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Generating Adversarial Samples on Multivariate Time Series using Variational Autoencoders 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1523-1538
作者:  Samuel Harford;  Fazle Karim;  Houshang Darabi
Adobe PDF(12886Kb)  |  收藏  |  浏览/下载：153/47  |  提交时间：2021/09/03
Adversarial machine learning  deep learning  multivariate time series  perturbation methods  
A Cognitive Memory-Augmented Network for Visual Anomaly Detection 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 7, 页码: 1296-1307
作者:  Tian Wang;  Xing Xu;  Fumin Shen;  Yang Yang
Adobe PDF(6796Kb)  |  收藏  |  浏览/下载：179/67  |  提交时间：2021/06/11
Cognitive computing  density estimation  memory  visual analysis systems  visual anomaly detection  
CurveNet: Curvature-Based Multitask Learning Deep Networks for 3D Object Recognition 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 6, 页码: 1177-1187
作者:  A. A. M. Muzahid;  Wanggen Wan;  Ferdous Sohel;  Lianyao Wu;  Li Hou
Adobe PDF(3792Kb)  |  收藏  |  浏览/下载：180/34  |  提交时间：2021/06/11
3D shape analysis  convolutional neural network  DNNs  object classification  volumetric CNN  
Deep Learning in Sheet Metal Bending With a Novel Theory-Guided Deep Neural Network 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 3, 页码: 565-581
作者:  Shiming Liu;  Yifan Xia;  Zhusheng Shi;  Hui Yu;  Zhiqiang Li;  Jianguo Lin
Adobe PDF(6784Kb)  |  收藏  |  浏览/下载：254/64  |  提交时间：2021/04/09
Data-driven deep learning  deep learning  deep neural network (DNN)  intelligent manufacturing  machine learning  sheet metal forming  springback  theory-guided deep learning  theory-guided regularization  
A Sensorless State Estimation for A Safety-Oriented Cyber-Physical System in Urban Driving: Deep Learning Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 1, 页码: 169-178
作者:  Mohammad Al-Sharman;  David Murdoch;  Dongpu Cao;  Chen Lv;  Yahya Zweiri;  Derek Rayside;  William Melek
Adobe PDF(24399Kb)  |  收藏  |  浏览/下载：139/7  |  提交时间：2021/04/09
Brake pressure state estimation  cyber-physical system (CPS)  deep learning  dropout regularization approach