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Keyword: NetworkEnhancing 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))
A Comparative Analysis of Interior Gateway Protocols in Large-Scale Enterprise Topologies
by Saleh Hussein Al-Awami, Emad Awadh Ben Srity and Ali Tahir Abu Raas
Journal of Engineering Research and Sciences, Volume 3, Issue 11, Page # 60-73, 2024; DOI: 10.55708/js0311005
Abstract: Interior gateway protocols (IGPs) have gained popularity in networking technologies due to their capacity to enable standardized and flexible communication among these algorithms. In autonomous systems (AS), network devices communicate with one another via IGPs. This work presents a fresh investigation into the performance of inner gateway protocols in large-scale enterprise topologies. Also, the experiment… Read More
(This article belongs to the Special Issue on SP5 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2024) and the Section Electrical Engineering (ELE))
Navigating the Autonomous Era: A Detailed Survey of Driverless Cars
by Vaibhavi Tiwari
Journal of Engineering Research and Sciences, Volume 3, Issue 10, Page # 21-36, 2024; DOI: 10.55708/js0310003
Abstract: The incorporation of cutting-edge technologies like sensor networks, artificial intelligence (AI), and vehicle-to everything (V2X) communication has hastened the rollout of autonomous vehicles (AVs), offering significant possibilities for the future of transportation. This document offers an extensive overview of AV technology, covering essential elements such as technological infrastructure, degrees of automation, cybersecurity threats, societal impacts,… 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))
Improving Distribution Power System Efficiency using Power Loss Reduction by Installing the Distributed Generations
by Usman Asghar, Syed Zulqadar Hassan, Muhammad Ahmed, Arsalan Masood, Muhammad Naqi Raza and Tariq Kamal
Journal of Engineering Research and Sciences, Volume 3, Issue 9, Page # 1-15, 2024; DOI: 10.55708/js0309001
Abstract: The current scenario of Pakistan's power sector stipulates the financial and technical viability of the utility companies to meet the escalating demands for electricity. Financial resources are required for the generation of electricity; which Pakistan cannot afford in the present situation. Pakistan have a huge potential for renewable energy resources; different areas across the country… Read More
(This article belongs to the Section Electrical Engineering (ELE))
MCNN+: Gemstone Image Classification Algorithm with Deep Multi-feature Fusion CNNs
by Haoyuan Huang and Rongcheng Cui
Journal of Engineering Research and Sciences, Volume 3, Issue 8, Page # 15-20, 2024; DOI: 10.55708/js0308002
Abstract: Accurate gemstone classification is critical to the gemstone and jewelry industry, and the good performance of convolutional neural networks in image processing has received wide attention in recent years. In order to better extract image content information and improve image classification accuracy, a CNNs gemstone image classification algorithm based on deep multi-feature fusion is proposed.… 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))
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 SP5 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2024) and the Section Artificial Intelligence – Computer Science (AIC))
SimulatorBridger: System for Monitoring Energy Efficiency of Electric Vehicles in Real-World Traffic Simulations
by Reham Almutairi, Giacomo Berg and Graham Morgan
Journal of Engineering Research and Sciences, Volume 3, Issue 6, Page # 33-40, 2024; DOI: 10.55708/js0306004
Abstract: The increasing popularity and attention in Vehicular Ad-hoc Networks (VANETs) have prompted researchers to develop accurate and realistic simulation tools. Realistic simulation for VANETs is challenging due to the high mobility of vehicles and the need to integrate various communication modalities such as Vehicle-to-Infrastructure (V2I) and Vehicle-to-Vehicle (V2V) interactions. Existing simulators lack the capability to… 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))
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 SP4 (Special Issue on Computing, Engineering and Sciences 2023-24) and the Section Electrical Engineering (ELE))
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))
Device Authentication using Homomorphic Encryption
by Supriya Yadav and Gareth Howells
Journal of Engineering Research and Sciences, Volume 2, Issue 10, Page # 1-8, 2023; DOI: 10.55708/js0210001
Abstract: In the digital era, data security in files, databases, accounts, and networks is of utmost importance. Due to the sensitive, private, or protected information they contain, databases are a common target for cyber attacks. To assess threats to data and lower the risk involved with data processing and storage, data security is crucial. Therefore, it… Read More
(This article belongs to the Special Issue on SP3 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2023) and the Section Software Engineering – Computer Science (SEC))
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 SP3 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2023) and the Section Artificial Intelligence – Computer Science (AIC))
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))
Real-Time Acquisition and Classification of Electrocardiogram Signal
by Sheikh Md. Rabiul Islam, Akram Hossain and Asif Abdullah
Journal of Engineering Research and Sciences, Volume 1, Issue 11, Page # 8-15, 2022; DOI: 10.55708/js0111002
Abstract: Cardiovascular disease (CVD) is the leading cause of death. The transition in cardiovascular disease threatens the economies of the less developed world. An electrocardiogram (ECG) machine is a device that checks the patient's heart rhythm and electrical activity. ECG signals give crucial information about the heart and numerous cardiac problems, such as coronary artery disease,… Read More
(This article belongs to the Section Biomedical Engineering (BIE))
The Current Trends of Deep Learning in Autonomous Vehicles: A Review
by Raymond Ning Huang, Jing Ren and Hossam A. Gabbar
Journal of Engineering Research and Sciences, Volume 1, Issue 10, Page # 56-68, 2022; DOI: 10.55708/js0110008
Abstract: Autonomous vehicles are the future of road traffic. In addition to improving safety and efficiency from reduced errors compared to conventional vehicles, autonomous vehicles can also be implemented in applications that may be inconvenient or dangerous to a human driver. To realize this vision, seven essential technologies need to be evolved and refined including path… 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))
An Approach for PAPR Reduction in OFDM System using RCF Technique
by Juhi Singh
Journal of Engineering Research and Sciences, Volume 1, Issue 10, Page # 13-18, 2022; DOI: 10.55708/js0110003
Abstract: OFDM is one of the important modulation techniques for wireless communication which is the advanced version of FDM. Now-a-days congestion networking is growing like AI, IoT, 5G etc. so there is a need of high data rate with low BER. For such a network there is requirement of high-speed secured data transmission that is multicarrier… Read More
(This article belongs to the Section Electronic Engineering (EEE))
CANClassify: Automated Decoding and Labeling of CAN Bus Signals
by Paul Ngo, Jonathan Sprinkle and Rahul Bhadani
Journal of Engineering Research and Sciences, Volume 1, Issue 10, Page # 5-12, 2022; DOI: 10.55708/js0110002
Abstract: Controller Area Network (CAN) bus data is used on most vehicles today to report and communicate sensor data. However, this data is generally encoded and is not directly interpretable by simply viewing the raw data on the bus. However, it is possible to decode CAN bus data and reverse engineer the encodings by leveraging knowledge… 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))
Advanced Medical Telemonitoring for the Suspected Cases of Covid-19 Virus
by Mohamed Touil, Lhoussain Bahatti and Abdelmounime El Magri
Journal of Engineering Research and Sciences, Volume 1, Issue 7, Page # 38-43, 2022; DOI: 10.55708/js0107006
Abstract: Nowadays Corona Virus is threatening everyone, everywhere because it extremely dangerous. For many reasons; the first one it is a contagious virus, the second reason is there is no definite vaccination for that, because even some vaccinated people against Covid were affected. in the same regard this paper will present a telemedicine solution against Covid-19.… Read More
(This article belongs to the Section Health Care Sciences and Services (HCS))
Histogram Based Visible Image Encryption for Real Time Applications
by Kiran, Sunil Kumar D S, Bharath K N, Harshitha Rohith, Sharath Kumar A J and Ganesh Kumar M T
Journal of Engineering Research and Sciences, Volume 1, Issue 7, Page # 1-6, 2022; DOI: 10.55708/js0107001
Abstract: Like most patient information, medical imaging data is subject to strict data protection and confidentiality requirements. This raises the issue of sending the data which contains a medical image on an open network as per the above issue, also there might be a leakage of information. Encrypting an Image and hiding the information in it… Read More
(This article belongs to the Section Cybernetics – Computer Science (CYC))
VSC-HVDC Robust LMI Optimization Approaches to Improve Small-Signal and Transient Stability of Highly Interconnected AC grids
by Yankai Xing, Elkhatib Kamal, Bogdan Marinescu and Florent Xavier
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 251-263, 2022; DOI: 10.55708/js0105026
Abstract: In this paper, for the situation of HVDC inserted in meshed AC power grid, a model-matching robust H∞ static output error feedback controller (RSOFC) and model-matching dynamic decoupled output feedback controller (DDOFC) are proposed to improve the damping of inter-area oscillation modes and maintain robustness to face the effects of different operating points and unstable… Read More
(This article belongs to the Section Automation and Control Systems (ACS))
An Analysis of SiC Power Electronics Implementation in Green Energy Based Extremely Fast Charging
by Naireeta Deb and Rajendra Singh
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 231-242, 2022; DOI: 10.55708/js0105024
Abstract: Existing extremely fast charging (XFC) of electrical vehicles (EVs) is based on silicon power electronics and internal conversion of AC power into DC power. In this paper it has been shown that silicon carbide power electronics and the use of DC power source in the design of XFC of EVs has many distinct advantages over… Read More
(This article belongs to the Special Issue on SP1 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2022))
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))
Call Admission Control for Real-Time Applications of TVWS Wireless Access from HAP
by Habib M. Hussien, Sultan F. Meko, Konstantinos Katzis, Luzango P. Mfupe and Ephrem T. Bekele
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 98-105, 2022; DOI: 10.55708/js0103010
Abstract: The rapid change in link capacity and user count induced by platform mobility in communication systems based on high altitude platform stations (HAPS) exploiting TV White Space (TVWS) spectrum may result in a high rate of handover failure and reduced resource utilization. In addition, in High Altitude Platform (HAP) wireless networks exploiting TV White Space… Read More
(This article belongs to the Section Electronic Engineering (EEE))
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 SP1 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2022) and the Section Interdisciplinary Applications – Computer Science (IAC))
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))
Bridging the Urban-Rural Broadband Connectivity Gap using 5G Enabled HAPs Communication Exploiting TVWS Spectrum
by Habib M. Hussien, Konstantinos Katzis, Luzango P. Mfupe and Ephrem T. Bekele
Journal of Engineering Research and Sciences, Volume 1, Issue 2, Page # 24-32, 2022; DOI: 10.55708/js0102003
Abstract: As with previous generations of mobile cellular networks, rural regions are projected to face financial and technological challenges in deploying 5G services. At the time, researchers all around the world are investigating the feasibility of utilizing TV White Spaces (TVWS). TVWS is an underutilized/unused section of television spectrum that might be used as a low-cost… Read More
(This article belongs to the Special Issue on SP1 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2022) and the Section Telecommunications (TEL))