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Efficient Visual Recognition: A Survey on Recent Advances and Brain-inspired Methodologies 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 366-411
作者:  Yang Wu;  Ding-Heng Wang;  Xiao-Tong Lu;  Fan Yang;  Man Yao;  Wei-Sheng Dong;  Jian-Bo Shi;  Guo-Qi Li
Adobe PDF(6780Kb)  |  收藏  |  浏览/下载：19/3  |  提交时间：2024/04/23
Visual recognition  deep neural networks (DNNS)  brain-inspired methodologies  network compression  dynamic inference  survey  
Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 8, 页码: 1427-1439
作者:  Ruibing Jin;  Min Wu;  Keyu Wu;  Kaizhou Gao;  Zhenghua Chen;  Xiaoli Li
Adobe PDF(4588Kb)  |  收藏  |  浏览/下载：185/41  |  提交时间：2022/08/01
Convolutional neural network (CNN)  deep learning  position encoding  remaining useful life prediction  
A LiDAR SLAM with PCA-based Feature Extraction and Two-stage Matching 期刊论文
IEEE Transactions on Instrumentation and Measurement, 2022, 期号: 71, 页码: 1-11
作者:  Shiyi Guo;  Zheng Rong;  Shuo Wang;  Yihong Wu
Adobe PDF(6040Kb)  |  收藏  |  浏览/下载：289/76  |  提交时间：2022/04/06
Feature extraction  trajectory measurement  light detection and ranging (LiDAR) simultaneous localization and mapping (SLAM)  loop closing  feature matching  
Unmanned Aerial Vehicles: Control Methods and Future Challenges 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 4, 页码: 601-614
作者:  Zongyu Zuo, Cunjia Liu, Qing-Long Han, Jiawei Song
Adobe PDF(2744Kb)  |  收藏  |  浏览/下载：163/32  |  提交时间：2022/03/09
Aircraft control,disturbance rejection,path-following,trajectory tracking,unmanned aerial vehicle  
Energy Theft Detection in Smart Grids: Taxonomy, Comparative Analysis, Challenges, and Future Research Directions 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 4, 页码: 578-600
作者:  Mohsin Ahmed, Abid Khan, Mansoor Ahmed, Mouzna Tahir, Gwanggil Jeon, Giancarlo Fortino, Francesco Piccialli
Adobe PDF(2767Kb)  |  收藏  |  浏览/下载：182/48  |  提交时间：2022/03/09
Challenges,comparative analysis,energy theft detection,future research directions,smart grid,taxonomy