昏迷状态 发表于 2025-3-30 11:36:04
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赤字 发表于 2025-3-30 13:41:56
http://reply.papertrans.cn/103/10290/1028935/1028935_52.png显示 发表于 2025-3-30 18:06:19
http://reply.papertrans.cn/103/10290/1028935/1028935_53.pngbackdrop 发表于 2025-3-30 22:34:04
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 identibizarre 发表于 2025-3-31 04:38:20
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语言学 发表于 2025-3-31 05:40:47
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精确 发表于 2025-3-31 13:15:33
http://reply.papertrans.cn/103/10290/1028935/1028935_57.pngcompose 发表于 2025-3-31 17:07:34
http://reply.papertrans.cn/103/10290/1028935/1028935_58.png飞来飞去真休 发表于 2025-3-31 20:52:18
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.cylinder 发表于 2025-4-1 00:11:48
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.