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Research ArticleOpen accessIn the keywordsNormative Data Obtained in Testing the Sense of Hearing in Kangal Shepherd DogsMustafa Koçkaya, Yusuf Özşensoy, Hakan MuratSense of hearing is of crucial importance for dogs to perform their duties. There is no study to determine the reference latency intervals of dogs' sense of hearing. The aim of this study is to identify normative data that can be used as the reference interval for the wave latencies I, III and V at 80 dB with respect to … …American Journal of Animal and Veterinary Sciences, Vol. 14, Issue 3 · 22 Aug 2019 · 7,350 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPERFORMANCE ANALYSIS OF ANTI-COLLISION ENABLED ROBOT USING HYBRID BEACON SCHEDULING APPROACHP. Prabakaran, M. SaravananIn multi-robot environment, when many robots are moving in the same workspace, there is a possibility of their physical collision with themselves as well as with physical objects. In this study, hybrid beacon scheduling protocol is proposed and for avoiding such collisions in robotic mobile environment with low latency and power consumption. The purpose of deploying this protocol is to … …American Journal of Applied Sciences, Vol. 11, Issue 5 · 6 Mar 2014 · 6,449 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEvaluating the Performance of Equitable Dominating based Content Distribution Network DesignAmutharaj Joyson, Radhakrishnan ShanmugasundaramProblem statement: In this study, we considered an efficient and resilient large file content push problem in a large scale distributed content delivery networks and investigated the Quality of Service (QoS) requirements for content distribution. We investigated the effect of equitable dominating set in SON formation and how it was useful in reducing the redundancy? Approach: At first, we constructed … …Journal of Computer Science, Vol. 7, Issue 8 · 16 Jul 2011 · 6,654 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIntegrating Buffer Management with Epidemic Routing in Delay Tolerant NetworksG. Fathima, R. S.D. WahidabanuProblem statement: The Design of Delay Tolerant Network (DTN) routing protocols has focused to operate in an environment where there is no guarantee of end to end path between source and destination at all points of time. The DTN research has focussed primarily on applications that are delay tolerant. But it can also be used to provide real time information … …Journal of Computer Science, Vol. 7, Issue 7 · 28 Jun 2011 · 7,080 accessesView PDFCite
Research ArticleOpen accessIn the keywordsStudy of Network on Chip resources allocation for QoS ManagementAbdelhamid HELALI, Adel SOUDANI, Jamila BHAR, Salem NASRIThe increasing complexity of integrated circuits and application requirements drive the research of new on-chip interconnection architectures. A network on chip draws on concepts inherited from distributed systems and computer networks subject areas to interconnect IP cores in a structured and scalable way. The main goal pursued is to achieve superior bandwidth when compared to conventional on-chip bus architectures. The … …Journal of Computer Science, Vol. 2, Issue 10 · 31 Oct 2006 · 6,307 accessesView PDFCite
Research ArticleOpen accessIn the abstractFL-CARE: Federated Learning-Based Contention-Aware and Energy-Balanced Routing for Dense FANETsHalimjon Khujamatov, Elyanora Jolimbetova et al.In dense multi-drone FANET environments, routing efficiency is often reduced due to constant competition for a wireless channel, frequent changes in network topology, and uneven energy consumption between UAV nodes. These factors lead to a decrease in the packet delivery ratio, an increase in delays on the busiest or most unstable routes, and a reduction in the total network lifespan. … …Journal of Computer Science, Vol. 22, Issue 8 · 13 Aug 2026 · 1,172 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Fraud Detection Methods in Banking Using Machine Learning TechniquesYoussef Tounsi, Ennouri TaziFraud detection in banking requires algorithms that balance classification performance, computational efficiency, and regulatory interpretability, criteria that are rarely benchmarked together. We present a comprehensive evaluation of nine machine learning approaches (Logistic Regression, Decision Tree, Random Forest, SVM, SGD, XGBoost, CatBoost, LightGBM, and MLP) across three datasets differing in size, imbalance severity, and feature type (synthetic, real-world PCA-anonymized, and large-scale … …Journal of Computer Science, Vol. 22, Issue 6 · 22 Jun 2026 · 1,341 accessesView PDFCite
Research ArticleOpen accessIn the abstractResource Pooling Coupled with Power Adaptation for the Management of Interferences between Cellular and D2D Communications in 5GDeussom Djomadji Eric Michel, Mengoumou Abessolo ArseneAs telecommunication networks are booming, we are witnessing an ever-increasing evolution of network generations. These evolutions are due both to the ever-higher demands of subscribers and services. Thus, the world we live in is moving towards a global interconnection of information systems and equipment, with an ever-increasing demand in terms of throughput, in terms of low latency, and reliability. This … …American Journal of Applied Sciences, Vol. 22, Issue 1 · 5 Mar 2025 · 8,575 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimizing Mobile Edge Computing Efficiency through Multidimensional Generative Adversarial NetworkAnitha Premkumar, Sowmya Vemagal Lakshminarayana, Shankar Rajagopal et al.Big data Processing and the IoT have recently gained popularity as study topics in MEC and thorough research is sought for well-informed decisions. Mobile edge equipment, such as base stations, routers, and edge servers, usually have limited processing capabilities compared to traditional data centers. According to this perspective, this research constructs MEC using Intelligent Outlier Detection with a Multidimensional Generative … …Journal of Computer Science, Vol. 21, Issue 2 · 18 Jan 2025 · 4,686 accessesView PDFCite
Research ArticleOpen accessIn the abstractBlockchain Integrated Distributed Threshold Elliptic Curve Cryptography Framework for Scalable and Secure Cloud Data StorageNaga Swetha Dhulipudi, Balaji SavadamThe development of cloud computing offers scalable processing capabilities, thereby enabling organizations to store and process sensitive data in the cloud. However, it faces crucial security challenges, as existing cryptographic and blockchain systems suffer from poor scalability and centralized key management, which creates a single point of failure and introduces vulnerabilities to both quantum and classical attacks. This research proposes … …Journal of Computer Science, Vol. 22, Issue 11 · 19 Oct 2026 · 395 accessesView PDFCite