Computer Science
Browse by
Recent Submissions
-
Nature-Inspired Metaheuristic Algorithms: A Comprehensive Review
(Zarka Private University, 2024)Recently, the Metaheuristic Algorithms (MAs) field has seen a noteworthy rise in proposed Algorithms. MAs have been picking up ubiquity in a long time due to their capacity to fathom complex optimization issues in different ... -
Arithmetic optimization based secure intelligent clustering algorithm for Vehicular Adhoc Network
(Public Library of Science, 2024)Vehicular Adhoc Network (VANET) suffers from the loss of perilous data packets and disruption of links due to the fast movement of vehicles and dynamic network topology. Moreover, the reliability of the vehicular network ... -
EEBERT: An Emoji-Enhanced BERT fine-tuning on Amazon Product Reviews for Text Sentiment Classification
(Institute of Electrical and Electronics Engineers Inc., 2024)Understanding customer sentiment through product reviews is important for businesses aiming to enhance their products and services. Traditional sentiment analysis often struggles to detect the wide range of emotional ... -
Diving into the Future: Unravelling the Impact of Flowgorithm and Discord Fusion on Algorithm and Programming Courses and Fostering Computational Thinking
(Society for Research and Knowledge Management, 2024)Algorithm and programming have a close relationship, and this type of course can develop the computational thinking skills needed by students in the current digital era. Meanwhile, there are some challenges to teaching ... -
The role of blockchain to secure internet of medical things
(Nature Research, 2024)This study explores integrating blockchain technology into the Internet of Medical Things (IoMT) to address security and privacy challenges. Blockchain’s transparency, confidentiality, and decentralization offer significant ... -
Image-to-image translation based face photo de-meshing using GANs
(Academic Press Inc., 2024)Most of the existing face photo de-meshing methods have accomplished promising results; there are certain quality problems with these methods like the inpainted regions would appear blurry and unpleasant boundaries becoming ... -
Handwritten Recognition Techniques: A Comprehensive Review
(Multidisciplinary Digital Publishing Institute (MDPI), 2024)Given the prevalence of handwritten documents in human interactions, optical character recognition (OCR) for documents holds immense practical value. OCR is a field that empowers the translation of various document types ... -
IR-QLA: Machine learning-based Q-Learning Algorithm Optimization for UAVs Faster Trajectory Planning by Instructed-Reinforcement Learning
(Institute of Electrical and Electronics Engineers Inc., 2024)Trajectory planning for unmanned aerial vehicles (UAVs) presents a formidable challenge, particularly in environments where details about the terrain and objectives are not known beforehand. This uncertainty has propelled ... -
Enhancing privacy-preserving in vehicular cloud through an incentive-based strategy
(Institute of Advanced Engineering and Science, 2024)The literature has extensively explored vehicle ad hoc networks (VANETs) and vehicular clouds, with a common assumption in these studies being incorporating onboard units (OBUs) in vehicles. OBUs are used to collect and ... -
A novel two-stage method to detect non-technical losses in smart grids
(John Wiley and Sons Inc, 2024)Numerous strategies have been proposed for the detection and prevention of non-technical electricity losses due to fraudulent activities. Among these, machine learning algorithms and data-driven techniques have gained ... -
Enhancing patient healthcare with mobile edge computing and 5G: challenges and solutions for secure online health tools
(Springer Science and Business Media Deutschland GmbH, 2024-12)Patient-focused healthcare applications are important to patients because they offer a range of advantages that add value and improve the overall healthcare experience. The 5G networks, along with Mobile Edge Computing ... -
An Ingenious IoT Based Crop Prediction System Using ML and EL
(Tech Science Press, 2024)Traditional farming procedures are time-consuming and expensive as based on manual labor. Farmers have no proper knowledge to select which crop is suitable to grow according to the environmental factors and soil characteristics. ... -
Jordanian banknote data recognition: A CNN-based approach with attention mechanism
(King Saud bin Abdulaziz University, 2024-04)Identifying counterfeit banknotes is crucial in financial transactions, as the process of identification cannot be handled by ATMs or vending machines. The recent developments in technology, particularly the smart systems ... -
Securing synthetic faces: A GAN-blockchain approach to privacy-enhanced facial recognition
(King Saud bin Abdulaziz University, 2024-04)In recent years, facial recognition technology has become increasingly integrated into society, making privacy protection crucial. Previous techniques offered minimal secrecy safeguards through simple obscuration methods. ... -
Role of activity-based learning and ChatGPT on students' performance in education
(Elsevier B.V., 2024-06)Purpose: This study investigates the impact of activity-based learning and the utilization of ChatGPT on students' academic performance within the educational framework. Objectives: The study aims to assess the effectiveness ... -
Battery State-of-Health Estimation: A Step towards Battery Digital Twins
(Multidisciplinary Digital Publishing Institute (MDPI), 2024-02)For a lithium-ion (Li-ion) battery to operate safely and reliably, an accurate state of health (SOH) estimation is crucial. Data-driven models with manual feature extraction are commonly used for battery SOH estimation, ... -
Multiobjective and Coordinated Reconfiguration and Allocation of Photovoltaic Energy Resources in Distribution Networks Using Improved Clouded Leopard Optimization Algorithm
(Wiley-Hindawi, 2024)In this paper, a multiobjective framework for simultaneous reconfiguration and allocation of photovoltaic (PV) energy resources in radial distribution networks is performed for minimizing the power losses, lowering network ... -
Improving Robot-Assisted Virtual Teaching Using Transformers, GANs, and Computer Vision
(IGI Global, 2024-01-17)This study aims to enhance the efficacy of personalized learning paths by amalgamating transformer models, generative adversarial networks (GANs), and reinforcement learning techniques. To refine personalized learning ... -
Advanced series decomposition with a gated recurrent unit and graph convolutional neural network for non-stationary data patterns
(Springer Science and Business Media Deutschland GmbH, 2024-12)In this study, we present the EEG-GCN, a novel hybrid model for the prediction of time series data, adept at addressing the inherent challenges posed by the data's complex, non-linear, and periodic nature, as well as the ... -
A Comprehensive Study on the Role of Machine Learning in 5G Security: Challenges, Technologies, and Solutions
(Multidisciplinary Digital Publishing Institute (MDPI), 2023-11)Fifth-generation (5G) mobile networks have already marked their presence globally, revolutionizing entertainment, business, healthcare, and other domains. While this leap forward brings numerous advantages in speed and ...