPv3 in IBM… Read More
(This article belongs to the Section Information Systems – Computer Science (ISC))
A Study on the Hierarchical Expansion of the Triangle Concept in Mathematics Education
by Hyeseong Kang and Eunsung Jekal
Journal of Engineering Research and Sciences, Volume 5, Issue 5, Page # 12-18, 2026; DOI: 10.55708/js0505002
Abstract: This study aims to analyze the hierarchical development of the triangle concept across elementary and secondary mathematics curricula through the theoretical lens of Van Hiele’s geometric thinking levels. The triangle is introduced in elementary school as a visual and perceptual object, reinterpreted in middle school as a structure involving relationships among sides and angles, and… Read More
(This article belongs to the Section Education and Educational Research (EER))
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))
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 Analytical Examination of Predictive Denial Pattern Recognition in Healthcare Claims Utilizing Real-Time Power BI Analytics for Revenue Enhancement
by Nida Fatima and Amir Ghazanfer
Journal of Engineering Research and Sciences, Volume 5, Issue 3, Page # 27-32, 2026; DOI: 10.55708/js0503004
Abstract: This article looks at the growing problems in the healthcare revenue cycle, especially the big money losses that come from claim rejections. It emphasizes the need for predictive, real-time analytics to diminish avoidable rejections and improve overall operational efficiency. The novelty of this study lies in the operational integration of a machine-learning–based denial prediction model… Read More
(This article belongs to the Section Health Care Sciences and Services (HCS))
AI-Driven Data Lake Optimization: Integrating Quality Monitoring with Intelligent Physical Design Decisions
by Sowjanya Deva and Surya Narayana Reddy Chintacunta
Journal of Engineering Research and Sciences, Volume 5, Issue 3, Page # 1-13, 2026; DOI: 10.55708/js0503001
Abstract: Cloud data lakes require continuous optimization across multiple dimensions: physical design (partitioning, compression), query execution, and data quality assurance. This paper presents AIDALOS (AI-Driven Autonomous Data Lake Optimization System), a framework that integrates quality monitoring with physical optimization decisions. The system uses reinforcement learning to adapt monitoring intensity and trigger physical design changes based on… Read More
(This article belongs to the Section Artificial Intelligence – Computer Science (AIC))
Harnessing the Power of Machine Learning and Sensor Detection in a Simulation for the Design of Smart Date Harvesting Robot
by Hanan Hassan Ali Adlan, Reham Al Zamanan, Leen Almufleh, Tala Almuqrin and Jory Alhassoun
Journal of Engineering Research and Sciences, Volume 5, Issue 2, Page # 1-8, 2026; DOI: 10.55708/js0502001
Abstract: The Traditional date harvesting is labor-intensive and inefficient, leading to losses and quality issues. This paper introduces an AI-powered robotic system that automates date harvesting using computer vision, LiDAR sensors, and a robotic arm with a suction mechanism. The robot is capable of perception, it detects, classifies, and harvests ripe dates autonomously, ensuring minimal damage… Read More
(This article belongs to the Section Automation and Control Systems (ACS))
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))
A Cloud-Native Decision Intelligence Architecture for Sustainable CPG Supply Chain Networks
by Prahlad Chowdhury
Journal of Engineering Research and Sciences, Volume 5, Issue 1, Page # 35-45, 2026; DOI: 10.55708/js0501004
Abstract: Many retail and consumer packaged goods (CPG) companies use disconnected data pipelines, which can slow down decisions and increase costs. This paper introduces a cloud-native data architecture that brings together sell-in, sell-out, marketing, e-commerce, and financial data into one managed source of truth. This setup helps teams make timely and reliable decisions. Built on Snowflake,… Read More
(This article belongs to the Special Issue on SP8 (Special Issue on Digital and Engineering Transformations in Science and Technology (SI-DETST-26)) and the Section Information Systems – Computer Science (ISC))
Predicting University Success in Mongolia: The Roles of Admission Tests and Prior Academic Achievement
by Ankhbayar Jargalsaikhan and Amarzaya Amartuvshin
Journal of Engineering Research and Sciences, Volume 5, Issue 1, Page # 1-8, 2026; DOI: 10.55708/js0501001
Abstract: This research investigated the factors predicting academic success in Mongolian universities, focusing on university admission test scores and prior academic achievement (high school grade point average). Using data from 21,186 undergraduate students who graduated from major Mongolian universities between 2014 and 2024, the study examined how these factors relate to undergraduate grade point average. Results… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2025 and the Section Education and Educational Research (EER))
A Vendor-Agnostic Multi-Cloud Integration Framework Using Boomi and SAP BTP
by Padmanabhan Venkiteela
Journal of Engineering Research and Sciences, Volume 4, Issue 12, Page # 1-14, 2025; DOI: 10.55708/js0412001
Abstract: The shift toward multi-cloud strategies has made a vendor-agnostic integration framework indispensable for seamlessly orchestrating workflows across heterogeneous platforms. Modern enterprises increasingly rely on a mix of cloud ecosystems leveraging Amazon Web Services (AWS) for elasticity, Google Cloud Platform (GCP) for advanced AI/ML capabilities, Azure Cloud and Oracle Cloud Infrastructure (OCI) for critical enterprise workloads… Read More
(This article belongs to the Section Information Systems – Computer Science (ISC))
Implementing SAP Fiori in S/4HANA Transitions: Key Guidelines, Challenges, Strategic Implications, AI Integration Recommendations
by Trupti Raikar and Vinil Apelagunta
Journal of Engineering Research and Sciences, Volume 4, Issue 11, Page # 1-9, 2025; DOI: 10.55708/js0411001
Abstract: SAP GUI has become a legacy tool that does not receive new features in S/4HANA. The traditional SAP ECC interface has several drawbacks, such as its reliance on transaction codes, difficult navigation, and limited desktop use that is connected to on-premise systems. So, organizations looking to modernize need to switch to SAP Fiori. SAP Fiori… Read More
(This article belongs to the Section Information Systems – Computer Science (ISC))
Energy-Optimized Smart Transformers for Renewable-Rich Grids
by Sunday Omini Oboma and Edward Lambart
Journal of Engineering Research and Sciences, Volume 4, Issue 10, Page # 21-28, 2025; DOI: 10.55708/js0410003
Abstract: The accelerating and unrestrained use of energy globally raises serious concerns for the future of the planet, primarily due to the environmental devastation caused by fossil fuels. Achieving high energy efficiency in both fuel-driven and renewable energy systems is crucial for future energy optimization. Clean energy production is one of the most effective strategies to… Read More
(This article belongs to the Section Energy and Fuels (ENF))
Content Recommendation E-learning System for Personalized Learners to Enhance User Experience using SCORM
by Pasindu Udugahapattuwa and Shantha Fernando
Journal of Engineering Research and Sciences, Volume 4, Issue 9, Page # 30-46, 2025; DOI: 10.55708/js0409004
Abstract: E-learning is a main field used to improve learners’ learning environment. It would be more useful if the E-learning systems were improved by getting interactions and focusing on user experience. This research suggests increasing the user experience of students towards E-learning environments by recommending content according to their preferences. This research aims to make personalized… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2025 and the Section Information Systems – Computer Science (ISC))
Enterprise-Grade CI/CD Pipelines for Mixed Java Version Environments Using Jenkins in Non-Containerized Environments
by Sravan Reddy Kathi
Journal of Engineering Research and Sciences, Volume 4, Issue 9, Page # 12-21, 2025; DOI: 10.55708/js0409002
Abstract: Enterprises with large Java codebases are increasingly facing challenges in maintaining different versions of Java, mainly during upgrade of legacy Java 8 to modern long-term support (LTS) versions like Java 17. These concerns are majorly identified in environments where several Java versions co-exist, such as during incremental migration or version restrictions based on dependencies. This… Read More
(This article belongs to the Section Software Engineering – Computer Science (SEC))
Finite Element Analysis and Topology Optimization of Bamboo Bike Frame
by Ishfaq Hussain
Journal of Engineering Research and Sciences, Volume 4, Issue 9, Page # 1-11, 2025; DOI: 10.55708/js0409001
Abstract: In response to the global imperative for sustainable solutions, this study investigates the finite element analysis (FEA) and optimization of bamboo as a material for bicycle frames. As eco-friendly transportation gains importance, bicycles are recognized as a key component of sustainable mobility. This research utilizes FEA to thoroughly examine the structural performance of bamboo frames,… Read More
(This article belongs to the Section Mechanical Engineering (MEE))
Magnetic AI Explainability: Retrofit Agents for Post-Hoc Transparency in Deployed Machine-Learning Systems
by Maikel Leon
Journal of Engineering Research and Sciences, Volume 4, Issue 8, Page # 31-40, 2025; DOI: 10.55708/js0408004
Abstract: Artificial intelligence already influences credit allocation, medical diagnosis, and staff recruitment, yet most deployed models remain opaque to decision makers, regulators, and the citizens they affect. A new wave of transparency mandates across multiple jurisdictions will soon require organizations to justify automated decisions without disrupting tightly coupled production pipelines that have evolved over the years.… 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))
Cloud ERP vs. On-Premise QAD ERP: A Cost-Benefit Analysis for Mid-Sized Manufacturers
by Ravi Jaiswal
Journal of Engineering Research and Sciences, Volume 4, Issue 7, Page # 1-14, 2025; DOI: 10.55708/js0407001
Abstract: For mid-sized manufacturing firms, the Enterprise Resource Planning (ERP) system plays a crucial role in streamlining operations and enabling strategic growth. Both adopting cloud-based ERP solutions and continuing to use On-Premise applications like QAD are important decisions as digital transformation increases. In this study, we conduct a retrospective case study of the cost-benefit analysis of… Read More
(This article belongs to the Section Information Systems – Computer Science (ISC))
Fire Type Classification in the USA Using Supervised Machine Learning Techniques
by Ranyah Taha, Fuad Musleh and Abdel Rahman Musleh
Journal of Engineering Research and Sciences, Volume 4, Issue 6, Page # 1-8, 2025; DOI: 10.55708/js0406001
Abstract: Wildfires are a growing global concern, causing widespread environmental, economic, and health impacts. In the USA, fire incidents have become more frequent and intense due to factors such as climate change, prolonged droughts, and human activities. Machine learning plays a vital role in predicting and classifying fires by analyzing vast satellite and environmental datasets with… Read More
(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences 2024-25 and the Section Remote Sensing (RMS))
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 Special Issue on Computing, Engineering and Sciences 2024-25 and the Section Artificial Intelligence – Computer Science (AIC))
Enhancing Breast Cancer Detection through a Hybrid Approach of PCA and 1D CNN
by Samet Aymaz
Journal of Engineering Research and Sciences, Volume 4, Issue 4, Page # 20-30, 2025; DOI: 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… 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))
Software Development and Application for Sound Wave Analysis
by Eunsung Jekal, Juhyun Ku and Hyoeun Park
Journal of Engineering Research and Sciences, Volume 4, Issue 3, Page # 8-21, 2025; DOI: 10.55708/js0403002
Abstract: In this paper, we developed our own software that can analyze piano performance by using short-time Fourier transform, non-negative matrix decomposition, and root mean square. Additionally, we provided results that reflected the characteristics and signal analysis of various performers for the reliability of the developed software. The software was coded through Python, and it actively… Read More
(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences 2024-25 and the Section Acoustics (ACO))
Advanced Cloud-Based Solutions for Peripheral Artery Disease: Diagnosis, Analysis, and Visualization
by Mohammed A. AboArab, Vassiliki T. Potsika and Dimitrios I. Fotiadis
Journal of Engineering Research and Sciences, Volume 3, Issue 12, Page # 24-35, 2024; DOI: 10.55708/js0312003
Abstract: Peripheral artery disease (PAD) affects 237 million people globally, leading to significant morbidity and mortality. Traditional diagnostic methods are invasive, costly, and require specialized expertise, emphasizing the need for more accessible, and accurate alternatives. This paper introduces the DECODE cloud platform, an advanced tool that leverages cloud computing, machine learning, and high-performance data visualization to… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 and the Section Medical Informatics (MDI))
Smart Vehicle Safety System Using Arduino: An Experimental Study in Bahrain’s Driving Conditions
by Youmna Rabie Farag and Bintu Jasson
Journal of Engineering Research and Sciences, Volume 3, Issue 11, Page # 74-80, 2024; DOI: 10.55708/js0311006
Abstract: The high rate of vehicle accidents is increasingly linked to drivers failing to maintain adequate safety distances between their vehicles and those in front. This issue is exacerbated by varying weather conditions such as rain, sandstorms, and fog. To mitigate this problem, we propose an Arduino-based intelligent system designed to assist drivers in maintaining safe… Read More
(This article belongs to the Section Automation and Control Systems (ACS))