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Distributed Order-Up-To Inventory Control in Networked Supply Systems With Delay 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 10, 页码: 1709-1714
作者:  Przemysław Ignaciuk
Adobe PDF(905Kb)  |  收藏  |  浏览/下载：99/37  |  提交时间：2021/09/03
Inventory control  networks  supply systems  time-delay systems  
Fighting COVID-19 and Future Pandemics With the Internet of Things: Security and Privacy Perspectives 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1477-1499
作者:  Mohamed Amine Ferrag;  Lei Shu;  Kim-Kwang Raymond Choo
Adobe PDF(2997Kb)  |  收藏  |  浏览/下载：155/33  |  提交时间：2021/09/03
Blockchain  COVID-19  healthcare  privacy  SARS-CoV-2  security  
Human-Swarm-Teaming Transparency and Trust Architecture 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 7, 页码: 1281-1295
作者:  Adam J. Hepworth;  Daniel P. Baxter;  Aya Hussein;  Kate J. Yaxley;  Essam Debie;  Hussein A. Abbass
Adobe PDF(2092Kb)  |  收藏  |  浏览/下载：262/90  |  提交时间：2021/06/11
Artificial intelligence  explainability  human-swarm teaming (HST)  interpretability  predictability  swarm shepherding  transparency  
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：203/56  |  提交时间：2021/06/11
Advanced driver assistance systems (ADAS)  data analysis  electroencephalography (EEG)  intelligent vehicles  machine learning algorithms  neural network  
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：201/45  |  提交时间：2021/04/09
Human-robot cooperation  human-robot interaction  supernumerary robotic finger  supernumerary robotic limb  wearable robots  
Fixed-Time Output Consensus Tracking for High-Order Multi-Agent Systems With Directed Network Topology and Packet Dropout 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 4, 页码: 817-836
作者:  Junkang Ni;  Peng Shi;  Yu Zhao;  Zhonghua Wu
Adobe PDF(2591Kb)  |  收藏  |  浏览/下载：146/54  |  提交时间：2021/04/09
Directed graph  fixed-time control  multi-agent system  output consensus tracking  packet dropout  
An Overview of Recommendation Techniques and Their Applications in Healthcare 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 4, 页码: 701-717
作者:  Wenbin Yue;  Zidong Wang;  Jieyu Zhang;  Xiaohui Liu
Adobe PDF(1958Kb)  |  收藏  |  浏览/下载：208/48  |  提交时间：2021/04/09
Collaborative filtering (CF)  content-based recommendation  healthcare  recommendation system (RS)  
Computing Paradigms in Emerging Vehicular Environments: A Review 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 3, 页码: 491-511
作者:  Lion Silva;  Naercio Magaia;  Breno Sousa;  Anna Kobusińska;  António Casimiro;  Constandinos X. Mavromoustakis;  George Mastorakis;  Victor Hugo C. de Albuquerque
Adobe PDF(12933Kb)  |  收藏  |  浏览/下载：122/19  |  提交时间：2021/04/09
Computing paradigm  cloud  edge  fog  internet of vehicle (IoV)  vehicular networks  
Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 2, 页码: 402-411
作者:  Xin Luo;  Wen Qin;  Ani Dong;  Khaled Sedraoui;  MengChu Zhou
Adobe PDF(5091Kb)  |  收藏  |  浏览/下载：176/55  |  提交时间：2021/04/09
Big data  industrial application  industrial data  latent factor analysis  machine learning  parallel algorithm  recommender system (RS)  stochastic gradient descent (SGD)  
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：116/5  |  提交时间：2021/04/09
Brake pressure state estimation  cyber-physical system (CPS)  deep learning  dropout regularization approach