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318 articles for “Traffic”
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Research ArticleOpen accessEvery word in the titleAnalysis of the Model Checkers' Input Languages for Modeling Traffic Light SystemsPathiah Abdul Samat, Abdullah Mohd Zin, Zarina ShukurProblem statement: Model checking is an automated verification technique that can be used for verifying properties of a system. A number of model checking systems have been developed over the last few years. However, there is no guideline that is available for selecting the most suitable model checker to be used to model a particular system. Approach: In this study, … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,890 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleExploration of the Nexus between Corruption and Implementation Failures in Anti-Trafficking Policies and Laws in South AfricaMorero MotsekiWe step into a workplace, having a lot of expectations to work cordially and reverently with each other. But sometimes in life, we come across different personalities who would impact negatively. The negativity can be understood based on frustration and stress because that will be passed out. But if it is periodical, rudeness, and bossiness towards the employees, this results … …Journal of Social Sciences, Vol. 18, Issue 1 · 23 Jun 2022 · 5,774 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Transformer Based Model to Detect Environmental Related Distress on Online Social MediaUtkarsh Sharma, Prateek Pandey, Shishir KumarOnline social media has been recently employed as the source of data for the detection of traffic-related activities and to control the flow of traffic in smart cities all over the world. Till now an ample amount of research work has been done in identification of traffic-related incidents with the help of online social media platforms (mostly Twitter). Along with … …Journal of Computer Science, Vol. 22, Issue 11 · 9 Oct 2026 · 475 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEnhancing 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 · 1,059 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Distillation GAN Model for Network Intrusion DetectionChandrakala C B, Sai Sreevall, Raghudathesh G PThis study presents a distillation-based Generative Adversarial Network (GAN) model designed for intrusion detection in network systems. A Teacher-Student architecture is proposed, in which a single teacher generator is utilized to train both the teacher discriminator and the student discriminator. The model was trained to identify anomalies present in network traffic intrusions by tuning the min-max loss function in GANs. … …Journal of Computer Science, Vol. 22, Issue 2 · 5 Mar 2026 · 1,560 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDistributed Vehicle Tracking System Using Image Processing TechniquesIehab Abdul Jabbar Kamil, Mohanad Abdulsalam Al-AskariIn this part of the research, an implementation of a distributed vehicle tracking system that uses image processing techniques for real-time automobile surveillance is done. The system uses OpenCV, Pytesseract and Optical Character Recognition (OCR) for the extraction of the license plate information from vehicle images to identify and track vehicles. By doing so, distributed computing enables the system to … …Journal of Computer Science, Vol. 21, Issue 8 · 9 Oct 2025 · 2,268 accessesView PDFCite
Review ArticleOpen accessIn the keywordsA Succinct Review on Identification of Network Anomalies and Protection in Cyber-Physical SystemsShalini Kumari, Chander Prabha, Prakash Srivastava et al.Advanced cyberattacks outperform traditional threat detection methods in the rapidly expanding cybersecurity field. Advanced Machine Learning (ML) algorithms can detect network traffic and system problems using AI-based Anomaly Detection (AD) for cybersecurity in real-time. Signature-based systems may overlook new and subtle threats. This paper examines Artificial Intelligence (AI) driven AD systems' design, methodology, and efficacy. The process includes data preprocessing … …Journal of Computer Science, Vol. 21, Issue 6 · 29 May 2025 · 5,247 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDDoS Attack Detection Using Enhanced Neural Network Algorithm in Software-Defined NetworksHema Surendrakumar Dhadhal, Paresh P KotakWith the uncommon advancement of technology and networking, the world today is totally relying on it. The most obvious drawback of this technical progress resulted in several possible dangers. A Distributed Denial of Service (DDoS) attack is one in which a large number of compromised systems work together to prevent service from being provided to the targeted system. Consequently, to … …Journal of Computer Science, Vol. 19, Issue 6 · 24 May 2023 · 5,727 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPerformance Evaluation and Improvement of Main Road Intersections in Al-Bayda City Using Sidra SoftwareWalid Ahmida, Abdullatif Mohamed, Ashraf Fadiel, Taher Abu-LebdehIntersections are one of the most crucial parts of urban transportation systems since they actively contribute to developing strategies to reduce traffic congestion. Congestion is one of the major issues that intersections face as a result of the growth in traffic, which cause lower service levels and longer waiting time. The main goal of this study was to evaluate the … …American Journal of Engineering and Applied Sciences, Vol. 16, Issue 1 · 10 Mar 2023 · 5,700 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTowards a Generic Multimodal Architecture for Batch and Streaming Big Data IntegrationSiham Yousfi, Maryem Rhanoui, Dalila ChiadmiBig Data are rapidly produced from various heterogeneous data sources. They are of different types (text, image, video or audio) and have different levels of reliability and completeness. One of the most interesting architectures that deal with the large amount of emerging data at high velocity is called the lambda architecture. In fact, it combines two different processing layers namely … …Journal of Computer Science, Vol. 15, Issue 1 · 31 Jan 2019 · 7,651 accessesView PDFCite