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))

by Nikolaos Vasileios Oikonomou, Dimitrios Vasileios Oikonomou, Sofia Panagiota Chaliasou and Nikolaos Rigas
Journal of Engineering Research and Sciences, Volume 5, Issue 1, Page # 66-75, 2026; DOI: 10.55708/js0501006
Abstract: This study presents a comprehensive comparative analysis of binary face classification utilizing Deep Learning and traditional Machine Learning approaches. We evaluate three distinct modeling strategies: (1) End-to-end Convolutional Neural Networks (CNNs), including a baseline TensorFlow model and an optimized PyTorch architecture; (2) Hybrid CNN-MLP networks; and (3) Feature extraction via a pre-trained ResNet50 coupled with… 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))

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))

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))

by Laurence Banda
Journal of Engineering Research and Sciences, Volume 4, Issue 2, Page # 1-10, 2025; DOI: 10.55708/js0402001
Abstract: The fierce race among mobile network operators (MNOs) to roll out fifth-generation (5G) networks has intensified. One of the potential markets where 5G deployment has increased tremendously is Sub-Saharan Africa. This is primarily due to rapid economic growth and the new opportunities that 5G networks and the associated technologies are expected to offer through sustainable… Read More

(This article belongs to the Section Operations Research and Management Science (ORM))

by Long H. Ngo and Jonathan Rivalan
Journal of Engineering Research and Sciences, Volume 4, Issue 1, Page # 1-7, 2025; DOI: 10.55708/js0401001
Abstract: Automated code comprehension has recently become integral to software development. Neural networks, widely employed in natural language processing tasks, can capture the semantic meanings of language by representing it in vector form. Although programming code differs from natural language, we hypothesize that neural models can learn both the syntactic and semantic attributes inherent in code.… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 and the Section Software Engineering – Computer Science (SEC))

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))

by Sambalaye Diop, Papa Silly Traore, Mamadou Lamine Ndiaye and Issa Zerbo
Journal of Engineering Research and Sciences, Volume 3, Issue 6, Page # 1-9, 2024; DOI: 10.55708/js0306001
Abstract: The Taïba Ndiaye wind farm, connected to the SENELEC grid, plays a key role in offsetting shortfalls in electricity consumption, with an installed capacity of 158.7 MW. Moreover, as an intermittent power station, its production is highly dependent on the environmental conditions in the region. Bad weather can disrupt the electricity network, requiring forecasting methods… Read More

(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences 2023-24 and the Section Electrical Engineering (ELE))

by Ilkhom Mukhtorov, Takhir Abduraxmonov and Abdusobir Saidov
Journal of Engineering Research and Sciences, Volume 3, Issue 5, Page # 1-13, 2024; DOI: 10.55708/js0305001
Abstract: The article considers the issue of modeling the multi-step process of customs clearance of goods in foreign trade. A mathematical model of control of the process under consideration has been developed. A brief review of existing methods for solving the linear programming problem with variable coefficients of the target function is given. The essence of… Read More

(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences 2023-24 and the Section Information Systems – Computer Science (ISC))

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))

by Javier Urquizo, Diover Bonilla, Francisco Rivera and Rommel Chang
Journal of Engineering Research and Sciences, Volume 2, Issue 1, Page # 1-12, 2023; DOI: 10.55708/js0201001
Abstract: This research is about tuning the automatic generator control (AGC) unit within the National Transmission System (NTG) and is intended to provide a set of key insights into problems related to generator control systems oscillations and the possible available solutions. The case study is the Baba Hydroelectric Power Plant in Ecuador. The aim is to… 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))

by Hamza Fahmy, Mohamed Mazouzi, Ayoub Alami Masmoudi and Tamasna El Mehdi
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 223-230, 2022; DOI: 10.55708/js0105023
Abstract: Because firms are considering the influence of their operations on the environment, the green supply chain has become a crucial indication of corporate performance. The issues here necessitate both competent management and a fresh, innovative strategy for cost reduction, productivity enhancement, and natural resource protection. We shall try to understand the Barriers of Green Supply… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2022 and the Section Green and Sustainable Science & Technology (GSS))

by Philip Marothi Lemekwane and Nkqubela Ruxwana
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 213-222, 2022; DOI: 10.55708/js0105022
Abstract: To determine what needs to be done, organisations throughout the world need the capability to find out quickly, what is happening and why it happened. Therefore, having the intelligence to make informed decisions at the right time and place is the key to success in today's dynamic environment. As mobile systems become increasingly available, more… Read More

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

by Amougou Ngoumou and Marcel Fouda Ndjodo
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 179-185, 2022; DOI: 10.55708/js0105019
Abstract: Evolution in Software Product Line (SPL) is claimed when there are changes in the requirements, product structure or the technology being used. Currently, many different approaches have been proposed on how to manage SPL assets and some also address how evolution affects these assets. However, the usefulness, effectiveness and applicability of these approaches are unclear,… Read More

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

by Sohail Shaikh, Deepak Hujare and Shrikant Yadav
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 134-144, 2022; DOI: 10.55708/js0105014
Abstract: With the dominance of a technical and volatile environment with enormous consumer demands, this study aims to investigate the advancements in quality assurance in the era of Industry 4.0. For better production efficiency, rapid and robust automated quality visual inspection is developing rapidly in product quality control. Deep neural network architecture is built for a… Read More

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

by Avinash Galande, Swanand Pachpore and Ashish Pawar
Journal of Engineering Research and Sciences, Volume 1, Issue 4, Page # 68-73, 2022; DOI: 10.55708/js0104009
Abstract: A deep groove ball bearing is a rotary element designed for supporting a radial as well as axial load, low friction, and widely used due to little noise and vibration which supports high rotational speeds. In this article, the author carried out a structural analysis (using FE Simulation) of a single row deep groove ball… Read More

(This article belongs to the Section Mechanical Engineering (MEE))

by Vaishnavi Kohale, Samidha Jawade and Ganesh Kakandikar
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 116-125, 2022; DOI: 10.55708/js0103012
Abstract: Additive manufacturing creates 3-dimensional objects by depositing materials layer by layer. Different applications of additive manufacturing were examined to determine future growth possibilities. The current research seeks to discover existing additive manufacturing techniques based on the process mechanisms, evaluate modelling approaches based on modelling methodologies, and identify required studies. A significant number of numerical simulations… Read More

(This article belongs to the Section Mechanical Engineering (MEE))

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))

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))

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))

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))

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 SP9 (Special Issue on Multidisciplinary Sciences & Advanced Technology (SI-MSAT 2026)) and the Section Artificial Intelligence – Computer Science (AIC))

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))

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))

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))