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Keyword: LanguageEnhancing 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 Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 and the Section Software Engineering – Computer Science (SEC))
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 Special Issue on Multidisciplinary Sciences and Advanced Technology 2022 and the Section Automation and Control Systems (ACS))
Bengali Emotion Classification from Social Media Text Using Deep Learning and Transformer‑Based Models with Explainability
by Mujtahid Alam, Shuhena Salam Aonty, Sha Newaz Mahmud, Nahid Riaz Swachha and Ahmed Talal Wazih
Journal of Engineering Research and Sciences, Volume 5, Issue 6, Page # 39-55, 2026; DOI: 10.55708/js0506004
Abstract: Bengali emotion classification remains challenging due to limited annotated resources, informal social media language, and the lack of comprehensive evaluations of modern transformer architectures. This study presents a unified framework for six‑class Bengali emotion classification using a corpus of 5,401 manually annotated social media comments. We systematically compare recurrent neural networks, transformer‑based models, and hybrid… 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 Artificial Intelligence – Computer Science (AIC))
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 Special Issue on Multidisciplinary Sciences and Advanced Technology 2025 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 Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 and the Section Artificial Intelligence – Computer Science (AIC))
Browser-in-the-Browser (BitB) Attack: Case Study
by Khalid Alissa, Bushra Alhetela, Ghadeer Alazman, Asma Bader, Noor Alhomeed, Layan Almubarak and Fajer Almulla
Journal of Engineering Research and Sciences, Volume 3, Issue 5, Page # 14-22, 2024; DOI: 10.55708/js0305002
Abstract: Phishing attacks are becoming more sophisticated daily, taking advantage of victims' lack of awareness to steal sensitive information. The browser-in-the-browser (BitB) attack is a novel and sophisticated phishing technique that uses a single sign-on (SSO) popup window that mimics a legitimate browser login to steal a user's credentials. In addition, an attacker can customize the… Read More
(This article belongs to the Section Cybernetics – Computer Science (CYC))
Coding: First Steps from Kindergarten up to Primary School
by Elisa Benetti and Gianluca Mazzini
Journal of Engineering Research and Sciences, Volume 2, Issue 3, Page # 16-30, 2023; DOI: 10.55708/js0203002
Abstract: Computational thinking is now featured in many school curricula around the world. It is in fact defined as the "new English", emphasizing its universally recognized indispensability. Despite this, the subject is almost never addressed until primary school where, however, hours dedicated to it are often too limited. Our first training proposal, including basic coding concepts… Read More
(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences 2023-23 and the Section Education and Educational Research (EER))
Acceleration of Image Processing with SHA-3 (Keccak) Algorithm using FPGA
by Argyrios Sideris, Theodora Sanida, Dimitris Tsiktsiris and Minas Dasygenis
Journal of Engineering Research and Sciences, Volume 1, Issue 7, Page # 20-28, 2022; DOI: 10.55708/js0107004
Abstract: In our digital world, the transmission of images between people has played an essential part in every cedures to ensure the integrity and accuracy of the communicated data are required. Today, hashing is the most popular and secure way. This article focuses on the SHA-3 for hashing images dimensions 256 256 pixels with our custom… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2022 and the Section Telecommunications (TEL))
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))
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 Special Issue on Multidisciplinary Sciences and Advanced Technology 2022 and the Section Interdisciplinary Applications – Computer Science (IAC))
Text-Based Traffic Panels Detection using the Tiny YOLOv3 Algorithm
by Saba Kheirinejad, Noushin Riahi and Reza Azmi
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 68-80, 2022; DOI: 10.55708/js0103008
Abstract: Lately, traffic panel detection has been engrossed by academia and industry. This study proposes a new categorization method for traffic panels. The traffic panels are classified into three classes: symbol-based, text-based, and supplementary/additional traffic panels. Although few types of research have investigated text-based traffic panels, this type is considered in detail in this study. However,… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2022 and the Section Interdisciplinary Applications – Computer Science (IAC))