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Keyword: SEElectric 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))
Water Potability Prediction Using Neural Networks
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 2024-25 and the Section Artificial Intelligence – Computer Science (AIC))
AI-Driven Digital Transformation: Challenges and Opportunities
by Maikel Leon
Journal of Engineering Research and Sciences, Volume 4, Issue 4, Page # 8-19, 2025; DOI: 10.55708/js0404002
Abstract: This paper explores the crucial role of Artificial Intelligence (AI) in driving digital transformation across industries. It examines machine learning, deep learning, fuzzy logic, genetic algorithms, reinforcement learning, and generative AI techniques, highlighting their development, applications, and examples. Case studies showcase AI’s impact in optimizing supply chains, improving financial operations, boosting customer engagement, and revolutionizing… 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))
Enhancing Breast Cancer Detection through a Hybrid Approach of PCA and 1D CNN
by Samet Aymaz
Journal of Engineering Research and Sciences, Volume 4, Issue 4, Page # 20-30, 2025; DOI: 10.55708/js0404003
Abstract: Breast cancer is a prevalent disease, particularly among women. Unlike many other cancers, early diagnosis and treatment can significantly improve patients’ quality of life. This study develops a hybrid approach for breast cancer detection using the Wisconsin datasets by combining Principal Component Analysis (PCA) and 1D Convolutional Neural Network (CNN) architectures to effectively separate and… 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))
Software Development and Application for Sound Wave Analysis
by Eunsung Jekal, Juhyun Ku and Hyoeun Park
Journal of Engineering Research and Sciences, Volume 4, Issue 3, Page # 8-21, 2025; DOI: 10.55708/js0403002
Abstract: In this paper, we developed our own software that can analyze piano performance by using short-time Fourier transform, non-negative matrix decomposition, and root mean square. Additionally, we provided results that reflected the characteristics and signal analysis of various performers for the reliability of the developed software. The software was coded through Python, and it actively… Read More
(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences 2024-25 and the Section Acoustics (ACO))
Product in Product Type Estimator with Exponential and Log Function to Estimate Population Mean Using DSS
by Sangeeta Malik, Rubal Sharma and Ruchi Gupta
Journal of Engineering Research and Sciences, Volume 4, Issue 2, Page # 11-17, 2025; DOI: 10.55708/js0402002
Abstract: To estimate the population, mean in two-phase stratified sampling, this paper aims to construct a new product in the product type estimator using exponential and log functions. When using two samples for stratification, this study attempts to solve the equation for bias and mean squared error (MSE) up to the first degree of approximation (fda).… Read More
(This article belongs to the Section Mathematics (MAT))
Analysis of 5G Business Model Components for Mobile Network Operators in Sub-Saharan Africa
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))
Enhancing Python Code Embeddings: Fusion of Code2vec with Large Language Models
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))
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))
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))
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))
Comparing the Performance of Recycled Calcined Bauxite vs. Locally Available Aggregate as Components in High Friction Surface Treatment Applications
by Eslam Deef-Allah, Korrenn Broaddus and Magdy Abdelrahman
Journal of Engineering Research and Sciences, Volume 3, Issue 11, Page # 41-59, 2024; DOI: 10.55708/js0311004
Abstract: For safe driving, the proper level of pavement friction must be maintained. The capacity of a pavement surface to offer friction to vehicles during cornering maneuvers or crucial braking is improved by high friction surface treatment. Calcined Bauxite is the most often utilized high friction aggregate. Calcined Bauxite, a byproduct, was the priciest aggregate relative… Read More
(This article belongs to the Section Civil Engineering (CVE))
An Educational Exhibit Aimed at Demonstrating the Rate of Growth of Computer Technology to Graduate Students
by Giacomo Bucci and Imad Zaza
Journal of Engineering Research and Sciences, Volume 3, Issue 11, Page # 1-23, 2024; DOI: 10.55708/js0311001
Abstract: This paper is an extended version of that presented at the conference Histelcon 2021 (IEEE). It provides a deeper illustration of the elements of the exhibit under development at the Faculty of Engineering at the University of Florence (Italy). The paper presented at Histelcon 2021 focussed on the birth of microprocessors, on the 8086, on… Read More
(This article belongs to the Section Information Systems – Computer Science (ISC))
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 2024 and the Section Artificial Intelligence – Computer Science (AIC))
Biclustering Results Visualization of Gene Expression Data: A Review
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 2024 and the Section Mathematical and Computational Biology (MCB))
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))
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 2024 and the Section Transportation Science & Technology (TST))
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 2024 and the Section Horticulture (HOR))
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 2024 and the Section Cybernetics – Computer Science (CYC))
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 2024 and the Section Medical Informatics (MDI))
Improving Distribution Power System Efficiency using Power Loss Reduction by Installing the Distributed Generations
by Usman Asghar, Syed Zulqadar Hassan, Muhammad Ahmed, Arsalan Masood, Muhammad Naqi Raza and Tariq Kamal
Journal of Engineering Research and Sciences, Volume 3, Issue 9, Page # 1-15, 2024; DOI: 10.55708/js0309001
Abstract: The current scenario of Pakistan's power sector stipulates the financial and technical viability of the utility companies to meet the escalating demands for electricity. Financial resources are required for the generation of electricity; which Pakistan cannot afford in the present situation. Pakistan have a huge potential for renewable energy resources; different areas across the country… Read More
(This article belongs to the Section Electrical Engineering (ELE))
MCNN+: Gemstone Image Classification Algorithm with Deep Multi-feature Fusion CNNs
by Haoyuan Huang and Rongcheng Cui
Journal of Engineering Research and Sciences, Volume 3, Issue 8, Page # 15-20, 2024; DOI: 10.55708/js0308002
Abstract: Accurate gemstone classification is critical to the gemstone and jewelry industry, and the good performance of convolutional neural networks in image processing has received wide attention in recent years. In order to better extract image content information and improve image classification accuracy, a CNNs gemstone image classification algorithm based on deep multi-feature fusion is proposed.… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 and the Section Artificial Intelligence – Computer Science (AIC))
Dynamic and Partial Grading of SQL Queries
by Benard Wanjiru, Patrick van Bommel and Djoerd Hiemstra
Journal of Engineering Research and Sciences, Volume 3, Issue 8, Page # 1-14, 2024; DOI: 10.55708/js0308001
Abstract: Automated grading systems can help save a lot of time when evaluating students’ assignments. In this paper we present our ongoing work for a model for generating correctness levels. We utilize this model to demonstrate how we can grade students SQL queries employing partial grading in order to allocate points to parts of the queries… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 and the Section Artificial Intelligence – Computer Science (AIC))
A Computational Approach for Recognizing Text in Digital and Natural Frames
by Mithun Dutta, Dhonita Tripura and Jugal Krishna Das
Journal of Engineering Research and Sciences, Volume 3, Issue 7, Page # 53-58, 2024; DOI: 10.55708/js0307005
Abstract: Acquiring tenable text detection and recognition outcomes for natural scene images as well as for digital frames is very challenging emulating task. This research approaches a method of text identification for the English language which has advanced significantly, there are particular difficulties when applying these methods to languages such as Bengali because of variations in… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 and the Section Artificial Intelligence – Computer Science (AIC))
Reviewing the Value of Electric Vehicles in Achieving Sustainability
by Prashobh Karunakaran and Mohammad Shahril Osman
Journal of Engineering Research and Sciences, Volume 3, Issue 7, Page # 1-10, 2024; DOI: 10.55708/js0307001
Abstract: This paper aims to narrow the gap of the narratives blasted out in the media (including social media) about electric cars versus the conventional way humans have been transported over the last 100 years. The ICE industry is closely connected to the O & G because 64 % of the output of the O &… Read More
(This article belongs to the Section Electrical Engineering (ELE))