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Encoding-decoding Network With Pyramid Self-attention Module for Retinal Vessel Segmentation 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 973-980
作者:  Cong-Zhong Wu;  Jun Sun;  Jing Wang;  Liang-Feng Xu;  Shu Zhan
Adobe PDF(1416Kb)  |  收藏  |  浏览/下载:165/38  |  提交时间:2021/11/26
Retina vessel segmentation  deep learning  U-Net  attention mechanism  medical image  
A Regularized LSTM Method for Predicting Remaining Useful Life of Rolling Bearings 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 581-593
作者:  Zhao-Hua Liu;  Xu-Dong Meng;  Hua-Liang Wei;  Liang Chen;  Bi-Liang Lu;  Zhen-Heng Wang;  Lei Chen
Adobe PDF(4710Kb)  |  收藏  |  浏览/下载:127/52  |  提交时间:2021/07/20
Deep learning  fault diagnosis  fault prognosis  long and short time memory network (LSTM)  rolling bearing  rotating machinery  regularization  remaining useful life prediction (RUL)  recurrent neural network (RNN)  
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 151-178
作者:  Han Xu;  Yao Ma;  Hao-Chen Liu;  Debayan Deb;  Hui Liu;  Ji-Liang Tang;  Anil K. Jain
浏览  |  Adobe PDF(2155Kb)  |  收藏  |  浏览/下载:209/61  |  提交时间:2021/02/22
Adversarial example  model safety  robustness  defenses  deep learning.