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Keyword: ModelCloud ERP vs. On-Premise QAD ERP: A Cost-Benefit Analysis for Mid-Sized Manufacturers
by Ravi Jaiswal
Journal of Engineering Research and Sciences, Volume 4, Issue 7, Page # 1-14, 2025; DOI: 10.55708/js0407001
Abstract: For mid-sized manufacturing firms, the Enterprise Resource Planning (ERP) system plays a crucial role in streamlining operations and enabling strategic growth. Both adopting cloud-based ERP solutions and continuing to use On-Premise applications like QAD are important decisions as digital transformation increases. In this study, we conduct a retrospective case study of the cost-benefit analysis of… Read More
(This article belongs to the Section Information Systems – Computer Science (ISC))
Fire Type Classification in the USA Using Supervised Machine Learning Techniques
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 SP6 (Special Issue on Computing, Engineering and Sciences (SI-CES 2024-25)) and the Section Remote Sensing (RMS))
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 SP6 (Special Issue on Computing, Engineering and Sciences (SI-CES 2024-25)) 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 SP7 (Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2025)) and the Section Artificial Intelligence – Computer Science (AIC))
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))
Evaluation of Equivalent Aacceleration Factors of Repairable Systems in a Fleet: a Process-Average-Based Approach
by Renyan Jiang, Kunpeng Zhang, Xia Xu and Yu Cao
Journal of Engineering Research and Sciences, Volume 3, Issue 10, Page # 44-54, 2024; DOI: 10.55708/js0310005
Abstract: Research on repairable systems in a fleet is mainly concerned with modelling of the failure times using point processes. One important issue is to quantitatively evaluate the heterogeneity among systems, which is usually analyzed using frailty models. Recently, a fleet heterogeneity evaluation method is proposed in the literature. This method describes the heterogeneity with the… Read More
(This article belongs to the Special Issue on SP5 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2024) and the Section Operations Research and Management Science (ORM))
An Integrated Approach to Manage Imbalanced Datasets using PCA with Neural Networks
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 SP5 (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 SP5 (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 SP5 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2024) and the Section Artificial Intelligence – Computer Science (AIC))
Educational Applications and Comparative Analysis of Network Simulators: Protocols, Types, and Performance Evaluation
by Nikolaos V. Oikonomou and Dimitrios V . Oikonomou
Journal of Engineering Research and Sciences, Volume 3, Issue 6, Page # 18-32, 2024; DOI: 10.55708/js0306003
Abstract: This work explores the role of simulation in computer networks, discussing various network types, communication protocols, and the utilization of network simulators, with a focus on educational settings. We specifically analyze and compare five prominent network simulators: Cisco Packet Tracer, Riverbed Modeler Academic Edition, GNS3, NS-3, and Mininet. These tools are examined in terms of… Read More
(This article belongs to the Special Issue on SP4 (Special Issue on Computing, Engineering and Sciences 2023-24) and the Section Software Engineering – Computer Science (SEC))
Computational and Bioinformatics Approaches for Identifying Comorbidities of COVID-19 Using Transcriptomic Data
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))
Numerical Analysis of Riverbank Slope Stability Considering Rainfall, Vegetation and Water Level Fluctuation
by Md Tanvir Ahsan, Ji-Peng Wang, Saidov Mirzo Sibgatullovich, Abdelali Dadda and Salikhov Farid Salokhiddinovich
Journal of Engineering Research and Sciences, Volume 3, Issue 4, Page # 20-31, 2024; DOI: 10.55708/js0304003
Abstract: The occurrence of landslides and slope instability along riparian zones has been a recurrent phenomenon of substantial concern globally. This paper presents a comprehensive investigation of riverbank slope stability utilizing soils from the Yellow River in China, with a particular emphasis on the effects of water level fluctuations, precipitation, and vegetation. The research examines the… Read More
(This article belongs to the Section Civil Engineering (CVE))
Asthma Monitoring Systems Based on Electro-Infrared Sensors: A Review
by Auns Qusai Al-Neami and Zina Ali Abed
Journal of Engineering Research and Sciences, Volume 3, Issue 3, Page # 27-32, 2024; DOI: 10.55708/js0303004
Abstract: Asthma is one of the chronic diseases that affected on the respiratory system. Studies had showed that more than 350 million people who suffering from asthma around the world which is equivalent to 1 in each 12 adults. Many intelligent monitoring systems had proposed in order to help the patient to know the situation before… Read More
(This article belongs to the Section Biomedical Engineering (BIE))
Missile Guidance using Proportional Navigation and Machine Learning
by Mirza Hodžić and Naser Prljača
Journal of Engineering Research and Sciences, Volume 3, Issue 3, Page # 19-26, 2024; DOI: 10.55708/js0303003
Abstract: Variants of proportional navigation (PN) are perhaps mostly used guidance laws for tactical homing missiles. PN aims to generate commanding missile lateral acceleration proportional to line of sight (LOS) angular rate, so that missile velocity vector rotates in such a way to assure interception of a target. In order to generate commanding lateral accelerations, the… Read More
(This article belongs to the Special Issue on SP4 (Special Issue on Computing, Engineering and Sciences 2023-24) and the Section Aerospace Engineering (ARO))
BIM and Sustainable Design: A Review of Strategies and Tools for Green Building Practices
by Muhammad Numan, Usama Saadat and Muhammad Usman Farooq
Journal of Engineering Research and Sciences, Volume 3, Issue 2, Page # 1-7, 2024; DOI: 10.55708/js0302001
Abstract: Building Information Modeling (BIM) provides a robust foundation for driving sustainability across architecture, engineering and construction (AEC) practices. This paper presents a systematic review of literature elucidating the confluence of BIM tools and processes with accelerated performance simulations and green building certification systems needed to guide environmentally sensitive design. Integrated Revit-Insight 360 is shown to… Read More
(This article belongs to the Section Civil Engineering (CVE))
BIM and Risk Management: A Review of Strategies for Identifying, Analysing and Mitigating Project Risks
by Muhammad Numan
Journal of Engineering Research and Sciences, Volume 3, Issue 1, Page # 20-26, 2024; DOI: 10.55708/js0301004
Abstract: Construction projects involve numerous risks that can impact cost, schedule, quality, safety, and sustainability. Effective risk management is critical for project success. Building Information Modelling (BIM) offers capabilities that can transform risk management across the project lifecycle. This paper provides a systematic review of how BIM can aid core risk management processes including identification, analysis,… Read More
(This article belongs to the Section Civil Engineering (CVE))
Neural Synchrony-Based State Representation in Liquid State Machines, an Exploratory Study
by Nicolas Pajot and Mounir Boukadoum
Journal of Engineering Research and Sciences, Volume 2, Issue 11, Page # 1-14, 2023; DOI: 10.55708/js0211001
Abstract: Solving classification problems by Liquid State Machines (LSM) usually ignores the influence of the liquid state representation on performance, leaving the role to the reader circuit. In most studies, the decoding of the internally generated neural states is performed on spike rate-based vector representations. This approach occults the interspike timing, a central aspect of biological… Read More
(This article belongs to the Special Issue on SP4 (Special Issue on Computing, Engineering and Sciences 2023-24) and the Section Neurosciences (NES))
Orthogonal Polynomials in the Problems of Digital Information Processing
by Yaroslav Pyanylo, Valentyna Sobko, Halyna Pyanylo and Oksana Pyanylo
Journal of Engineering Research and Sciences, Volume 2, Issue 5, Page # 1-9, 2023; DOI: 10.55708/js0205001
Abstract: The paper examines spectral methods based on classical orthogonal polynomials for solving problems of digital information processing. Based on Jacobi polynomials, signal approximation methods are built to identify objects in the natural environment. Based on Chebyshev-Laguerre polynomials, methods of filtering multiplicative signal noises in linear filter models are proposed. Numerical experiments on model problems were… Read More
(This article belongs to the Special Issue on SP2 (Special Issue on Computing, Engineering and Sciences 2022-23) and the Section Mathematics (MAT))
An Advanced Load-Line Analysis Software for use in the Design and Simulation of Microwave Low-Distortion, High-Efficiency and High-Power GaN HEMT Amplifiers
by Yasushi Itoh, Takana Kaho and Koji Matsunaga
Journal of Engineering Research and Sciences, Volume 2, Issue 4, Page # 14-21, 2023; DOI: 10.55708/js0204002
Abstract: An advanced load-line analysis software is devised for nonlinear circuit design and simulation of microwave low-distortion, high-efficiency and high-power GaN HEMT amplifiers. A single software package can incorporate DC, small- and large-signal performances of GaN HEMT devices, and then analyze nonlinear performance of amplitude-to-amplitude (AM-AM) and amplitude-to-phase (AM-PM) modulations, and finally evaluate intermodulation distortion (IMD)… Read More
(This article belongs to the Section Electronic Engineering (EEE))
Design Consideration for IGBT-Based PWM Inverter-Fed Induction Motors
by Joel Ogunyemi, Olawale Ezekiel Fagbuaro and Henry Sunday Okeke
Journal of Engineering Research and Sciences, Volume 1, Issue 12, Page # 21-27, 2022; DOI: 10.55708/js0112004
Abstract: Pulse width modulated (PWM) inverter has applications in many areas as it offers control of voltage, frequency, and harmonic in one power stage. In the practical design of three-phase inverter circuits, a proper understanding of the operations and peculiarities of the specific model to be built is necessary. Most often, perhaps due to different models… Read More
(This article belongs to the Section Electrical Engineering (ELE))
Analyzing the Measurement Accuracy of 3D Reconstruction for Small Objects using Different Software; A Case Study
by Indrit Enesi and Anduel Kuqi
Journal of Engineering Research and Sciences, Volume 1, Issue 12, Page # 9-14, 2022; DOI: 10.55708/js0112002
Abstract: 3D reconstructions are widely used, the main challenge of them is the accuracy especially for small and detailed objects. Various software exists for 3D reconstruction, free and paid ones with various performances. In this paper the performance of 3D object reconstruction will be evaluated in terms of size accuracy. The aim of the paper is… Read More
(This article belongs to the Section Imaging Science and Photographic Technology (IPT))
Trajectory Correction Method of Motion Description Language of Vertebral Milling Robot based on Force Feedback
by Wei Ding, Zhaoming Liu, Hongwei Wang and Long Cui
Journal of Engineering Research and Sciences, Volume 1, Issue 10, Page # 26-35, 2022; DOI: 10.55708/js0110005
Abstract: In the real-time control procession of the vertebral milling robot, there are problems such as heavy workload of the operator, long working time, operational tremble and complicated procession. In order to solve the clinical practical basic problems such as avoiding excessive milling and force perception control of vertebral milling robot, this paper proposes a method… Read More
(This article belongs to the Special Issue on SP1 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2022) and the Section Automation and Control Systems (ACS))
The Future of Work after COVID-19 from the Office to the Edge: Using the IT Industry as an Example
by Ya-Ning Chang and Chui-Yu Chiu
Journal of Engineering Research and Sciences, Volume 1, Issue 9, Page # 15-32, 2022; DOI: 10.55708/js0109003
Abstract: The spread of the epidemic caused many people to believe the traditional office model is no longer appropriate for modern business, nor is it compatible with the efficiency and innovation demanded by modern business. Individual accomplishment is not measured by where one works, but by achieving a balance between work and life and establishing a… Read More
(This article belongs to the Section Telecommunications (TEL))
Magneto-Optical Waveguide Logic Gates and their Applications
by Shukhrat Egamov, Abduvali Khidirov and Mirzokulov Khotam Bakhtiyor Ugli
Journal of Engineering Research and Sciences, Volume 1, Issue 8, Page # 19-26, 2022; DOI: 10.55708/js0108003
Abstract: The results of studying the possibilities of the properties of magneto-optical qubits obtained using the Faraday rotation effect are presented. Waveguide geometries have been chosen for the design of various information processing and transmission devices based on new concepts creating key elements of logic gates, with new architectures applicable to different fields of science and… Read More
(This article belongs to the Section Applied Physics (APY))
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))