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Titlebook: Wireless Algorithms, Systems, and Applications; 17th International C Lei Wang,Michael Segal,Tie Qiu Conference proceedings 2022 The Editor(

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樓主: Mosquito
51#
發(fā)表于 2025-3-30 11:36:04 | 只看該作者
Hao Yu,Chong Zhao,Xing Wei,Yan Zhai,Zhen Chen,Guangling Sun,Yang Luding effects are significant in many feedback circuits and yet they are not dealt with fully in many texts. Prerequisite knowledge for a successful use of the guide has been kept to a minimum. A knowledge of elementary circuit theory is assumed, and an under- standing of basic transistor circuits would be use978-0-412-34270-7978-94-011-7609-5
52#
發(fā)表于 2025-3-30 13:41:56 | 只看該作者
53#
發(fā)表于 2025-3-30 18:06:19 | 只看該作者
54#
發(fā)表于 2025-3-30 22:34:04 | 只看該作者
An Efficient Privacy-Preserving Scheme for Traffic Monitoring Services in Vehicular Networks route to satisfy the timeliness requirement. We propose a location obfuscation mechanism based on . and utilize it on every segmented route. We address an issue in geo-indistinguishability where the obfuscated location is unreasonable. Additionally, continuous queries may expose the driver’s identi
55#
發(fā)表于 2025-3-31 04:38:20 | 只看該作者
Skin Lesion Segmentation via Intensive Atrous Spatial Transformerensuring that the effective information of each channel is obtained. On the other hand, channel attention is used to screen features, which can enable the network to effectively identify targets without increasing the training complexity. The experimental results show that the proposed IASTrans-Net
56#
發(fā)表于 2025-3-31 05:40:47 | 只看該作者
Graph Convolutional Networks (GCN)-Based Lightweight Detection Model for?Dangerous Driving Behaviorformation features. Meanwhile, we propose a multi-information fusion behavior recognition model of “people . objects” by capturing the motion information of related object. Finally, the method based on Singular Value Decomposition (SVD) rank reduction is used to compress the model to improve the spe
57#
發(fā)表于 2025-3-31 13:15:33 | 只看該作者
58#
發(fā)表于 2025-3-31 17:07:34 | 只看該作者
59#
發(fā)表于 2025-3-31 20:52:18 | 只看該作者
A Spatial-Temporal Convolutional Model with Improved Graph Representationelation trend of the data. The IGR-TCN fits better than traditional recurrent neural networks, traditional graph convolution models, and graph spatial-temporal models. It can be more effective for spatial-temporal information prediction.
60#
發(fā)表于 2025-4-1 00:11:48 | 只看該作者
A Proof-of-Weighted-Planned-Behavior Consensus for?Efficient and?Reliable Cyber-Physical Systemsd reliability of our designed mechanism are guaranteed. Finally, the experimental simulation results prove that compared with the traditional consensus, our proposed consensus improves the reliability and the system performance of the blockchain-enabled cyber-physical systems.
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