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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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Open AccessArticle
20 Pages, 4,630 KB Download PDF
CFD Analysis of Data Center Hall Cooling Performance under Normal and Failure Modes with Control Strategies and Airflow Leakages

by Sushil Ashok Surwase, Suribabu Badde and R. Balakrishnan
Journal of Engineering Research and Sciences, Volume 5, Issue 1, Page # 9-28, 2026; DOI: 10.55708/js0501002
Abstract: Data centers have become the backbone of an increasingly digitized world, supporting the rapid growth of cloud computing, big data, IoT, 5G, and other emerging IT technologies, with rising demand and innovations in AI and ML reinforcing their significance. Data centers are energy intensive, with data processing and storage accounting for 3 to 4% of… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2025) and the Section Mechanical Engineering (MEE))

Open AccessArticle
30 Pages, 6,424 KB Download PDF
Model Uncertainty Quantification: A Post Hoc Calibration Approach for Heart Disease Prediction

by Peter Adebayo Odesola, Adewale Alex Adegoke and Idris Babalola
Journal of Engineering Research and Sciences, Volume 4, Issue 12, Page # 25-54, 2025; DOI: 10.55708/js0412003
Abstract: We investigated whether post-hoc calibration improves the trustworthiness of heart-disease risk predictions beyond discrimination metrics. Using a Kaggle heart-disease dataset (n = 1,025), we created a stratified 70/30 train-test split and evaluated six classifiers, Logistic Regression, Support Vector Machine, k-Nearest Neighbors, Naive Bayes, Random Forest, and XGBoost. Discrimination was quantified by stratified 5-fold cross-validation with… Read More

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

Open AccessArticle
14 Pages, 8,167 KB Download PDF
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))

Open AccessArticle
8 Pages, 1,505 KB Download PDF
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))

Open AccessArticle
12 Pages, 2,064 KB Download PDF
Unveiling the Evolving Threat Landscape of Distributed Denial-of-Service (DDoS) Attacks Methodology and Security Measures

by Eman Eyadat, Mohammad Eyadat and Abedalrahman Alfaqih
Journal of Engineering Research and Sciences, Volume 4, Issue 10, Page # 9-20, 2025; DOI: 10.55708/js0410002
Abstract: This paper proposes a concrete severity classification framework and an evaluation lens for DDoS defenses (not a descriptive survey) and contributes two specific advancements. First, it introduces a quartile-based severity classification framework for Distributed Denial of Service (DDoS) attacks that extends beyond conventional binary detection. The framework classifies observed traffic into four categories (Q1–Q4) using… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2025) and the Section Information Systems – Computer Science (ISC))

Open AccessArticle
8 Pages, 1,416 KB Download PDF
Blending Bio Inspired Algorithm and Cross Layering for Optimal Route in MANETS; 6G Scenario

by Sadanand Ramchandrarao Inamdar and Jayashree Irappa Kallibaddi
Journal of Engineering Research and Sciences, Volume 4, Issue 9, Page # 22-29, 2025; DOI: 10.55708/js0409003
Abstract: In order to find the best path in 6G scenario, this paper suggests a directional routing approach for Mobile Ad hoc NETworks (MANETs) that investigates clubbing of updated Tunicate Swarm Algorithm (TSA), an updated intensification technique inspired by biology and Cross Layer Interaction (CLI). To address its previous shortcoming of trapping into local optima, updated… Read More

(This article belongs to the Section Interdisciplinary Applications – Computer Science (IAC))

Open AccessArticle
11 Pages, 4,608 KB Download PDF
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))

Open AccessArticle
6 Pages, 1,489 KB Download PDF
AI-Enhanced Endpoint Compliance and Automated Vulnerability Management Framework for Essential Government Infrastructure

by Harshavardhan Malla
Journal of Engineering Research and Sciences, Volume 4, Issue 8, Page # 18-23, 2025; DOI: 10.55708/js0408002
Abstract: Public sector IT infrastructures that underpin essential services, such as transportation and law enforcement, are becoming progressively susceptible to advanced cyber attacks and encounter heightened regulatory demands, especially in accordance with CJIS and NIST standards. Regrettably, existing methods for compliance enforcement and patch management are primarily manual or only slightly automated, thereby constraining their scalability,… Read More

(This article belongs to the Section Information Systems – Computer Science (ISC))

Open AccessArticle
11 Pages, 1,676 KB Download PDF
Comparative Analysis of Supervised Machine Learning Models for PCOS Prediction Using Clinical Data

by Ranyah Taha, Huda Zain El Abdin and Tala Musleh
Journal of Engineering Research and Sciences, Volume 4, Issue 6, Page # 16-26, 2025; DOI: 10.55708/js0406003
Abstract: Polycystic Ovary Syndrome (PCOS) is a prevalent hormonal disorder affecting women of reproductive age, commonly resulting in irregular menstrual cycles, elevated androgen levels, and the presence of polycystic ovaries. It is a major cause of infertility and is often linked with metabolic complications such as insulin resistance and obesity. Symptoms vary and may include acne,… Read More

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

Open AccessArticle
8 Pages, 1,327 KB Download PDF
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 (SI-CES 2024-25) and the Section Remote Sensing (RMS))

Open AccessArticle
14 Pages, 47,405 KB Download PDF
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))

Open AccessArticle
7 Pages, 1,363 KB Download PDF
Prevention Methods for Senior Falls

by Eunbi Lee, Ashton Minjae Kim and Eunsung Jekal
Journal of Engineering Research and Sciences, Volume 4, Issue 3, Page # 1-7, 2025; DOI: 10.55708/js0403001
Abstract: This paper deals with the primary factors and countermeasures to prevent falls in seniors in an aging society. Falls among seniors are emerging as a serious social and economic problem, leading to psychological trauma, physical injuries, long-term disabilities, fatalities, and increased medical costs. Therefore, fall prevention is essential for improving an individual’s quality of life… Read More

(This article belongs to the Section Social Sciences (SCS))

Open AccessArticle
12 Pages, 4,114 KB Download PDF
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 (SI-MSAT 2024) and the Section Medical Informatics (MDI))

Open AccessArticle
13 Pages, 1,776 KB Download PDF
Exploring Challenges in Software Testing: A Structuration Theory Perspective

by Tefo Gordon Sekgweleo and Phathutshedzo Makovhololo
Journal of Engineering Research and Sciences, Volume 3, Issue 12, Page # 1-13, 2024; DOI: 10.55708/js0312001
Abstract: Developing software is a huge job, which is why digital product teams rely on the software development life cycle (SDLC). SDLC is a critical framework for digital product teams, and software testing is its most vital component. Testing evaluates software components to identify properties of interest, detect defects, and ensure alignment with requirements. If not… Read More

(This article belongs to the Section Software Engineering – Computer Science (SEC))

Open AccessReview
12 Pages, 4,617 KB Download PDF
A Bibliometric Analysis Review on Energy Optimization while Designing Wireless Sensor Networks

by Makwena Idah Masopoga, Mbuyu Sumbwanyambe, Zenghui Wang and Nthambeleni Reginald Netshikweta
Journal of Engineering Research and Sciences, Volume 3, Issue 11, Page # 81-92, 2024; DOI: 10.55708/js0311007
Abstract: Energy optimisation algorithms play an essential role in reducing energy usage. Hence, it is mandatory to identify current themes and predict future research study in energy optimisation algorithms (EOAs) in wireless sensor networks (WSNs). Several reviews have been conducted on energy optimisation algorithms (EOAs) in WSNs, although many focused on narrative reviews. This study focuses… Read More

(This article belongs to the Section Electrical Engineering (ELE))

Open AccessArticle
7 Pages, 1,753 KB Download PDF
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))

Open AccessArticle
7 Pages, 1,803 KB Download PDF
Enhancing Mental Health Support in Engineering Education with Machine Learning and Eye-Tracking

by Yuexin Liu, Amir Tofighi Zavareh and Ben Zoghi
Journal of Engineering Research and Sciences, Volume 3, Issue 10, Page # 69-75, 2024; DOI: 10.55708/js0310007
Abstract: Mental health concerns are increasingly prevalent among university students, particularly in engineering programs where academic demands are high. This study builds upon previous work aimed at improving mental health support for engineering students through the use of machine learning (ML) and eye-tracking technology. A framework was developed to monitor mental health by analyzing eye movements… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2024) and the Section Artificial Intelligence – Computer Science (AIC))

Open AccessArticle
11 Pages, 2,057 KB Download PDF
Evaluation of Equivalent Aacceleration Factors of Repairable Systems in a Fleet: a Process-Average-Based Approach

by Renyan Jiang, Kunpeng Zhang, Xia Xu and Yu Cao
Journal of Engineering Research and Sciences, Volume 3, Issue 10, Page # 44-54, 2024; DOI: 10.55708/js0310005
Abstract: Research on repairable systems in a fleet is mainly concerned with modelling of the failure times using point processes. One important issue is to quantitatively evaluate the heterogeneity among systems, which is usually analyzed using frailty models. Recently, a fleet heterogeneity evaluation method is proposed in the literature. This method describes the heterogeneity with the… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2024) and the Section Operations Research and Management Science (ORM))

Open AccessArticle
7 Pages, 318 KB Download PDF
On a Kernel k-Means Algorithm

by Bernd-Jürgen Falkowski*
Journal of Engineering Research and Sciences, Volume 3, Issue 10, Page # 37-43, 2024; DOI: 10.55708/js0310004
Abstract: This is the extended version of a paper presented at CISP-BMEI 2023. After a general introduction kernels are described by showing how they arise from considerations concerning elementary geometrical properties. They appear as generalizations of the scalarproduct that in turn is the algebraic version of length and angle. By introducing the Reproducing Kernel Hilbert Space… Read More

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

Open AccessArticle
16 Pages, 440 KB Download PDF
Navigating the Autonomous Era: A Detailed Survey of Driverless Cars

by Vaibhavi Tiwari
Journal of Engineering Research and Sciences, Volume 3, Issue 10, Page # 21-36, 2024; DOI: 10.55708/js0310003
Abstract: The incorporation of cutting-edge technologies like sensor networks, artificial intelligence (AI), and vehicle-to everything (V2X) communication has hastened the rollout of autonomous vehicles (AVs), offering significant possibilities for the future of transportation. This document offers an extensive overview of AV technology, covering essential elements such as technological infrastructure, degrees of automation, cybersecurity threats, societal impacts,… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2024) and the Section Transportation Science & Technology (TST))

Open AccessArticle
8 Pages, 2,186 KB Download PDF
Conceptual Business Model Framework for AI-based Private 5G-IoT Networks

by Laurence Banda
Journal of Engineering Research and Sciences, Volume 3, Issue 10, Page # 13-20, 2024; DOI: 10.55708/js0310002
Abstract: The fusion of fifth generation (5G) networks, Internet of Things (IoT) and artificial intelligence (AI), referred to as intelligent connectivity by most industry experts, can be seen as a crucial success factor for sustainable digitalization. Until recently, research into these key triad technologies has been conducted in isolation. One of the promising applications of intelligent… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2024) and the Section Telecommunications (TEL))

Open AccessArticle
12 Pages, 1,782 KB Download PDF
An Integrated Approach to Manage Imbalanced Datasets using PCA with Neural Networks

by Swarup Kumar Mondal and Anindya Sen
Journal of Engineering Research and Sciences, Volume 3, Issue 10, Page # 1-12, 2024; DOI: 10.55708/js0310001
Abstract: Imbalanced dataset handling in real time is one of the most challenging tasks in predictive modelling. This work handles the critical issues arising in imbalanced dataset with implementation of artificial neural network and deep neural network architecture. The usual machine learning algorithms fails to achieve desired throughput with certain input circumstances due to mismatched class… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2024) and the Section Artificial Intelligence – Computer Science (AIC))

Open AccessArticle
14 Pages, 6,774 KB Download PDF
HivePool: An Exploratory Visualization System for Honey Beehive Data

by Tinghao Feng, Sophie Columbia, Christopher Campell and Rahman Tashakkori
Journal of Engineering Research and Sciences, Volume 3, Issue 9, Page # 61-74, 2024; DOI: 10.55708/js0309004
Abstract: Honey bee health is crucial for global ecosystems, but traditional data analysis methods often struggle to capture the complex interplay between bee behavior and environmental factors. To bridge this gap, we developed HivePool, a novel data visualization and analysis tool designed to empower beekeepers and researchers with deeper insights into these interactions. This paper explores… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2024) and the Section Horticulture (HOR))

Open AccessReview
35 Pages, 3,100 KB Download PDF
Fingerprint Bio-metric: Confronting Challenges, Embracing Evolution, and Extending Utility – A Review

by Diptadip Maiti, Madhuchhanda Basak and Debashis Das
Journal of Engineering Research and Sciences, Volume 3, Issue 9, Page # 26-60, 2024; DOI: 10.55708/js0309003
Abstract: As documented in recent research, this review offers a thorough examination of the intricate subject of fingerprint authentication, including a wide range of issues and applications. Addressing problems like non-linear deformations and enhancing picture quality, which are frequently reduced by sophisticated improvement and alignment techniques are important components of fingerprint image authentication. Countering security concerns… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2024) and the Section Cybernetics – Computer Science (CYC))

Open AccessArticle
10 Pages, 1,729 KB Download PDF
The Dual Impact of AI in Clinical Trials: Perspective

by Muhammad Yaqub and Lan He
Journal of Engineering Research and Sciences, Volume 3, Issue 9, Page # 16-25, 2024; DOI: 10.55708/js0309002
Abstract: The use of artificial intelligence in clinical trials opens the way for a period of transformation in which the potential to enhance efficiency, precision, and scope in clinical investigation is enormous. In this perspective, the promise and perils of AI regarding clinical trials are critically reviewed. On one hand, it's where AI can really make… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2024) and the Section Medical Informatics (MDI))

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