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| Toward Coordination Control of Multiple Fish-Like Robots: Real-Time Vision-Based Pose Estimation and Tracking via Deep Neural Networks 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 12, 页码: 1964-1976 作者: Tianhao Zhang; Jiuhong Xiao; Liang Li; Chen Wang; Guangming Xie Adobe PDF(40902Kb)  |  收藏  |  浏览/下载:111/12  |  提交时间:2021/09/03 Deep neural networks formation control multiple fish-like robots pose estimation pose tracking |
| Blockchain-Assisted Secure Fine-Grained Searchable Encryption for a Cloud-Based Healthcare Cyber-Physical System 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 12, 页码: 1877-1890 作者: null Mamta; Brij B. Gupta; Kuan-Ching Li; Victor C. M. Leung; Kostas E. Psannis; Shingo Yamaguchi Adobe PDF(1923Kb)  |  收藏  |  浏览/下载:178/51  |  提交时间:2021/09/03 Cloud-based cyber-physical systems (CCPS) data encryption healthcare information search and retrieval keyword search public-key cryptosystems searchable encryption |
| MU-GAN: Facial Attribute Editing Based on Multi-Attention Mechanism 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1614-1626 作者: Ke Zhang; Yukun Su; Xiwang Guo; Liang Qi; Zhenbing Zhao Adobe PDF(13892Kb)  |  收藏  |  浏览/下载:98/14  |  提交时间:2021/09/03 Attention U-Net connection encoder-decoder architecture facial attribute editing multi-attention mechanism |
| 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:123/41  |  提交时间:2021/09/03 Adversarial machine learning deep learning multivariate time series perturbation methods |
| FISS GAN: A Generative Adversarial Network for Foggy Image Semantic Segmentation 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 8, 页码: 1428-1439 作者: Kunhua Liu; Zihao Ye; Hongyan Guo; Dongpu Cao; Long Chen; Fei-Yue Wang Adobe PDF(16859Kb)  |  收藏  |  浏览/下载:168/28  |  提交时间:2021/06/11 Edge GAN foggy images foggy image semantic segmentation GAN semantic segmentation |
| Learning Convex Optimization Models 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 8, 页码: 1355-1364 作者: Akshay Agrawal; Shane Barratt; Stephen Boyd Adobe PDF(1593Kb)  |  收藏  |  浏览/下载:161/47  |  提交时间:2021/06/11 Convex optimization differentiable optimization machine learning |
| Remaining Useful Life Prediction for a Roller in a Hot Strip Mill Based on Deep Recurrent Neural Networks 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 7, 页码: 1345-1354 作者: Ruihua Jiao; Kaixiang Peng; Jie Dong Adobe PDF(1807Kb)  |  收藏  |  浏览/下载:130/47  |  提交时间:2021/06/11 Hot strip mill prognostics and health management (PHM) recurrent neural network (RNN) remaining useful life (RUL) roller management |
| 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:259/89  |  提交时间:2021/06/11 Artificial intelligence explainability human-swarm teaming (HST) interpretability predictability swarm shepherding transparency |
| Towards Collaborative Robotics in Top View Surveillance: A Framework for Multiple Object Tracking by Detection Using Deep Learning 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 7, 页码: 1253-1270 作者: Imran Ahmed; Sadia Din; Gwanggil Jeon; Francesco Piccialli; Giancarlo Fortino Adobe PDF(69436Kb)  |  收藏  |  浏览/下载:146/16  |  提交时间:2021/06/11 Collaborative robotics deep learning object detection and tracking top view video surveillance |
| 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:201/56  |  提交时间:2021/06/11 Advanced driver assistance systems (ADAS) data analysis electroencephalography (EEG) intelligent vehicles machine learning algorithms neural network |