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Titlebook: Wireless Internet; 15th EAI Internation Zygmunt J. Haas,Ravi Prakash,Weili Wu Conference proceedings 2023 ICST Institute for Computer Scien

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樓主: Suture
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發(fā)表于 2025-3-23 12:01:41 | 只看該作者
12#
發(fā)表于 2025-3-23 15:42:17 | 只看該作者
13#
發(fā)表于 2025-3-23 21:25:11 | 只看該作者
A Framework for?a?Blockchain-Based Decentralized Data Marketplaceta marketplace users, on the other hand, must share and trade data in a secure and trusted environment while maintaining their privacy. The paper’s first major contribution is to identify enabling technologies and challenges to the development of decentralized data marketplaces. The second major con
14#
發(fā)表于 2025-3-24 01:47:48 | 只看該作者
Formulate Full View Camera Sensor Coverage by?Using Group Set Coverageon selection, and moving-directional target coverage. In this paper, we study them step by step, from one issue, two issue, to three issues. In each step, we formulate a group set cover- age problem, and study its computational complexity and approximation solutions. Especially, we employ a new type
15#
發(fā)表于 2025-3-24 05:18:48 | 只看該作者
Delay-Aware Hash Tree for?Blockchain on?Vehicular Delay Tolerant Networksd in Vehicular Ad-hoc Networks (VANETs). Due to the high mobility of VANETs, frequent changes of the network topology occur and the network connection can be lost. These cause a high delay and network partitioning. Therefore, a new research paradigm called Vehicular Delay Tolerant Networks (VDTNs) i
16#
發(fā)表于 2025-3-24 07:32:20 | 只看該作者
Learning the?Propagation of?Worms in?Wireless Sensor Networkse to the distinct strategies of worms propagation, the dynamic behavior varies depending on the different features of the sensors. Modeling the spread of worms can help us understand the worm attack behaviors and analyze the propagation procedure. In this paper, we design a communication model under
17#
發(fā)表于 2025-3-24 11:17:18 | 只看該作者
5G Channel Forecasting and?Power Allocation Based on?LSTM Network and?Cooperative Communicationt disappearance in the Recurrent Neural Network (RNN) specialized in dealing with time series problems. Then, the designed arithmetic is performed and the performances are compared with the real channel, and small Root Mean Square Error (RMSE) is obtained, which shows the high accuracy of the predic
18#
發(fā)表于 2025-3-24 17:03:36 | 只看該作者
19#
發(fā)表于 2025-3-24 21:33:26 | 只看該作者
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發(fā)表于 2025-3-25 00:46:25 | 只看該作者
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