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Open AccessArticle
7 Pages, 7,011 KB Download PDF
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 SP5 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2024) and the Section Software Engineering – Computer Science (SEC))

Open AccessArticle
9 Pages, 5,604 KB Download PDF
Electrochemical Desalination Test of Bricks as a Building Material for Historical Buildings in Japan

by Risako Fukami and Toshiya Matsui
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 79-87, 2022; DOI: 10.55708/js0105009
Abstract: Brick buildings and structures are often exposed to outdoor condition, and deterioration of the bricks due to salt weathering caused by the surrounding environment has been reported in various parts of Japan. In Japan, not only the preservation of cultural properties but also their utilization is currently being promoted, and the beauty of brick surfaces… Read More

(This article belongs to the Special Issue on SP1 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2022) and the Section Construction and Building Technology (CBT))

Open AccessArticle
20 Pages, 4,189 KB Download PDF
Demographic Stereotype Elicitation in LLMs through Personality and Dark Triad Trait Attribution

by Nikolaos Vasileios Oikonomou, Ioannis Palaiokrassas, Dimitrios Vasileios Oikonomou, Sofia Panagiota Chaliasou and Nikolaos Rigas
Journal of Engineering Research and Sciences, Volume 5, Issue 1, Page # 46-65, 2026; DOI: 10.55708/js0501005
Abstract: This study investigates how Large Language Models (LLMs), specifically Meta LLaMA-3.1-8B-Instruct, implicitly attribute personality and Dark Triad traits to demographic personas. By prompting the model with 660 synthetic identity descriptors (constructed from balanced combinations of gender, race, religion, and region) and standardized psychometric questionnaires, we extract Likert-scale responses and compute aggregated Big Five (EACNO) 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))

Open AccessArticle
11 Pages, 3,588 KB Download PDF
A Cloud-Native Decision Intelligence Architecture for Sustainable CPG Supply Chain Networks

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))

Open AccessArticle
20 Pages, 4,630 KB Download PDF
CFD Analysis of Data Center Hall Cooling Performance under Normal and Failure Modes with Control Strategies and Airflow Leakages

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 SP7 (Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2025)) and the Section Mechanical Engineering (MEE))

Open AccessArticle
8 Pages, 1,389 KB Download PDF
Predicting University Success in Mongolia: The Roles of Admission Tests and Prior Academic Achievement

by Ankhbayar Jargalsaikhan and Amarzaya Amartuvshin
Journal of Engineering Research and Sciences, Volume 5, Issue 1, Page # 1-8, 2026; DOI: 10.55708/js0501001
Abstract: This research investigated the factors predicting academic success in Mongolian universities, focusing on university admission test scores and prior academic achievement (high school grade point average). Using data from 21,186 undergraduate students who graduated from major Mongolian universities between 2014 and 2024, the study examined how these factors relate to undergraduate grade point average. Results… 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 Education and Educational Research (EER))

Open AccessArticle
8 Pages, 1,505 KB Download PDF
Energy-Optimized Smart Transformers for Renewable-Rich Grids

by Sunday Omini Oboma and Edward Lambart
Journal of Engineering Research and Sciences, Volume 4, Issue 10, Page # 21-28, 2025; DOI: 10.55708/js0410003
Abstract: The accelerating and unrestrained use of energy globally raises serious concerns for the future of the planet, primarily due to the environmental devastation caused by fossil fuels. Achieving high energy efficiency in both fuel-driven and renewable energy systems is crucial for future energy optimization. Clean energy production is one of the most effective strategies to… Read More

(This article belongs to the Section Energy and Fuels (ENF))

Open AccessArticle
6 Pages, 1,489 KB Download PDF
AI-Enhanced Endpoint Compliance and Automated Vulnerability Management Framework for Essential Government Infrastructure

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))

Open AccessArticle
17 Pages, 2,390 KB Download PDF
Green Tariffs as Market Accelerators for Corporate Renewable Energy Adoption: A Comprehensive Review of U.S. Programs and their Impact on C&I Decarbonization

by Sahil Shah
Journal of Engineering Research and Sciences, Volume 4, Issue 8, Page # 1-17, 2025; DOI: 10.55708/js0408001
Abstract: This paper provides a comprehensive review of green tariff programs in the United States from 2013 to 2025, examining their role as market accelerators for corporate renewable energy adoption and their impact on commercial and industrial (C&I) decarbonization strategies. Green tariffs represent voluntary utility programs that enable large energy customers to procure renewable electricity directly… Read More

(This article belongs to the Section Green and Sustainable Science & Technology (GSS))

Open AccessArticle
9 Pages, 1,548 KB Download PDF
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))

Open AccessArticle
7 Pages, 4,141 KB Download PDF
Cost & Efficiency analysis of Battery & SC based Hybrid Energy Storage system for Solar OFF Grid applications

by Rahul Kotana
Journal of Engineering Research and Sciences, Volume 4, Issue 4, Page # 1-7, 2025; DOI: 10.55708/js0404001
Abstract: This study evaluates the feasibility, efficiency, and cost-effectiveness of a Hybrid Energy Storage System (HESS) for a 30KW Microgrid. The research analyses various storage configurations incorporating batteries and supercapacitors, considering factors such as cost, reliability, and performance. While conventional Battery Energy Storage Systems (BESS) offer lower initial costs, they suffer from long-term reliability issues due… Read More

(This article belongs to the Section Electrical Engineering (ELE))

Open AccessArticle
11 Pages, 1,724 KB Download PDF
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))

Open AccessArticle
7 Pages, 1,363 KB Download PDF
Prevention Methods for Senior Falls

by Eunbi Lee, Ashton Minjae Kim and Eunsung Jekal
Journal of Engineering Research and Sciences, Volume 4, Issue 3, Page # 1-7, 2025; DOI: 10.55708/js0403001
Abstract: This paper deals with the primary factors and countermeasures to prevent falls in seniors in an aging society. Falls among seniors are emerging as a serious social and economic problem, leading to psychological trauma, physical injuries, long-term disabilities, fatalities, and increased medical costs. Therefore, fall prevention is essential for improving an individual’s quality of life… Read More

(This article belongs to the Section Social Sciences (SCS))

Open AccessArticle
13 Pages, 1,776 KB Download PDF
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))

Open AccessArticle
12 Pages, 4,617 KB Download PDF
A Bibliometric Analysis Review on Energy Optimization while Designing Wireless Sensor Networks

by Makwena Idah Masopoga, Mbuyu Sumbwanyambe, Zenghui Wang and Nthambeleni Reginald Netshikweta
Journal of Engineering Research and Sciences, Volume 3, Issue 11, Page # 81-92, 2024; DOI: 10.55708/js0311007
Abstract: Energy optimisation algorithms play an essential role in reducing energy usage. Hence, it is mandatory to identify current themes and predict future research study in energy optimisation algorithms (EOAs) in wireless sensor networks (WSNs). Several reviews have been conducted on energy optimisation algorithms (EOAs) in WSNs, although many focused on narrative reviews. This study focuses… Read More

(This article belongs to the Section Electrical Engineering (ELE))

Open AccessArticle
10 Pages, 2,967 KB Download PDF
Fuzzy-Based Approach for Classifying Road Traffic Conditions: A Case Study on the Padua-Venice Motorway

by Gizem Erdinc, Chiara Colombaroni and Gaetano Fusco
Journal of Engineering Research and Sciences, Volume 3, Issue 11, Page # 31-40, 2024; DOI: 10.55708/js0311003
Abstract: This study offers a fuzzy-based method for determining the variety of traffic conditions on roads. The fuzzy approach appears more appropriate than the deterministic technique for giving drivers qualitative information about the present traffic condition, as drivers have a shaky understanding of the traffic status. It was used in an analysis that included flow, occupancy, and… Read More

(This article belongs to the Special Issue on SP5 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2024) and the Section Transportation Science & Technology (TST))

Open AccessArticle
7 Pages, 1,803 KB Download PDF
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 SP5 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2024) and the Section Artificial Intelligence – Computer Science (AIC))

Open AccessArticle
8 Pages, 2,186 KB Download PDF
Conceptual Business Model Framework for AI-based Private 5G-IoT Networks

by Laurence Banda
Journal of Engineering Research and Sciences, Volume 3, Issue 10, Page # 13-20, 2024; DOI: 10.55708/js0310002
Abstract: The fusion of fifth generation (5G) networks, Internet of Things (IoT) and artificial intelligence (AI), referred to as intelligent connectivity by most industry experts, can be seen as a crucial success factor for sustainable digitalization. Until recently, research into these key triad technologies has been conducted in isolation. One of the promising applications of intelligent… Read More

(This article belongs to the Special Issue on SP5 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2024) and the Section Telecommunications (TEL))

Open AccessArticle
10 Pages, 1,729 KB Download PDF
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 SP5 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2024) and the Section Medical Informatics (MDI))

Open AccessArticle
12 Pages, 1,935 KB Download PDF
A Thorough Examination of the Importance of Machine Learning and Deep Learning Methodologies in the Realm of Cybersecurity: An Exhaustive Analysis

by Ramsha Khalid and Muhammad Naqi Raza
Journal of Engineering Research and Sciences, Volume 3, Issue 7, Page # 11-22, 2024; DOI: 10.55708/js0307002
Abstract: In today's digital age, individuals extensively engage with virtual environments hosting a plethora of public and private services alongside social platforms. As a consequence, safeguarding these environments from potential cyber threats such as data breaches and system disruptions becomes paramount. Cybersecurity encompasses a suite of technical, organizational, and managerial measures aimed at thwarting unauthorized access… Read More

(This article belongs to the Special Issue on SP5 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2024) and the Section Information Systems – Computer Science (ISC))

Open AccessArticle
15 Pages, 3,685 KB Download PDF
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))

Open AccessArticle
14 Pages, 3,329 KB Download PDF
Analyzing the Impact of Optical Wireless Communication Technologies on 5G/6G and IoT Solutions: Prospects, Developments, and Challenges

by Ramsha Khalid and Muhammad Naqi Raza
Journal of Engineering Research and Sciences, Volume 3, Issue 5, Page # 23-36, 2024; DOI: 10.55708/js0305003
Abstract: The imminent 5G and 6G communication systems are projected to exhibit substantial advancements in comparison to the current 4G communication system. Several critical and prevalent concerns pertaining to the service quality of 5G and 6G communication systems encompass elevated capacity, extensive connectivity, minimal latency, robust security measures, energy efficiency, superior quality of user experience, and… Read More

(This article belongs to the Special Issue on SP4 (Special Issue on Computing, Engineering and Sciences 2023-24) and the Section Telecommunications (TEL))

Open AccessArticle
12 Pages, 5,172 KB Download PDF
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))

Open AccessArticle
7 Pages, 1,058 KB Download PDF
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))

Open AccessArticle
9 Pages, 1,478 KB Download PDF
Four Rivers and a Reservoir – the Last Homes of the Wild Australian Lungfish

by Anne Kemp
Journal of Engineering Research and Sciences, Volume 3, Issue 1, Page # 11-19, 2024; DOI: 10.55708/js0301003
Abstract: The environment of the Australian lungfish, Neoceratodus forsteri, in south east Queensland, has changed fundamentally since white settlement, and this threatens the survival of the species. Some of the damage to lungfish habitats is the result of human determination to use water for the various needs of industry and people. Additional problems include droughts and… Read More

(This article belongs to the Section Agricultural Engineering (AGE))

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