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Keyword: evaluationEvaluation 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))
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))
An Evaluation of 2D Human Pose Estimation based on ResNet Backbone
by Hai-Yen -Tran, Trung-Minh Bui, Thi-Loan Pham and Van-Hung Le
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 59-67, 2022; DOI: 10.55708/js0103007
Abstract: 2D HumanPose Estimation (2D-HPE) has been widely applied in many practical applications in life su ction, human-robot interaction, using Convolutional Neural Networks (CNNs), which has achieved many good results. In particular, the 2D-HPE results are intermediate in the 3D Human Pose Estimation (3D-HPE) process. In this paper, we perform a study to compare the results… Read More
(This article belongs to the Special Issue on SP1 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2022) and the Section Interdisciplinary Applications – Computer Science (IAC))
Unveiling the Evolving Threat Landscape of Distributed Denial-of-Service (DDoS) Attacks Methodology and Security Measures
by Eman Eyadat, Mohammad Eyadat and Abedalrahman Alfaqih
Journal of Engineering Research and Sciences, Volume 4, Issue 10, Page # 9-20, 2025; DOI: 10.55708/js0410002
Abstract: This paper proposes a concrete severity classification framework and an evaluation lens for DDoS defenses (not a descriptive survey) and contributes two specific advancements. First, it introduces a quartile-based severity classification framework for Distributed Denial of Service (DDoS) attacks that extends beyond conventional binary detection. The framework classifies observed traffic into four categories (Q1–Q4) using… 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 Information Systems – Computer Science (ISC))
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 SP7 (Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2025)) and the Section Artificial Intelligence – Computer Science (AIC))
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))
Advanced Cloud-Based Solutions for Peripheral Artery Disease: Diagnosis, Analysis, and Visualization
by Mohammed A. AboArab, Vassiliki T. Potsika and Dimitrios I. Fotiadis
Journal of Engineering Research and Sciences, Volume 3, Issue 12, Page # 24-35, 2024; DOI: 10.55708/js0312003
Abstract: Peripheral artery disease (PAD) affects 237 million people globally, leading to significant morbidity and mortality. Traditional diagnostic methods are invasive, costly, and require specialized expertise, emphasizing the need for more accessible, and accurate alternatives. This paper introduces the DECODE cloud platform, an advanced tool that leverages cloud computing, machine learning, and high-performance data visualization to… Read More
(This article belongs to the Special Issue on SP5 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2024) and the Section Medical Informatics (MDI))
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))
Competency Manifestation Clues within Interactions in Computer Mediated Communication
by Hocine Merzouki, Nada Matta, Hassan Atifi and Francois Rauscher
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 167-178, 2022; DOI: 10.55708/js0105018
Abstract: The notion of competence is multidimensional and polysemic. Several definitions of this notion are present in the literature according to disciplines such as industry, sociology, management, psychology, etc. It often refers to the experience, knowledge, abilities, skills, behaviors, and attitudes that allow valuable action in a workplace. Beyond its intrinsic value for the individual, competence… Read More
(This article belongs to the Special Issue on SP1 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2022) and the Section Interdisciplinary Applications – Computer Science (IAC))
Quantitative Analysis Between Blackboard Learning Management System and Students’ Learning
by Charles Darko
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 119-133, 2022; DOI: 10.55708/js0105013
Abstract: Proper use of the Blackboard Learning Management System (LMS) motivates students to engage with their studies but the students within Material Science and Engineering (MSE) often use these LMSs to copy mathematical derivations, scientific information and submit coursework tasks without spending much time interacting with the system. Quantitatively, there is a piece of missing information… Read More
(This article belongs to the Section Education and Educational Research (EER))
Methodology for Learning Mathematics Based on Collaborative Work with the Support of ICT Tools and Virtual Environments of the UCN Campus
by Carlos Esteban Huerta Briones
Journal of Engineering Research and Sciences, Volume 1, Issue 4, Page # 81-86, 2022; DOI: 10.55708/js0104011
Abstract: The article indicated basically showed the autonomous collaborative work of the students and no direct reference was made regarding the work in remote classroom, this time what is presented is a methodology of direct work of the teacher with the students during the teaching sessions, which last 60 minutes in times of pandemic, which allowed… Read More
(This article belongs to the Section Education and Educational Research (EER))
Cascaded Keypoint Detection and Description for Object Recognition
by Abdulmalik Danlami Mohammed, Ojerinde Oluwaseun Adeniyi, Saliu Adam Muhammed, Mohammed Abubakar Saddiq and Ekundayo Ayobami
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 164-169, 2022; DOI: 10.55708/js0103017
Abstract: Keypoints detection and the computation of their descriptions are two critical steps required in performing local keypoints matching between pair of images for object recognition. The description of keypoints is crucial in many vision based applications including 3D reconstruction and camera calibration, structure from motion, image stitching, image retrieval and stereo images. This paper therefore,… Read More
(This article belongs to the Special Issue on SP1 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2022) and the Section Interdisciplinary Applications – Computer Science (IAC))