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Coarse-to-fine label propagation with hybrid representation for deep semi-supervised bot detection 期刊论文
WIRELESS NETWORKS, 2024, 页码: 16
作者:  Peng, Huailiang;  Zhang, Yujun;  Bai, Xu;  Dai, Qiong
收藏  |  浏览/下载:1/0  |  提交时间:2024/12/06
Social bot detection  Digital twins  Edge intelligence  Label propagation  Social network analysis  
E3-UAV: An Edge-Based Energy-Efficient Object Detection System for Unmanned Aerial Vehicles 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2024, 卷号: 11, 期号: 3, 页码: 4398-4413
作者:  Suo, Jiashun;  Zhang, Xingzhou;  Shi, Weisong;  Zhou, Wei
收藏  |  浏览/下载:11/0  |  提交时间:2024/05/20
Object detection  Energy consumption  Task analysis  Image edge detection  Autonomous aerial vehicles  Detectors  Detection algorithms  Edge computing  edge intelligence  energy efficiency  object detection system  unmanned aerial vehicle (UAV)  
Optimizing deep neural networks on intelligent edge accelerators via flexible-rate filter pruning 期刊论文
JOURNAL OF SYSTEMS ARCHITECTURE, 2022, 卷号: 124, 页码: 11
作者:  Li, Guangli;  Ma, Xiu;  Wang, Xueying;  Yue, Hengshan;  Li, Jiansong;  Liu, Lei;  Feng, Xiaobing;  Xue, Jingling
收藏  |  浏览/下载:34/0  |  提交时间:2022/12/07
Edge intelligence  Deep learning  Neural network compression  
An Intelligent End-Edge-Cloud Architecture for Visual IoT-Assisted Healthcare Systems 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2021, 卷号: 8, 期号: 23, 页码: 16779-16786
作者:  Yang, Zheming;  Liang, Bing;  Ji, Wen
收藏  |  浏览/下载:30/0  |  提交时间:2022/06/21
Medical services  Visualization  Internet of Things  Hospitals  Computer architecture  Performance evaluation  Cloud computing  End-edge-cloud system  intelligence model  Internet of Things (IoT)  new architecture  smart healthcare  visual IoT  
Fusion-Catalyzed Pruning for Optimizing Deep Learning on Intelligent Edge Devices 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 11, 页码: 3614-3626
作者:  Li, Guangli;  Ma, Xiu;  Wang, Xueying;  Liu, Lei;  Xue, Jingling;  Feng, Xiaobing
收藏  |  浏览/下载:56/0  |  提交时间:2021/12/01
Deep learning system  edge intelligence  model compression and acceleration  neural networks