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))

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))

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 Haithem Aouabed, Mourad Elloumi and Fahad Algarni
Journal of Engineering Research and Sciences, Volume 3, Issue 10, Page # 54-68, 2024; DOI: 10.55708/js0310006
Abstract: Biclustering is a non-supervised data mining method used to analyze gene expression data by identifying groups of genes that exhibit similar patterns across specific groups of conditions. Discovering these co-expressed genes (called biclusters) can aid in understanding gene interactions in various biological contexts. Biclustering is characterized by its bi-dimensional nature, grouping both genes and conditions… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2024) and the Section Mathematical and Computational Biology (MCB))

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))

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))

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 (SI-CES 2023-24) and the Section Information Systems – Computer Science (ISC))

by Shudeb Babu Sen Omit, Md Mohiuddin, Salma Akhter, Md. Hasan Imam, A. K. M. Mostofa Kamal Habib, Syed Mohammad Meraz Hossain and Nitun Kumar Podder
Journal of Engineering Research and Sciences, Volume 3, Issue 4, Page # 32-41, 2024; DOI: 10.55708/js0304004
Abstract: Comorbidity is the co-existence of one or more diseases that occur concurrently or after the primary disease. Patients may have developed comorbidities for COVID-19 that cause harm to the patient’s organs. Besides, patients with existing comorbidities are at high risk, since mortality rates are strongly influenced by comorbidities or former health conditions. Therefore, we developed… Read More

(This article belongs to the Section Mathematical and Computational Biology (MCB))

by Yi Liu, Wendy Wang, Haibo Wang and Bahram Alidaee
Journal of Engineering Research and Sciences, Volume 2, Issue 12, Page # 23-33, 2023; DOI: 10.55708/js0212004
Abstract: Information extracted from remote sensing data can be applied to monitor the business and natural environments of a geographic area. Although a wide range of classical machine learning techniques have been utilized to obtain such information, their performance differs greatly in classification accuracy. In this study, we aim to examine whether quantum-enhanced machine learning can… Read More

(This article belongs to the Section Remote Sensing (RMS))

by Muhammad Zia ur Rahman, Saba Waseem, Sidra Riaz, Zainab Riaz, Aneeq Asif, Ayesha Siddiqa and Ali Asghar
Journal of Engineering Research and Sciences, Volume 1, Issue 4, Page # 87-92, 2022; DOI: 10.55708/js0104012
Abstract: This paper explains the algorithm for fire alarm for the purpose of safety from any loss and property damage. Here, the designed algorithm is for the comparison of captured pictures. The purpose of comparison is to validate our results. In captured pictures, there may exist fire colour in pictures, which is the indication of fire… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2022) and the Section Interdisciplinary Applications – Computer Science (IAC))

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 Manasa Mandapati and Prabhat Ranjan
Journal of Engineering Research and Sciences, Volume 5, Issue 2, Page # 24-35, 2026; DOI: 10.55708/js0502003
Abstract: Various neurological disorders (NDs) across the globe are prevalent among children, affecting their quality of life. Among them are Attention Deficit Hyperactivity Disorder (ADHD), Autism Spectrum Disorder (ASD), and comorbid conditions, which are defined by the proximity of symptoms of inattention, hyperactivity, and impulsivity that are accompanied by impairment in several functional domains. The overall… 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 Neurosciences (NES))

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))

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 (SI-MSAT 2025) and the Section Artificial Intelligence – Computer Science (AIC))

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))

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 Dirk Henrici and Andreas Boose
Journal of Engineering Research and Sciences, Volume 4, Issue 10, Page # 1-8, 2025; DOI: 10.55708/js0410001
Abstract: The mobile data service in cellular networks can be more than just providing Internet access: it can connect mobile devices seamlessly and transparently to private networks like company intranets and home networks. Such a service is nowadays provided to usually larger customers based on customer-specific access point names and connecting the private data path via… Read More

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

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))

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 (SI-MSAT 2025) and the Section Artificial Intelligence – Computer Science (AIC))

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))

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))

by Oumayma Haberchad and Yassine Salih-Alj
Journal of Engineering Research and Sciences, Volume 4, Issue 5, Page # 10-19, 2025; DOI: 10.55708/js0405002
Abstract: Real-time monitoring of injection molding parameters plays a pivotal role in enhancing product quality, reducing defects and improving production. This study presents a cavity data acquisition system for real time monitoring of process parameters inside the mold. The system consists of non-destructive in-mold sensors that monitor the status of the melt within the cavities. Furthermore,… Read More

(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences (SI-CES 2024-25) and the Section Manufacturing Engineering (MNE))

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))

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 (SI-CES 2024-25) and the Section Artificial Intelligence – Computer Science (AIC))