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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：178/66  |  提交时间：2021/06/11
Cognitive computing  density estimation  memory  visual analysis systems  visual anomaly detection  
A Survey and Tutorial of EEG-Based Brain Monitoring for Driver State Analysis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 7, 页码: 1222-1242
作者:  Ce Zhang;  Azim Eskandarian
Adobe PDF(42044Kb)  |  收藏  |  浏览/下载：223/57  |  提交时间：2021/06/11
Advanced driver assistance systems (ADAS)  data analysis  electroencephalography (EEG)  intelligent vehicles  machine learning algorithms  neural network  
Predicting Lung Cancers Using Epidemiological Data: A Generative-Discriminative Framework 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 5, 页码: 1067-1078
作者:  Jinpeng Li;  Yaling Tao;  Ting Cai
Adobe PDF(915Kb)  |  收藏  |  浏览/下载：145/30  |  提交时间：2021/04/09
Cancer prevention  discriminative model  generative model  lung cancer  machine learning  
Review of Research and Development of Supernumerary Robotic Limbs 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 5, 页码: 929-952
作者:  Yuchuang Tong;  Jinguo Liu
Adobe PDF(50197Kb)  |  收藏  |  浏览/下载：230/47  |  提交时间：2021/04/09
Human-robot cooperation  human-robot interaction  supernumerary robotic finger  supernumerary robotic limb  wearable robots  
Residual-driven Fuzzy C-Means Clustering for Image Segmentation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 4, 页码: 876-889
作者:  Cong Wang;  Witold Pedrycz;  ZhiWu Li;  MengChu Zhou
Adobe PDF(7675Kb)  |  收藏  |  浏览/下载：170/35  |  提交时间：2021/04/09
Fuzzy C-Means  image segmentation  mixed or unknown noise  residual-driven  weighted regularization  
Ground-0 Axioms vs. First Principles and Second Law: From the Geometry of Light and Logic of Photon to Mind-Light-Matter Unity-AI&QI 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 3, 页码: 534-553
作者:  Wen-Ran Zhang
Adobe PDF(20155Kb)  |  收藏  |  浏览/下载：177/17  |  提交时间：2021/04/09
Analytical quantum computing  bipolar fuzzy sets  bipolar quantum agents  business intelligence  cognitive neuroscience  dynamic equilibrium  Einstein-Bohr debate  information conservational computing/cryptography  computational psychiatry, international relations  logically definable causality  quantum intelligence  quantum-neuro-fuzzy AI, human level AI&QI  quantum superposition/entanglement  white-box brain model  
Deep Learning for EMG-based Human-Machine Interaction: A Review 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 3, 页码: 512-533
作者:  Dezhen Xiong;  Daohui Zhang;  Xingang Zhao;  Yiwen Zhao
Adobe PDF(3921Kb)  |  收藏  |  浏览/下载：209/39  |  提交时间：2021/04/09
Accuracy  deep learning  electromyography (EMG)  human-machine interaction (HMI)  robustness  
Using Event-Based Method to Estimate Cybersecurity Equilibrium 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 2, 页码: 455-467
作者:  Zhaofeng Liu;  Ren Zheng;  Wenlian Lu;  Shouhuai Xu
Adobe PDF(1830Kb)  |  收藏  |  浏览/下载：218/53  |  提交时间：2021/04/09
Cybersecurity dynamics  cybersecurity equilibrium  event-based method  global state estimation  preventive and reactive cyber defense dynamics  
On Performance Gauge of Average Multi-Cue Multi-Choice Decision Making: A Converse Lyapunov Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 1, 页码: 136-147
作者:  Mehdi Firouznia;  Qing Hui
Adobe PDF(1472Kb)  |  收藏  |  浏览/下载：136/37  |  提交时间：2021/04/09
Cognitive modeling  decision making  Lyapunov function  multi-cue multi-choice tasks  performance gauge  
A Multi-Layered Gravitational Search Algorithm for Function Optimization and Real-World Problems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 1, 页码: 94-109
作者:  Yirui Wang;  Shangce Gao;  Mengchu Zhou;  Yang Yu
Adobe PDF(1938Kb)  |  收藏  |  浏览/下载：283/52  |  提交时间：2021/04/09
Artificial intelligence  exploration and exploitation  gravitational search algorithm  hierarchical interaction  hierarchy  machine learning  population structure