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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 July 2027

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Open AccessArticle
26 Pages, 5,260 KB Download PDF
Fleet-Based Reliability Framework for Low-Voltage Electrical Subsystems in Autonomous Vehicles

by Shrikant Pawar
Journal of Engineering Research and Sciences, Volume 5, Issue 9, Page # 35-60, 2026; DOI: 10.55708/js0509003
Abstract: The low-voltage (LV) electrical subsystem of an autonomous vehicle (AV), spanning the auxiliary battery and management system, DC-DC conversion, power distribution, compute ECUs, in-vehicle communication networks, and harnesses, must operate continuously; its failures are a leading cause of in-service downtime even when propulsion is healthy. Yet no method connects fleet-derived reliability evidence to the assurance… Read More

(This article belongs to the Section Robotics (ROB))

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
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
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 2024 and the Section Telecommunications (TEL))

Open AccessArticle
11 Pages, 2,017 KB Download PDF
A Swarm-Based Clinical Validation Framework of Artificial Intelligence Solutions for Non-Communicable Diseases

by Kitty Kioskli, Spyridon Papastergiou and Theofanis Fotis
Journal of Engineering Research and Sciences, Volume 2, Issue 9, Page # 1-11, 2023; DOI: 10.55708/js0209001
Abstract: Non-communicable diseases (NCDs) present complex challenges in patient care. Artificial Intelligence (AI) offers transformative potential, but its implementation requires addressing key issues. This study proposes a swarm intelligence-inspired clinical validation framework for NCDs, promoting openness, trustworthiness, and continuous self-validation. The framework creates a collaborative environment, connecting healthcare entities, patients, caregivers, and professionals. The swarm-based approach… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2023 and the Section Medical Informatics (MDI))

Open AccessArticle
11 Pages, 1,249 KB Download PDF
CAPEF: Context-Aware Policy Enforcement Framework for Android Applications

by Saad Inshi, Mahdi Elarbi, Rasel Chowdhury, Hakima Ould-Slimane and Chamseddine Talhi
Journal of Engineering Research and Sciences, Volume 2, Issue 1, Page # 13-23, 2023; DOI: 10.55708/js0201002
Abstract: The notion of Context-Awareness of mobile applications is drawing more attention, where many applications need to adapt to physical environments of users and devices, such as location, time, connectivity, resources, etc. While these adaptive features can facilitate better communication and help users to access their information anywhere at any time, this however bring risks caused… Read More

(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences 2023-23 and the Section Electrical Engineering (ELE))

Open AccessArticle
10 Pages Download PDF
Blockchain Based Framework for Securing Students’ Records

by Omega Sarjiyus and Israel Isaiah
Journal of Engineering Research and Sciences, Volume 1, Issue 6, Page # 45-54, 2022; DOI: 10.55708/js0106006
Abstract: Right now, colleges, as focuses of exploration and development, coordinate in their cycles different advances that permit further developing administrations and cycles for their individuals. Among the inventive innovations is the Web of Things that permits getting information from the climate and individuals through various gadgets. Security of information on college grounds is expected to… Read More

(This article belongs to the Section Cybernetics – Computer Science (CYC))

Open AccessArticle
12 Pages, 1,856 KB Download PDF
Hybrid Frameworks for the Multi-objective Optimization of Distributed Generation Units and Custom Power Devices with Simultaneous Distribution Network Reconfiguration

by Pamela Ramsami and Robert Tat Fung Ah King
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 186-197, 2022; DOI: 10.55708/js0105020
Abstract: The increased penetration of renewable energy sources in the distribution system affects the stability and efficiency of the system. To account for the intermittent nature of these sources, distribution network reconfiguration and the integration of custom power devices are important. This paper aims to identify the optimum location of photovoltaic systems and unified power quality… Read More

(This article belongs to the Section Electronic Engineering (EEE))

Open AccessArticle
12 Pages, 2,754 KB Download PDF
Analytical Framework to Minimize the Latency in Tele-herbal Healthcare Service

by Ogirima Sanni Abubakar Omuya and Arulogun Oladiran Tayo
Journal of Engineering Research and Sciences, Volume 1, Issue 1, Page # 39-50, 2022; DOI: 10.55708/js0101004
Abstract: Telemedicine is using telecommunications and IT and other ICT tools to widen healthcare services to remote rural areas. ICT global coverage, multicasting ability, and the high capacity of satellites in GEO can be served as an instrument to widen and enhance the high quality of healthcare service to remote rural areas. Long end-to-end latency could… Read More

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

Open AccessReview
20 Pages, 3,833 KB Download PDF
A Review of Machine Learning Techniques for Analog Integrated Circuit Design and Optimization

by Vasile Grosu
Journal of Engineering Research and Sciences, Volume 5, Issue 9, Page # 15-34, 2026; DOI: 10.55708/js0509002
Abstract: Analog electronic design automation has historically lagged behind its digital counterpart due to the complex, multi-dimensional design space and strict sensitivity to parasitic effects, process variations, and geometric constraints. A comprehensive review of the evolution, current state-of-the-art, and future trajectories of electronic design automation tools specifically tailored for analog integrated circuit design could serve as… Read More

(This article belongs to the Section Electronic Engineering (EEE))

Open AccessArticle
8 Pages, 467 KB Download PDF
Identifying and Addressing Supply Chain Data Gaps: Impacts on Predictive Quality and CTQ Parameter Management in EV Battery Production

by Sundararaman Ganapathiraman, Sumedha Vijayaram Kumar, Akshaya Bharadhwaj, Suresh N, Ramitha Sundar and Phani Kumar Pullela
Journal of Engineering Research and Sciences, Volume 5, Issue 8, Page # 28-35, 2026; DOI: 10.55708/js0508002
Abstract: The supply chains for electric vehicles (EVs) have data gaps that hinder traceability, predictive quality control, and management of Critical-to-Quality (CTQ) parameters such as energy capacity, electrode uniformity, thermal stability, state of charge/health, and recyclability. This systematic literature review collates research on raw-material sourcing, manufacturing, in-use monitoring, secondlife applications, and recycling. Following a documented PRISMA-style… Read More

(This article belongs to the Special Issue on Special Issue on Digital and Engineering Transformations in Science and Technology (SI-DETST-26) and the Section Manufacturing Engineering (MNE))

Open AccessArticle
27 Pages, 2,053 KB Download PDF
A Step Toward the Use of AI for Polyendocrine Metabolic Ovarian Syndrome (PMOS): Cost-Aware Risk Stratification with UncertaintyAware Triage and Conformal Prediction

by Adewale Alex Adegoke, Idris Babalola and Peter Adebayo Odesola
Journal of Engineering Research and Sciences, Volume 5, Issue 8, Page # 1-27, 2026; DOI: 10.55708/js0508001
Abstract: Polyendocrine metabolic ovarian syndrome (PMOS) previously known as Polycystic Ovary Syndrome (PCOS) is a common endocrine disorder affecting women of reproductive age, yet its diagnosis remains challenging because accurate assessment often depends on investigations that are costly, less accessible, and difficult to scale in resource-constrained clinical settings. We develop and assess a cost-aware modelling framework… Read More

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

Open AccessArticle
30 Pages, 1,800 KB Download PDF
Graph Neural Networks for Fault Diagnostics in Cyber-Physical Systems: A Survey of Taxonomy, Deployment Architectures and Failure Modes

by Vaibhavi Tiwari, Ola Suaifan, Ramy Othman and Anand Gupta
Journal of Engineering Research and Sciences, Volume 5, Issue 6, Page # 67-96, 2026; DOI: 10.55708/js0506006
Abstract: Graph Neural Networks (GNNs) have emerged as a promising approach for fault diagnosis in complex cyber-physical systems because they can model intercomponent relationships, fault propagation, and system-level anomalies across domains such as industrial automation, smart grids, transportation, and healthcare. This survey presents a multidimensional review of GNN-based fault diagnostics, organizing existing methods according to graph… Read More

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

Open AccessReview
11 Pages, 4,491 KB Download PDF
From ITIL to AIOps in Public Sector: A Systematic Literature Review

by Catherine Ganduri
Journal of Engineering Research and Sciences, Volume 5, Issue 6, Page # 56-66, 2026; DOI: 10.55708/js0506005
Abstract: Public-sector agencies rely on complex and highly regulated digital systems to deliver essential services. ITIL-based change and release management supports operational control, but many agencies still depend on manual approvals, fragmented operational data, and reactive monitoring. Artificial Intelligence for IT Operations (AIOps) and Machine Learning Operations (MLOps) can improve anomaly detection, failure prediction, release validation,… Read More

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

Open AccessArticle
17 Pages, 3,342 KB Download PDF
Bengali Emotion Classification from Social Media Text Using Deep Learning and Transformer‑Based Models with Explainability

by Mujtahid Alam, Shuhena Salam Aonty, Sha Newaz Mahmud, Nahid Riaz Swachha and Ahmed Talal Wazih
Journal of Engineering Research and Sciences, Volume 5, Issue 6, Page # 39-55, 2026; DOI: 10.55708/js0506004
Abstract: Bengali emotion classification remains challenging due to limited annotated resources, informal social media language, and the lack of comprehensive evaluations of modern transformer architectures. This study presents a unified framework for six‑class Bengali emotion classification using a corpus of 5,401 manually annotated social media comments. We systematically compare recurrent neural networks, transformer‑based models, and hybrid… Read More

(This article belongs to the Special Issue on Special Issue on Digital and Engineering Transformations in Science and Technology (SI-DETST-26) and the Section Artificial Intelligence – Computer Science (AIC))

Open AccessArticle
12 Pages, 2,060 KB Download PDF
Superconductivity 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 Special Issue on Digital and Engineering Transformations in Science and Technology (SI-DETST-26) and the Section Condensed Matter Physics (CMP))

Open AccessArticle
12 Pages, 3,274 KB Download PDF
Beyond Written Surveys: Validating Voice-Based Implementations of the User Experience Questionnaire

by Ignacio Diaz-Oreiro and Gustavo Lopez
Journal of Engineering Research and Sciences, Volume 5, Issue 6, Page # 15-26, 2026; DOI: 10.55708/js0506002
Abstract: User Experience (UX) evaluation is fundamental for digital product improvement, yet traditional written questionnaires face limitations in engagement, accessibility, and response consistency. To address this, we present the design, development, and validation of voice-based adaptations of the User Experience Questionnaire, or UEQ, using natural conversational interfaces. This research introduces two distinct implementations: direct scale mapping… Read More

(This article belongs to the Special Issue on Special Issue on Digital and Engineering Transformations in Science and Technology (SI-DETST-26) and the Section Information Systems – Computer Science (ISC))

Open AccessArticle
21 Pages, 1,734 KB Download PDF
Early Warning for Maritime Storm Formation Using Temporal Autoencoder-Based Anomaly Detection

by Snehashish Srivastava, Haiping Xu, Donghui Yan and Ramprasad Balasubramanian
Journal of Engineering Research and Sciences, Volume 5, Issue 5, Page # 19-39, 2026; DOI: 10.55708/js0505003
Abstract: Storms remain a serious hazard at sea, exposing vessels to rapidly changing conditions that endanger human life and result in substantial economic losses. Satellite-based detection methods are widely used but require significant computational resources and depend on land-to-sea communication links, which may become unreliable during severe weather. Machine learning approaches offer strong potential for early… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences & Advanced Technology (SI-MSAT 2026) and the Section Artificial Intelligence – Computer Science (AIC))

Open AccessArticle
16 Pages, 1,702 KB Download PDF
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))

Open AccessReview
6 Pages, 1,339 KB Download PDF
Dynamic Error Management in SAP: A Comprehensive Analysis

by Vinayak Kalabhavi
Journal of Engineering Research and Sciences, Volume 5, Issue 3, Page # 21-26, 2026; DOI: 10.55708/js0503003
Abstract: Enterprise Resource Planning (ERP) systems, particularly SAP, face increasing demands for real-time operations and minimal downtime, necessitating sophisticated error management approaches. This paper examines the evolution from reactive to dynamic error management in SAP environments, analyzing theoretical frameworks and practical implementations. Through comprehensive literature review spanning 2000-2025, we explore hybrid error detection frameworks combining rule-based… Read More

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

Open AccessArticle
13 Pages, 2,536 KB Download PDF
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))

Open AccessArticle
15 Pages, 1,678 KB Download PDF
How to Fix Automation Flakiness: Root Causes and Enterprise-Level Solutions

by Sujeet Kumar Tiwari
Journal of Engineering Research and Sciences, Volume 5, Issue 2, Page # 9-23, 2026; DOI: 10.55708/js0502002
Abstract: Flakiness in automation is one of the most intractable barriers to dependable enterprise CI/CD, in which organizations can run more than 50M tests daily, and a 5-10% flaky rate may spoil thousands of builds. The paper brings together empirical research and industrial case studies on UI, API, mobile, and data pipelines to describe the prevalent… Read More

(This article belongs to the Section Hardware and Architecture – Computer Science (HAC))

Open AccessArticle
9 Pages, 3,728 KB Download PDF
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))

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 2025 and the Section Information Systems – Computer Science (ISC))

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