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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
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 SP8 (Special Issue on Digital and Engineering Transformations in Science and Technology (SI-DETST-26)) and the Section Artificial Intelligence – Computer Science (AIC))

Open AccessArticle
14 Pages, 912 KB Download PDF
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))

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 AccessArticle
10 Pages, 5,213 KB Download PDF
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))

Open AccessArticle
10 Pages, 6,196 KB Download PDF
Advanced Digital Twin of a Industrial Robotic System for Measuring Pipe Wall Thickness in Nuclear Power Plants

by Rogério Adas Pereira Vitalli and João Manoel Losada Moreira
Journal of Engineering Research and Sciences, Volume 3, Issue 12, Page # 14-23, 2024; DOI: 10.55708/js0312002
Abstract: This paper presents the development of the digital twin of an advanced industrial robotic system for pipe wall thickness inspection in the turbine building of nuclear power plants. The robotic inspection system consists of 3 units, the first being the mobile unit, the second a robotic unit for automatic pipe wall thickness measurement using the… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 and the Section Robotics (ROB))

Open AccessArticle
10 Pages, 2,165 KB Download PDF
Comprehensive E-learning of Mathematics using the Halomda Platform enhanced with AI tools

by Philip Slobodsky and Mariana Durcheva
Journal of Engineering Research and Sciences, Volume 3, Issue 4, Page # 10-19, 2024; DOI: 10.55708/js0304002
Abstract: The method of assessment affects on learning by determining how students manage their time and prioritize subjects. It is widely accepted that students may demonstrate different skills in different assessment formats. The authors demonstrated how e-assessment through the Halomda educational platform can not only improve student learning outcomes, but also enrich their learning experiences. In… Read More

(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences 2023-24 and the Section Education and Educational Research (EER))

Open AccessArticle
8 Pages, 2,445 KB Download PDF
Isolation and Characterization of the Bioplastic Producing Bacteria Using Low-Cost Substrate, Sawdust

by Anam Javaid, Sumaira Aslam, Hira Qaisar, Farhat Batool, Rimsha Javed and Muhammad Waqas Qaisar
Journal of Engineering Research and Sciences, Volume 2, Issue 12, Page # 7-14, 2023; DOI: 10.55708/js0212002
Abstract: Plastics are routinely used in the packaging of materials as well as in industrial production. However, once in the environment, they are non-biodegradable, posing severe threats to the ecosystems. Bioplastic replaces conventional plastic, which is biodegradable due to its biological origin and does not affect environment. Sawdust is a very important agro-waste screened as a… Read More

(This article belongs to the Section Biotechnology and Applied Microbiology (BAM))

Open AccessArticle
13 Pages, 1,026 KB Download PDF
Graph-based Tool for Bandwidth Estimation, Health Monitoring and Update Planning in Broadband Networks

by Gian Paolo Jesi and Andrea Odorizzi
Journal of Engineering Research and Sciences, Volume 2, Issue 4, Page # 1-13, 2023; DOI: 10.55708/js0204001
Abstract: This paper focuses on the genesis and evolution of our specific Company tool. It is aimed to tackle the problem of verifying the health status and availability of residual bandwidth between any node over the Lepida ScpA broadband network. In fact, there must be a correspondence between active contractual obligations signed by local network operators… Read More

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

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
6 Pages, 375 KB Download PDF
Evolutionary Learning of Fuzzy Rules and Application to Forecasting Environmental Impact on Plant Growth

by Chris Nikolopoulos and Ryan Koralik
Journal of Engineering Research and Sciences, Volume 1, Issue 4, Page # 48-53, 2022; DOI: 10.55708/js0104006
Abstract: Prediction of plant growth and yield is one of the essential tasks that enables growers of food and agricultural products to effectively manage their crops. In this paper, a hybrid evolutionary/fuzzy machine learning approach is introduced where a genetic algorithm is deployed to learn the optimum membership functions of relevant fuzzy sets and a knowledge… Read More

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

Open AccessArticle
10 Pages, 565 KB Download PDF
Study on Stability Analysis of Rectangular Plates Section Using a Three-Dimensional Plate Theory with Polynomial Function

by Festus Chukwudi Onyeka, Chidobere David Nwa-David and Thompson Edozie Okeke
Journal of Engineering Research and Sciences, Volume 1, Issue 4, Page # 28-37, 2022; DOI: 10.55708/js0104004
Abstract: In this paper, a polynomial displacement function is developed to evaluate the stability of rectangular thick plate that is freely supported at the third edge and other three edges simply supported (SSFS). Employing three-dimensional (3-D) constitutive relations which consist of entire stress components, the functional for total potential energy was obtained. The governing equations plate… Read More

(This article belongs to the Section Civil Engineering (CVE))

Open AccessArticle
6 Pages, 617 KB Download PDF
Effective Approach Experience for Practical Training using Web-Based Platforms and Tools in the Context of the COVID-19 Pandemic

by Radoslav Hrischev
Journal of Engineering Research and Sciences, Volume 1, Issue 4, Page # 22-27, 2022; DOI: 10.55708/js0104003
Abstract: This article is a result of the need to quickly and efficiently organize distance learning for students during the pandemic caused by COVID-19. Some e-learning opportunities provided by internet technologies, web-based platforms, online engineering tools are presented. Examples of training students in business information systems based on learning platforms and demo systems are presented, as… Read More

(This article belongs to the Section Education and Educational Research (EER))

Open AccessArticle
10 Pages, 2,123 KB Download PDF
Buckling Analysis of a Three-Dimensional Rectangular Plates Material Based on Exact Trigonometric Plate Theory

by Onyeka Festus Chukwudi, Okeke Thompson Edozie and Nwa-David Chidobere
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 106-115, 2022; DOI: 10.55708/js0103011
Abstract: In this study, exact trigonometric displacement function was used to solve the buckling problem of a three-dimensional (3-D) rectangular plate that is clamped at the first-three edges and the other remaining edge simply supported (CCCS) under uniaxial compressive load. Employing 3-D constitutive relations which consist of entire components, the functional for total potential energy was… Read More

(This article belongs to the Section Civil Engineering (CVE))

Open AccessArticle
17 Pages, 5,222 KB Download PDF
Bearing Fault Diagnosis Based on Ensemble Depth Explainable Encoder Classification Model with Arithmetic Optimized Tuning

by Kaibi Zhang, Yanyan Wang and Hongchun Qu
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 81-97, 2022; DOI: 10.55708/js0103009
Abstract: In a dynamic and complex bearing operating environment, current auto-encoder-based deep models for fault diagnosis are having difficulties in adaptation, which usually leads to a decline in accuracy. Besides, the opaqueness of the decision process by such deep models might reduce the reliability of the diagnostic results, which is not conducive to the subsequent optimization… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2022 and the Section Artificial Intelligence – Computer Science (AIC))

Open AccessArticle
7 Pages, 1,226 KB Download PDF
Physical Interpretation of the Solution to the Problem of Diffraction on a Half-plane with Non-Ideal Boundary Conditions

by Michael Vesnik
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 52-58, 2022; DOI: 10.55708/js0103006
Abstract: The recently proposed method of fundamental components is employed to develop a technique for obtaining a heuristic solution to the problem of diffraction on a half-plane with non-ideal boundary conditions. The difference between the new method and traditional heuristic approaches, such as the geometric theory of diffraction and the method of edge waves, is the… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2022 and the Section Applied Mathematics (APM))

Open AccessReview
11 Pages, 4,508 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
11 Pages, 2,554 KB Download PDF
Identification of Walking Balance using Acceleration Sensors

by Junyu Chen, Michiyuki Hirokane and Yukio Horiguchi
Journal of Engineering Research and Sciences, Volume 5, Issue 5, Page # 1-11, 2026; DOI: 10.55708/js0505001
Abstract: The risk of falling increases with age, affecting approximately one in three individuals over 65 and one in two over 80 annually. In Japan, the fall rate among older adults ranges from 8.5% to 25.3%, and falls are a major cause of fractures and long-term care needs. Balance impairment is one of the key factors… 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 Medical Informatics (MDI))

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
8 Pages, 3,387 KB Download PDF
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))

Open AccessArticle
11 Pages, 2,695 KB Download PDF
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))

Open AccessArticle
6 Pages, 3,520 KB Download PDF
Cross-Sectional Structure of Nested Antiresonant Nodeless Fiber for Single-Mode and Few-Mode Transmission

by Shogo Ota and Hirokazu Kubota
Journal of Engineering Research and Sciences, Volume 5, Issue 1, Page # 29-34, 2026; DOI: 10.55708/js0501003
Abstract: Nested Antiresonant Nodeless Fiber (NANF) is a promising candidate for next-generation optical communication systems due to its low-loss, low-latency and low-nonlinearity characteristics. This study focuses on the high degree of design flexibility inherent in NANF, demonstrating through numerical analysis that a single platform can be tailored for two distinct applications required in future networks: single-mode… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2025 and the Section Optics (OPT))

Open AccessArticle
8 Pages, 918 KB Download PDF
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))

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))

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