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Keyword: IADemographic 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 Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2025) and the Section Artificial Intelligence – Computer Science (AIC))
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 Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2025) and the Section Education and Educational Research (EER))
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 Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2025) and the Section Information Systems – Computer Science (ISC))
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))
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))
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 (SI-MSAT 2024) and the Section Robotics (ROB))
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 Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2024) and the Section Medical Informatics (MDI))
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 (SI-MSAT 2024) and the Section Medical Informatics (MDI))
A Case Study on Formal Sequential Equivalence Checking based Hierarchical Flow Setup towards Faster Convergence of Complex SOC Designs
by Anantharaj Thalaimalai Vanaraj and Reshi Razdan
Journal of Engineering Research and Sciences, Volume 3, Issue 8, Page # 21-27, 2024; DOI: 10.55708/js0308003
Abstract: Functional Verification Sign-Off is the crux of the design verification problem faced by latest Silicon Designs on the Simulation/Stimulus Driven and the Formal Verification Platforms. Formal Verification Convergence is a custom specific criterion depending on the success, failure, exhaustiveness and reachability of the verification goals generated and validated by the Formal Tool. One of the… Read More
(This article belongs to the Section Hardware and Architecture – Computer Science (HAC))
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 (SI-MSAT 2024) and the Section Artificial Intelligence – Computer Science (AIC))
Using Artificial Intelligence Models to Predict the Wind Power to be fed into the Grid
by Sambalaye Diop, Papa Silly Traore, Mamadou Lamine Ndiaye and Issa Zerbo
Journal of Engineering Research and Sciences, Volume 3, Issue 6, Page # 1-9, 2024; DOI: 10.55708/js0306001
Abstract: The Taïba Ndiaye wind farm, connected to the SENELEC grid, plays a key role in offsetting shortfalls in electricity consumption, with an installed capacity of 158.7 MW. Moreover, as an intermittent power station, its production is highly dependent on the environmental conditions in the region. Bad weather can disrupt the electricity network, requiring forecasting methods… Read More
(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences (SI-CES 2023-24) and the Section Electrical Engineering (ELE))
Mathematical Model of Optimum Management of the Customs Control Process and Expert System for Ensuring Data Reliability
by Ilkhom Mukhtorov, Takhir Abduraxmonov and Abdusobir Saidov
Journal of Engineering Research and Sciences, Volume 3, Issue 5, Page # 1-13, 2024; DOI: 10.55708/js0305001
Abstract: The article considers the issue of modeling the multi-step process of customs clearance of goods in foreign trade. A mathematical model of control of the process under consideration has been developed. A brief review of existing methods for solving the linear programming problem with variable coefficients of the target function is given. The essence of… Read More
(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences (SI-CES 2023-24) and the Section Information Systems – Computer Science (ISC))
Jaw and Tongue Muscles in the Australian Lungfish, <i>Neoceratodus forsteri </i> (Osteichthyes: Dipnoi)
by Anne Kemp
Journal of Engineering Research and Sciences, Volume 3, Issue 2, Page # 15-21, 2024; DOI: 10.55708/js0302003
Abstract: The Australian lungfish, Neoceratodus forsteri, has several muscles associated with feeding. The massive adductor mandibularis muscle of N. forsteri, which closes the jaws, originates on the chondrocranium and inserts on the posterior aspect of Meckel’s cartilage in the mandible. The depressor mandibulae muscle, which opens the jaws, inserts on the medial articulation of the prearticular… Read More
(This article belongs to the Section Agriculture Dairy and Animal Science (ADA))
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))
Isolation and Characterization of the Bioplastic Producing Bacteria Using Low-Cost Substrate, Sawdust
by Anam Javaid, Sumaira Aslam, Hira Qaisar, Farhat Batool, Rimsha Javed and Muhammad Waqas Qaisar
Journal of Engineering Research and Sciences, Volume 2, Issue 12, Page # 7-14, 2023; DOI: 10.55708/js0212002
Abstract: Plastics are routinely used in the packaging of materials as well as in industrial production. However, once in the environment, they are non-biodegradable, posing severe threats to the ecosystems. Bioplastic replaces conventional plastic, which is biodegradable due to its biological origin and does not affect environment. Sawdust is a very important agro-waste screened as a… Read More
(This article belongs to the Section Biotechnology and Applied Microbiology (BAM))
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))
A Swarm-Based Clinical Validation Framework of Artificial Intelligence Solutions for Non-Communicable Diseases
by Kitty Kioskli, Spyridon Papastergiou and Theofanis Fotis
Journal of Engineering Research and Sciences, Volume 2, Issue 9, Page # 1-11, 2023; DOI: 10.55708/js0209001
Abstract: Non-communicable diseases (NCDs) present complex challenges in patient care. Artificial Intelligence (AI) offers transformative potential, but its implementation requires addressing key issues. This study proposes a swarm intelligence-inspired clinical validation framework for NCDs, promoting openness, trustworthiness, and continuous self-validation. The framework creates a collaborative environment, connecting healthcare entities, patients, caregivers, and professionals. The swarm-based approach… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2023) and the Section Medical Informatics (MDI))
Imputation and Hyperparameter Optimization in Cancer Diagnosis
by Yi Liu, Wendy Wang and Haibo Wang
Journal of Engineering Research and Sciences, Volume 2, Issue 8, Page # 1-18, 2023; DOI: 10.55708/js0208001
Abstract: Cancer is one of the leading causes for death worldwide. Accurate and timely detection of cancer can save lives. As more machine learning algorithms and approaches have been applied in cancer diagnosis, there has been a need to analyze their performance. This study has compared the detection accuracy and speed of nineteen machine learning algorithms… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2023) and the Section Medical Informatics (MDI))
NNR Artificial Intelligence Model in Azure for Bearing Prediction and Analysis
by Henry Ogbemudia Omoregbee, Mabel Usunobun Olanipekun and Bright Aghogho Edward
Journal of Engineering Research and Sciences, Volume 2, Issue 6, Page # 1-9, 2023; DOI: 10.55708/js0206001
Abstract: Neural Network regression (NNR) is considered more effective as compared to multiple neural networks model readily available in Azure to evaluate the Remaining Useful Life (RUL) of bearing in this work because it performs better than other models when used and was demonstrated as a non-programing technique for analyzing enormous data without the use of… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2023) and the Section Artificial Intelligence – Computer Science (AIC))
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 Special Issue on Computing, Engineering and Sciences (SI-CES 2022-23) and the Section Mathematics (MAT))
Classification of Rethinking Hyperspectral Images using 2D and 3D CNN with Channel and Spatial Attention: A Review
by Muhammad Ahsan Aslam, Muhammad Tariq Ali, Sunwan Nawaz, Saima Shahzadi and Muhammad Ali Fazal
Journal of Engineering Research and Sciences, Volume 2, Issue 4, Page # 22-32, 2023; DOI: 10.55708/js0204003
Abstract: It has been demonstrated that 3D Convolutional Neural Networks (CNN) are an effective technique for classifying hyperspectral images (HSI). Conventional 3D CNNs produce too many parameters to extract the spectral-spatial properties of HSIs. A channel service module and a spatial service module are utilized to optimize characteristic maps and enhance sorting performance in order to… Read More
(This article belongs to the Section Artificial Intelligence – Computer Science (AIC))
Stakeholder’s Perception of Critical Success Factors for Design-Bid-Build Highway Projects in Nigeria
by Fabi Jonathan Kehinde and Akinseinde Olubola Atanda
Journal of Engineering Research and Sciences, Volume 1, Issue 12, Page # 28-37, 2022; DOI: 10.55708/js0112005
Abstract: Project success factors are germane in achieving project objectives by stakeholders. The research investigates the stakeholder’s perception of project success factors for highway project in Nigeria. Therefore, the specific objectives is to identify and assess factor influencing the success of highway project in Nigeria. To achieve the main objective of this paper, two hundred (200)… Read More
(This article belongs to the Section Construction and Building Technology (CBT))
Fractal Research to the Production of High-strength Materials
by Seoryeong Choi and Eunsung Jekal
Journal of Engineering Research and Sciences, Volume 1, Issue 10, Page # 36-44, 2022; DOI: 10.55708/js0110006
Abstract: SiC ceramics are excellent materials applied at high temperatures because of their lightweight, excellent high-temperature strength, and high thermal shock resistance. For better engineering properties, we made SiC with fractal lattices. Stress-strain behavior and modulus changes from room temperature to 1,250 oC were analyzed using LAMMPS S/W, a molecular dynamics program. As a result of… Read More
(This article belongs to the Section Applied Physics (APY))
Assessment of Village-wise Soil Nutrients and their Effect on Sugarcane Productivity in Western Maharashtra, India
by Chhaya Narvekar and Madhuri Rao
Journal of Engineering Research and Sciences, Volume 1, Issue 10, Page # 19-25, 2022; DOI: 10.55708/js0110004
Abstract: Soil fertility needs to be assessed to develop strategies for long-term agricultural productivity. A study has been undertaken at Shirol tehsil, Kolhapur district, Maharashtra state, India to evaluate the fertility status of soil using nutrient index approach. For the present study PH, organic carbon, and EC were chosen as potential markers of soil quality along… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2022) and the Section Agriculture Multidisciplinary (AGM))
Reservations - as a Step of Social Democracy: Review of Dr. Ambedkar’s Principles
by Mange Karan Ratanbhai
Journal of Engineering Research and Sciences, Volume 1, Issue 10, Page # 1-4, 2022; DOI: 10.55708/js0110001
Abstract: The paper aims to highlight the key frameworks of Dr. B.R. Ambedkar, his thoughts, philosophies, and goals behind the framing of the Indian constitution. Based on different theories and philosophies, the concept of the reservation system adopted by the Indian Constitution, and its relevance in today’s scenario is being portrayed. Dr. Ambedkar’s idea of a… Read More
(This article belongs to the Section Law (LAW))