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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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樓主: Waterproof
21#
發(fā)表于 2025-3-25 05:04:30 | 只看該作者
22#
發(fā)表于 2025-3-25 11:17:56 | 只看該作者
Conference proceedings 202411 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..
23#
發(fā)表于 2025-3-25 15:29:07 | 只看該作者
https://doi.org/10.1007/978-3-662-07593-7nforcement learning and deep neural networks to adapt to real-time data and diverse environmental conditions. Experimental study demonstrates the effectiveness of the proposed approach over local and remote execution in terms of total overhead and energy consumption.
24#
發(fā)表于 2025-3-25 18:17:19 | 只看該作者
25#
發(fā)表于 2025-3-25 20:47:37 | 只看該作者
https://doi.org/10.1007/978-3-8351-9020-7r honey traps in a novel manner. The rigorous evaluation of our approach demonstrates its ability to detect correlated attributes and adapt policy sets, marking a substantial step forward in proactive insider threat detection and mitigation.
26#
發(fā)表于 2025-3-26 02:07:21 | 只看該作者
27#
發(fā)表于 2025-3-26 07:41:21 | 只看該作者
28#
發(fā)表于 2025-3-26 09:48:15 | 只看該作者
29#
發(fā)表于 2025-3-26 13:34:53 | 只看該作者
Performance Comparison of?QoS Aware Power Allocation and?Optimization Techniques for?the?Small-Cell r point Trust Region (IPTR) are discussed. The performance comparison is done with these algorithms to analyse the effect on sum rate, individual rates and computational complexity in small cell network scenarios. The results show that the LSQP technique has improved sum and user rate performance compared to SQP and trust region-based methods.
30#
發(fā)表于 2025-3-26 19:02:11 | 只看該作者
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