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Titlebook: Advanced Network Technologies and Intelligent Computing; Third International Anshul Verma,Pradeepika Verma,Isaac Woungang Conference proce

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發(fā)表于 2025-3-21 18:11:29 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advanced Network Technologies and Intelligent Computing
期刊簡(jiǎn)稱Third International
影響因子2023Anshul Verma,Pradeepika Verma,Isaac Woungang
視頻videohttp://file.papertrans.cn/168/167174/167174.mp4
學(xué)科分類Communications in Computer and Information Science
圖書封面Titlebook: Advanced Network Technologies and Intelligent Computing; Third International  Anshul Verma,Pradeepika Verma,Isaac Woungang Conference proce
影響因子.The 4-volume proceedings set CCIS 2090, 2091,2092 and 2093 constitute the refereed post-conference proceedings of the Third International Conference on Advanced Network Technologies and Intelligent Computing, ANTIC 2023, held in Varanasi, India, during December 20-22, 2023...The 87 full papers and 11 short papers included in this book were carefully reviewed and selected from 487 submissions. The conference papers are organized in topical sections on:?..Part I - Advanced Network Technologies...Part II - Advanced Network Technologies; Intelligent Computing...Part III - IV - Intelligent Computing..
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Performance Comparison of?QoS Aware Power Allocation and?Optimization Techniques for?the?Small-Cell age and capacity. However, the presence of co-channel cells may result in interference among the user stations and degrade the overall system capacity. Hence, resource optimization techniques are required in these scenarios to improve the system capacity and user quality. In this study, the power al
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Reduced Competitive Ratio of?Sparse Semi-oblivious Routing Using Social Spider Algorithmapproach to tackle this is semi-oblivious routing, which incorporates adaptability to suit dynamic traffic demands with predefined paths. In comparison to other routing methodologies, semi-oblivious routing strategies display superior performance and robustness in practice..Introducing a fresh appro
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Detection of?Malicious Network Traffic Attacks Using Support Vector Machineraffic attacks is crucial. This research work focuses on the use of Support Vector Machines (SVM) algorithm as a machine learning tool for the detection of network traffic attacks. SVM is a flexible and adaptable classification algorithm that has shown its fruitfulness in multiple domains, including
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Enhancing Network Security: A Hybrid Approach for?Detection and?Mitigation of?Distributed Denial-of- (DoS) attack. A DDoS attack involves multiple computers working together to overwhelm a system, making it unavailable. On the other hand, a DoS attack is a one-on-one attempt to make a system or website inaccessible. Thus, it is crucial to construct an effective model for identifying various DDoS i
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Optimizing Amazon SageMaker Workloads with Predictive Compute Type Selection Strategiesdiciously. One key element in this process is predicting the most suitable “Compute Type” for various workloads, as different types exhibit varying efficiencies in handling specific tasks. The precision in selecting the appropriate compute type not only leads to enhanced performance but also contrib
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