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87 articles for “enhancing network”
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Research ArticleOpen accessPhrase in the titleEnhancing Network Security through Accurate Asset Discovery Using Lightweight Agent-Based ApproachIshu Sharma, Ahthasham Sajid et al.Any organization's network administrators and security professionals must have an accurate and real state of assets connected to the network to devise different policies for securing critical resources by identifying vulnerabilities. Asset discovery is a challenging and critical task in vulnerability assessment. The vulnerability of the organization’s network can be correctly analysed only with the accurate prediction of connected devices. … …Journal of Computer Science, Vol. 22, Issue 4 · 28 Mar 2026 · 1,940 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDevelopment of a Cultural Network for Enhancing the Healthy CitiesNawiya Nuntapanich, Songkoon Chantachan, Pirat Thidpad, Rachanont SupapongpichateProblem statement: The implementation in developing the cultural network was a strategy for managing the culture as well as the implementing the healthy city. The objectives of this research were: (1) to study situation of peaceful city and community in overall of Middle West, (2) to analyze the potentiality and readiness in implementing the healthy city and (3) to develop … …Journal of Social Sciences, Vol. 7, Issue 4 · 25 Oct 2011 · 7,793 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEnhancing E-Banking Security and Personalization through Convolutional Neural Network-Based Facial RecognitionRamy Kamal Amin, Ghada A. El Khayat, Farid El Sahn, Abeer A. AmerFacial recognition technology has become a cornerstone in enhancing the security and user experience of electronic banking services. Its ability to provide a seamless yet secure authentication method is vital in combating fraud and maintaining the integrity of online financial transactions. This study presents the development of an advanced electronic banking system that strengthens security through the integration of a … …Journal of Computer Science, Vol. 21, Issue 10 · 7 Dec 2025 · 3,310 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEnhancing Kidney Stone Detection Accuracy Using Image Processing and a Hybrid Convolutional Deep Belief NetworkGeetha M. N, Barkathulla A, S. Nandhini Devi et al.Automated CKD is a rapidly expanding non-communicable ailment that significantly contributes to global mortality and morbidity. CKD impacts more than 10% of the worldwide population, leading to millions of deaths annually. This paper proposes an enhanced deep learning model for renal disease detection that integrates convolutional and involution layers to enhance classification accuracy. CKD is a worldwide health issue characterised … …Journal of Computer Science, Vol. 22, Issue 10 · 9 Oct 2026 · 749 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEnhancing SQL Injection Detection: A Machine Learning Approach Using Network Flow DataP. Vinoth, K. Muthamil Sudar, S. MuthukumarBackground: SQL injection is one of the cyberattacks which occurs in web application vulnerabilities. It targets the poor input validation and enables the attackers to inject malicious queries into the database fields in any application. It will grant access to unauthorized users and data modification, or they will take control over the complete database. To prevent this, there are several … …Journal of Computer Science, Vol. 22, Issue 8 · 18 Aug 2026 · 1,051 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEnhancing Telecommunication Network Management with Autonomous Optimization Agents and Machine LearningDanny Adil Sibarani, Evaristus Didik MadyatmadjaThis study explores the integration of Machine Learning (ML) and Autonomous Optimization Agents (AOAs) in the management and optimization of Radio Access Networks (RAN). The research addresses the growing challenges posed by the need for skilled network experts capable of managing and analyzing large-scale network data, including Key Performance Indicators (KPIs) and thousands of network configuration parameters. To overcome these … …Journal of Computer Science, Vol. 21, Issue 2 · 4 Mar 2025 · 7,041 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEnhancing Electric Vehicle Charging Demand Prediction Using a Novel SAE-DNN Neural Network Model for Probabilistic ForecastingNaga Raju Hari Manikyam, A. Thangam, J. Murugachandravel et al.The rapid growth and widespread adoption of Electric Vehicles (EVs) play a crucial role in the progress of intelligent transportation systems, resulting in a significant decrease in environmentally damaging greenhouse gas emissions. The increase in EV usage has made it crucial to develop charging infrastructure to keep up with the growing demand. Precisely predicting EV charging demand is crucial to … …Journal of Computer Science, Vol. 21, Issue 10 · 11 Dec 2025 · 3,536 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEarly Plant Disease Detection Using Graph Isomorphic Networks: Enhancing Crop Yield Through Leaf AnalysisD. Sumathi, Sreejyothsna Ankam, Pravin Prakash Adivarekar et al.The economy of Tanzania is mostly driven by agriculture. Disease is one of the reasons that contributes to the low production of staple foods like cassava and maize, alongside climate change. Loss of income and food security are the results. In order to detect the diseases early, preventative measures are required. A potential option for farmers could be the use … …Journal of Computer Science, Vol. 21, Issue 9 · 15 Oct 2025 · 3,101 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Multi-Split Cross-Strategy for Enhancing Machine Learning Algorithms Prediction Results with Data Generated by Conditional Generative Adversarial NetworkAbdelfattah Abassi, Brahim Bakkas et al.In this study, we present a Multi-Split Cross-Strategy (MSC-Strategy) designed to leverage synthetic tabular data generated by a Conditional Generative Adversarial Network (CGAN). Our study aims to investigate the potential of synthetic data in comparison to real-world data for improving machine learning predictive results. Firstly, we develop a CGAN architecture tailored to generate synthetic tabular data, trained on a comprehensive … …Journal of Computer Science, Vol. 20, Issue 7 · 9 Apr 2024 · 6,695 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEnhancing Quality of Service of Video Streaming Applications Over Vehicular Ad-Hoc NetworksPooja Sharma, Ajay KaulVehicular ad-hoc networks play quite an important role in communication as it is challenging to have communication across VANET nodes because of high mobility. Video streaming applications over ad-hoc networks are quite difficult because of more mobility of VANET nodes. There are various existing techniques to optimize or improve the video dissemination over ad-hoc networks. Video streaming applications need a … …Journal of Computer Science, Vol. 21, Issue 7 · 30 Jun 2025 · 3,387 accessesView PDFCite