找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

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

[復制鏈接]
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.
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-12 06:53
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復 返回頂部 返回列表
玉溪市| 苏尼特左旗| 离岛区| 衡山县| 临潭县| 随州市| 汕尾市| 竹溪县| 冀州市| 永修县| 潮州市| 锡林浩特市| 嘉荫县| 鄂托克旗| 泰安市| 蓬莱市| 大竹县| 冷水江市| 桂林市| 屏东县| 红河县| 丹巴县| 卢湾区| 且末县| 南江县| 璧山县| 吉林省| 阜康市| 乌拉特前旗| 鄂州市| 洮南市| 阜康市| 奉化市| 图木舒克市| 蓬溪县| 洞头县| 三原县| 金秀| 鞍山市| 河北区| 屏山县|