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Scalable Clock Synchronization Analysis: A Symmetric Noncooperative Output Feedback Tubes-MPC Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 6, 页码: 1604-1626
作者:  Ting Wang;  Xiaoquan Xu;  Xiaoming Tang
Adobe PDF(4517Kb)  |  收藏  |  浏览/下载：149/41  |  提交时间：2021/03/11
Affine system  clock synchronization  model predictive control  output feedback  
Learning a Deep Predictive Coding Network for a Semi-Supervised 3D-Hand Pose Estimation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 5, 页码: 1371-1379
作者:  Jamal Banzi;  Isack Bulugu;  Zhongfu Ye
Adobe PDF(8152Kb)  |  收藏  |  浏览/下载：108/35  |  提交时间：2021/03/11
Convolutional neural networks  deep learning  hand pose estimation  human-machine interaction  predictive coding  recurrent neural networks  unsupervised learning  
Urban Sensing Based on Mobile Phone Data: Approaches, Applications, and Challenges 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 3, 页码: 627-637
作者:  Mohammadhossein Ghahramani;  MengChu Zhou;  Gang Wang
浏览  |  Adobe PDF(3738Kb)  |  收藏  |  浏览/下载：132/34  |  提交时间：2021/03/11
Big data analysis  human mobility  origin destination matrices  smart infrastructure  urban planning  
BAS-ADAM: An ADAM Based Approach to Improve the Performance of Beetle Antennae Search Optimizer 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 2, 页码: 461-471
作者:  Ameer Hamza Khan;  Xinwei Cao;  Shuai Li;  Vasilios N. Katsikis;  Liefa Liao
浏览  |  Adobe PDF(4203Kb)  |  收藏  |  浏览/下载：148/29  |  提交时间：2021/03/11
Adaptive moment estimation (ADAM)  Beetle antennae search (BAM)  gradient estimation  metaheuristic optimization  nature-inspired algorithms  neural network  
Artificial Intelligence Applications in the Development of Autonomous Vehicles: A Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 2, 页码: 315-329
作者:  Yifang Ma;  Zhenyu Wang;  Hong Yang;  Lin Yang
浏览  |  Adobe PDF(2175Kb)  |  收藏  |  浏览/下载：151/41  |  提交时间：2021/03/11
Artificial intelligence (AI)  autonomous vehicles (AVs)  deep learning (DL)  motion planning  perception  self-driving  
Text Detection in Natural Scene Images Using Morphological Component Analysis and Laplacian Dictionary 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 1, 页码: 214-222
作者:  Shuping Liu;   Yantuan Xian;   Huafeng Li;   Zhengtao Yu
浏览  |  Adobe PDF(17878Kb)  |  收藏  |  浏览/下载：154/38  |  提交时间：2021/03/11
Dictionary learning  Laplacian sparse regularization  morphological component analysis (MCA)  sparse representation  text detection  
Big Data Analytics in Telecommunications: Literature Review and Architecture Recommendations 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 1, 页码: 18-38
作者:  Hira Zahid;  Tariq Mahmood;  Ahsan Morshed;  Timos Sellis
Adobe PDF(11375Kb)  |  收藏  |  浏览/下载：164/42  |  提交时间：2021/03/11
Big data analytics  BDA pipeline  BDA technology stack  lambda architecture  python  systematic literature review  telecommunications  
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：211/61  |  提交时间：2021/02/22
Adversarial example  model safety  robustness  defenses  deep learning.  
A Comprehensive Review of Path Planning Algorithms for Autonomous Underwater Vehicles 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 321-352
作者:  Madhusmita Panda;  Bikramaditya Das;  Bidyadhar Subudhi;  Bibhuti Bhusan Pati
浏览  |  Adobe PDF(2673Kb)  |  收藏  |  浏览/下载：197/50  |  提交时间：2021/02/22
Autonomous underwater vehicle (AUV)  cooperative motion  formation control  optimization  path planning (PP).  
A Recurrent Attention and Interaction Model for Pedestrian Trajectory Prediction 期刊论文
Journal of Automatica Sinica, 2020, 期号: *, 页码: *
作者:  Li Xuesong;  Liu Yating;  Wang Kunfeng;  Wang Fei-Yue
浏览  |  Adobe PDF(5533Kb)  |  收藏  |  浏览/下载：169/47  |  提交时间：2020/06/08
Trajectory prediction  recurrent attention and interaction model  Long Short-Term Memory  deep learning