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158 results for “traffic system”
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Research ArticleOpen accessIn the abstractRF-CNNS: Thin Deep Learning Networks For Accelerating Traffic Signs RecognitionBtissam Bousarhane, Driss BouzidiRoad scene analysis is a wide domain of research that aims to ameliorate the environmental perception in intelligent transportation systems, including autonomous vehicles and advanced driver-assistance systems. It also plays a crucial role in road safety improvement, by contributing to the reduction of traffic accidents' rate. Ensuring an efficient recognition of traffic signs contributes enormously to making cars safer, which … …Journal of Computer Science, Vol. 19, Issue 10 · 18 Sep 2023 · 5,335 accessesView PDFCite
Research ArticleOpen accessIn the abstractDDoS 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 · 5,721 accessesView PDFCite
Research ArticleOpen accessIn the abstractSmart Ambulances for IoT Based Accident Detection, Tracking and ResponseAmreen Ayesha, Komalavalli ChakravarthiOne of the main reasons for death among young people in the current era is based on road accidents. The goal of current research on accident detection systems is to shorten reporting times, increase accident detection accuracy and address them through our modern technology. Our primary goal is to recommend a system that can successfully aid in preventing any kind … …Journal of Computer Science, Vol. 19, Issue 6 · 12 May 2023 · 6,323 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance 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 · 5,695 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Regularization Mechanism for Combating Class Imbalance Problem in Intrusion Detection System for Defending DDoS Attack in SDNNarender M, Yuvaraju B NIntegration of deep learning into Intrusion Detection Systems (IDS) for Software Defined Networking (SDN) is an emerging field of research. Most of the datasets used to build IDS are highly imbalanced, especially in the case of DDoS attacks, which account for a larger percentage of malicious samples than normal traffic. As a result of a class imbalance, the classification result … …Journal of Computer Science, Vol. 19, Issue 3 · 24 Feb 2023 · 5,659 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Grey Wolf Optimizer and Deep Transfer Learning-Based Intrusion Detection System for IoTKapil Shrivastava, Manish Tiwari, Prasun ChakrabartiThe rapid proliferation of Internet of Things (IoT) devices has driven significant advancements in connectivity and automation, but it has also introduced substantial cybersecurity risks, including intrusions and cyberattacks. To address these challenges, this study proposes a hybrid intrusion detection framework that combines advanced optimization techniques with ensemble deep learning to enhance detection accuracy and computational efficiency. The proposed framework … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 1,506 accessesView PDFCite
Research ArticleOpen accessIn the abstractBlockchain-Enabled Decisive Red Fox Optimizer-Based Feature Selection With Deep Learning-Based Intrusion Detection SystemC. Ananth, S. Sathiyarani, N. MohananthiniRecently, Intrusion Detection Systems (IDS) using Deep Learning (DL) models become useful in accomplishing network security. The selected features serve as input to the DL model, which is trained on labelled datasets to learn intrinsic patterns distinguishing malicious from normal network behaviour. DL techniques like Convolutional Neural Networks (CNN) are usually utilized. The seamless combination of Public Blockchain (BC) technology … …Journal of Computer Science, Vol. 21, Issue 12 · 20 Jan 2026 · 1,714 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpatial Analysis of Accessibility for Public Transportation, A Case Study in Jakarta, Bus Rapid Transit System (Transjakarta), IndonesiaApri Zulmi Hardi, AbdulKader Ali MuradIntegrating public transportation has become a prevalent aspect of urban expansion in developed and developing countries. There are numerous benefits associated with implementing public transportation systems within urban areas, which may serve as a viable solution to address various traffic-related issues. Nevertheless, certain nations that have adopted public transportation encounter accessibility issues affecting the efficiency of such services. The authors … …Journal of Computer Science, Vol. 19, Issue 10 · 31 Aug 2023 · 8,096 accessesView PDFCite
Research ArticleOpen accessIn the abstractRoute Optimization using Hybrid GRU Learning Model for SDN and Edge-Based VANET TopologySavitha Kumar, Chandrasekar ChinnasamyIntelligent Transportation System (ITS) offersoutstanding features, including security applications and emergency alerts.Unfortunately, ITS limits traffic control services, adaptability, andadjustability due to the traffic volume. Hence, expanding the standard VehicularAd hoc Networks (VANET) framework is a requirement. As a result, in the latestdays, the concept of Software-Defined Networking based Vehicular Ad hocNetworks (SDN-VANETs) has drawn considerable attention, creating VANETssmarter. The SDN-VANETs … …Journal of Computer Science, Vol. 18, Issue 8 · 26 Aug 2022 · 6,160 accessesView PDFCite
Research ArticleOpen accessIn the abstractBased Approach to Improve the All-Pair Shortest Path ComputationLau Nguyen Dinh, Le Thanh TuanThis paper presents the development of a centralized algorithm for finding the shortest path between all pairs of vertices on a graph, utilizing the basic structure of the Floyd-Warshall sequential algorithm. The proposed algorithm leverages multiple processors to compute the shortest path between all vertex pairs, with one processor taking the central role in data management. This central processor divides … …Journal of Computer Science, Vol. 21, Issue 7 · 30 Jun 2025 · 2,903 accessesView PDFCite