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Keyword: AIComprehensive E-learning of Mathematics using the Halomda Platform enhanced with AI tools
by Philip Slobodsky and Mariana Durcheva
Journal of Engineering Research and Sciences, Volume 3, Issue 4, Page # 10-19, 2024; DOI: 10.55708/js0304002
Abstract: The method of assessment affects on learning by determining how students manage their time and prioritize subjects. It is widely accepted that students may demonstrate different skills in different assessment formats. The authors demonstrated how e-assessment through the Halomda educational platform can not only improve student learning outcomes, but also enrich their learning experiences. In… Read More
(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences (SI-CES 2023-24) and the Section Education and Educational Research (EER))
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))
Baggage Cart with Weighing Mechanism for Hotels and Airlines
by Vishal Verma, Kuldeep Kumar, Rashmi Aggarwal and Tanvi Verma
Journal of Engineering Research and Sciences, Volume 3, Issue 1, Page # 6-10, 2024; DOI: 10.55708/js0301002
Abstract: In this article, it has been proposed a functional design of Baggage Cart with Weighing Mechanism for Hospitality Industry based on empirical observations. This design is expected to promote and become one of the high demand products which can later be used especially by hotels and respective airlines. It has been often observed that travelers… Read More
(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences (SI-CES 2023-24) and the Section Hospitality, Leisure, Sport and Tourism (HLT))
Application of deuterium Oxide (D<sub>2</sub>O) Isotope Tracing Technique for Land Grid Array Package Failure Analysis
by Liao Jinzhi Lois, Liu Qing, Quan Jing, Ye Qing, Zhang Xi, Hua Younan and Li Xiaomin
Journal of Engineering Research and Sciences, Volume 3, Issue 1, Page # 1-5, 2024; DOI: 10.55708/js0301001
Abstract: A land grid array (LGA) is an integrated circuit design with a grid of contacts connected to other components of a printed circuit board. LGA is used for various high-speed and high-frequency applications due to its small terminal parasitic inductance. However, LGA packages are non-hermetic, as most the components of the LGA, like epoxy molding… Read More
(This article belongs to the Section Electronic Engineering (EEE))
Failure Analysis & Mechanism Studies of the Worm-like Defects in Vias of Wafer Fabrication
by Hua Younan, Liao Jinzhi Lois, Liu Binghai, Zhu Lei and Li Xiaomin
Journal of Engineering Research and Sciences, Volume 2, Issue 12, Page # 1-6, 2023; DOI: 10.55708/js0212001
Abstract: In semiconductor wafer fabrication, the contamination issue by halogens (such as F, Cl, and Br) brings great challenges to metallization processes in the back end of line (BEOL). For aluminum (Al) back-end process, severe metal corrosion may occur by halogens, forming aluminum halide defects. Such halogen-induced metal corrosion issue creates the defects on Al metal… Read More
(This article belongs to the Section Electrical Engineering (ELE))
Blockchain Tokens for Agri-Food Supply Chain
by Ricardo Borges Dos Santos, Rodrigo Palucci Pantoni and Nunzio Marco Torrisi
Journal of Engineering Research and Sciences, Volume 2, Issue 2, Page # 15-23, 2023; DOI: 10.55708/js0202003
Abstract: The aim of this research is to suggest and analyze a framework to give universal publicity to food properties certificates from any certification authorities. The focus is the certification of agro product instances, i.e. unique for every single harvest, using smart contracts and blockchain non fungible tokens minted by third-party authorities. The development and testing… Read More
(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences (SI-CES 2022-23) and the Section Information Systems – Computer Science (ISC))
Linking Consumer Innovativeness to the Cryptocurrency Intention: Moderating Effect of the LOHAS (Lifestyle of Health and Sustainability) Lifestyle
by Sooyeon Choi and Richard A. Feinberg
Journal of Engineering Research and Sciences, Volume 1, Issue 12, Page # 1-6, 2022; DOI: 10.55708/js0112001
Abstract: Cryptocurrency is gaining worldwide recognition. This research examines the role of personality and psychological factors in consumers’ cryptocurrency adoption behavior. 452 samples are collected from U.S consumers and the data are analyzed by PLS-SEM. The findings reveal that consumer innovativeness has a positive influence on the intention to use cryptocurrency and its impact is partially… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2022) and the Section Ergonomics (ERG))
CRESustain: Approach to Include Sustainability and Creativity in Requirements Engineering
by Clara Silveira, Vitor Santos, Leonilde Reis and Henrique Mamede
Journal of Engineering Research and Sciences, Volume 1, Issue 8, Page # 27-34, 2022; DOI: 10.55708/js0108004
Abstract: Requirements Engineering is an evolving field facing new challenges. One of the central conundrums is sustainability in software. The possibility of using known creativity techniques while introducing the dimensions of sustainability to help provide unexpected, original, practical, and sustainable answers in software development is challenging and motivating. This paper proposes an approach, CRESustain, incorporating sustainability… 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))
Use of Uncertain External Information in Statistical Estimation
by Sergey Tarima and Zhanna Zenkova
Journal of Engineering Research and Sciences, Volume 1, Issue 8, Page # 12-18, 2022; DOI: 10.55708/js0108002
Abstract: A product’s life cycle hinges on its sales. Product sales are determined by a combination of market demand, industrial production, logistics, supply chains, labor hours, and countless other factors. Business-specific questions about sales are often formalized into questions relating to specific quantities in sales data. Statistical estimation of these quantities of interest is crucial but… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2022) and the Section Statistics & Probability (STP))
A Review on Materials and Experimental Process used in Air-spring
by Karnam Shri Harsh and Surbhi Razdan
Journal of Engineering Research and Sciences, Volume 1, Issue 7, Page # 29-37, 2022; DOI: 10.55708/js0107005
Abstract: The present paper reviews an air spring, its types and construction, manufacturing process, testing and process of FEA analysis. Air spring is of three types - Sleeve-type air spring (SAS), Rolling-Lobe Air-Spring (RLAS), and Convoluted Air Spring (CAS). Spring stiffness is the main factor during manufacturing; to obtain it by FEA analysis and experimentation process… Read More
(This article belongs to the Section Mechanical Engineering (MEE))
Blockchain Based Framework for Securing Students’ Records
by Omega Sarjiyus and Israel Isaiah
Journal of Engineering Research and Sciences, Volume 1, Issue 6, Page # 45-54, 2022; DOI: 10.55708/js0106006
Abstract: Right now, colleges, as focuses of exploration and development, coordinate in their cycles different advances that permit further developing administrations and cycles for their individuals. Among the inventive innovations is the Web of Things that permits getting information from the climate and individuals through various gadgets. Security of information on college grounds is expected to… Read More
(This article belongs to the Section Cybernetics – Computer Science (CYC))
An Algebraic Specification/Schema for JSON
by Konstantinos Barlas and Petros Stefaneas
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 243-250, 2022; DOI: 10.55708/js0105025
Abstract: Java Script Object Notation (JSON) is an open standard data format that is used widely across the internet data due to its low overhead. While originally created in the early 2000s, it has only gained standard status in 2013 and then again in 2017 with a new version that focused more on security and interoperability.… Read More
(This article belongs to the Section Software Engineering – Computer Science (SEC))
Barriers of the Green Supply Chain Management Implementation: A Benchmark of Studies of Analytic Hierarchy Process and Interpretive Structural Modeling
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 (SI-MSAT 2022) and the Section Green and Sustainable Science & Technology (GSS))
Humankind and Ubiquitous Autonomous AI: A Symbiotic or Dystopian Interaction? A Socio-Philosophical Inquiry
by Michael A. Vidalis and Antonios S. Andreatos
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 109-118, 2022; DOI: 10.55708/js0105012
Abstract: The technological revolution in Artificial Intelligence (AI) and Autonomous Robotics is expected to transform societies in ways we cannot even imagine. The way we live, interact, work, and fight wars, will not be like anything witnessed before in human history. This qualitative research paper endeavors to examine the effect of said technological advancements on multiple… Read More
(This article belongs to the Section Ethics (ETH))
Analyzing the Impact of Challenges in Prefabricated Building Construction Supply Chains
by Rishabh Rastogi, Sushil Kumar Solanki and Virendra Kumar Paul
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 71-78, 2022; DOI: 10.55708/js0105008
Abstract: Across various barriers pertaining to prefabricated building construction projects, a major barrier identified by the literature was integration of various components of prefabricated building project supply chain network, including the material and human resource supply chains. The literature suggests a need of exploring this barrier of supply chain integration into its various sub factors/challenges (termed… Read More
(This article belongs to the Section Construction and Building Technology (CBT))
PWM Controlled Bidirectional Converter having Load-Independent Voltage-Gain
by Muhammad Tanveer Riaz, Umar Saeed, Saba Waseem, Sidra Riaz and Eman Manzoor Ahmed
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 34-40, 2022; DOI: 10.55708/js0105004
Abstract: The power balancing is the issue that creates when voltage fluctuations occur in the DC microgrid. In order to compensate for the DC bus voltages in the DC microgrid, the energy storage system is used. This system absorbs or releases the power to make the DC bus voltages is stable. In this research, a bidirectional… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2022) and the Section Electrical Engineering (ELE))
Machine Learning Aided Depression Detection in Community Dwellers
by Vijay Kumar, Muskan Khajuria and Anshu Singh
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 17-24, 2022; DOI: 10.55708/js0105002
Abstract: Depression is a mental condition that can have serious negative effects on an individual’s thoughts and nd health problems that could lead to grave heart diseases. Depression detection has become necessary in community dwellers considering the lifestyle being followed. Here we use NHANES dataset to compare the performance of various machine learning algorithms in depression… Read More
(This article belongs to the Section Artificial Intelligence – Computer Science (AIC))
Effective Approach Experience for Practical Training using Web-Based Platforms and Tools in the Context of the COVID-19 Pandemic
by Radoslav Hrischev
Journal of Engineering Research and Sciences, Volume 1, Issue 4, Page # 22-27, 2022; DOI: 10.55708/js0104003
Abstract: This article is a result of the need to quickly and efficiently organize distance learning for students during the pandemic caused by COVID-19. Some e-learning opportunities provided by internet technologies, web-based platforms, online engineering tools are presented. Examples of training students in business information systems based on learning platforms and demo systems are presented, as… Read More
(This article belongs to the Section Education and Educational Research (EER))
Detailed Overview on POLYMATH Software for Chemical Engineering Analysis
by Abdulhalim Musa Abubakar, Bello Iliyasu and Zakiyyu Muhammad Sarkinbaka
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 133-147, 2022; DOI: 10.55708/js0103014
Abstract: It is pertinent to highlight areas POLYMATH software is useful for chemical engineering analysis. Its applications had been demonstrated in this paper using 10 Problem Set, in areas that includes transport phenomena, heat transfer, reaction, and bioreaction kinetics to solve differential equations, nonlinear equations, simultaneous linear equations, graphical representation and regression problems arising in these… Read More
(This article belongs to the Section Chemical Engineering (CHE))
Bearing Fault Diagnosis Based on Ensemble Depth Explainable Encoder Classification Model with Arithmetic Optimized Tuning
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 (SI-MSAT 2022) and the Section Artificial Intelligence – Computer Science (AIC))
Dynamic Error Management in SAP: A Comprehensive Analysis
by Vinayak Kalabhavi
Journal of Engineering Research and Sciences, Volume 5, Issue 3, Page # 21-26, 2026; DOI: 10.55708/js0503003
Abstract: Enterprise Resource Planning (ERP) systems, particularly SAP, face increasing demands for real-time operations and minimal downtime, necessitating sophisticated error management approaches. This paper examines the evolution from reactive to dynamic error management in SAP environments, analyzing theoretical frameworks and practical implementations. Through comprehensive literature review spanning 2000-2025, we explore hybrid error detection frameworks combining rule-based… Read More
(This article belongs to the Section Software Engineering – Computer Science (SEC))
A Note on Modified Stokes’ Problems for Fluids with Power-Law Dependence of Viscosity on Pressure with 3/2 index
by Constantin Fetecau
Journal of Engineering Research and Sciences, Volume 5, Issue 3, Page # 14-20, 2026; DOI: 10.55708/js0503002
Abstract: The modified Stokes’ problems for incompressible Newtonian fluids with power-law dependence of viscosity on the pressure of 3/2 index are analytically investigated. The influence of the gravitational acceleration is taken into account. Exact expressions are derived for permanent dimensionless velocity and shear stress fields in terms of standard Bessel functions. They satisfy the governing equations… Read More
(This article belongs to the Section Fluids and Plasma Physics (FPP))
How to Fix Automation Flakiness: Root Causes and Enterprise-Level Solutions
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))
Harnessing the Power of Machine Learning and Sensor Detection in a Simulation for the Design of Smart Date Harvesting Robot
by Hanan Hassan Ali Adlan, Reham Al Zamanan, Leen Almufleh, Tala Almuqrin and Jory Alhassoun
Journal of Engineering Research and Sciences, Volume 5, Issue 2, Page # 1-8, 2026; DOI: 10.55708/js0502001
Abstract: The Traditional date harvesting is labor-intensive and inefficient, leading to losses and quality issues. This paper introduces an AI-powered robotic system that automates date harvesting using computer vision, LiDAR sensors, and a robotic arm with a suction mechanism. The robot is capable of perception, it detects, classifies, and harvests ripe dates autonomously, ensuring minimal damage… Read More
(This article belongs to the Section Automation and Control Systems (ACS))
Binary Image Classification with CNNs, Transfer Learning and Classical Models
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))