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A Fast Compression Framework Based on 3D Point Cloud Data for Telepresence 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 6, 页码: 855-866
作者:  Zun-Ran Wang;  Chen-Guang Yang;  Shi-Lu Dai
浏览  |  Adobe PDF(1401Kb)  |  收藏  |  浏览/下载：242/79  |  提交时间：2021/02/22
3D point cloud compression  motion estimation  signatures of histograms orientation  3D point cloud matching  predicted frame and intra frame.  
Integration of Facial Thermography in EEG-based Classification of ASD 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 6, 页码: 837-854
作者:  Dilantha Haputhanthri;  Gunavaran Brihadiswaran;  Sahan Gunathilaka;  Dulani Meedeniya;  Sampath Jayarathna;  Mark Jaime;  Christopher Harshaw
浏览  |  Adobe PDF(1617Kb)  |  收藏  |  浏览/下载：235/70  |  提交时间：2021/02/22
Autism spectrum disorder  facial thermography  EEG signal processing  machine learning  decision support system  ASDGenus.  
Output Feedback Stabilization for MIMO Semi-linear Stochastic Systems with Transient Optimisation 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 83-95
作者:  Qi-Chun Zhang;  Liang Hu;  John Gow
Adobe PDF(1322Kb)  |  收藏  |  浏览/下载：148/47  |  提交时间：2021/02/22
Multi-input-multi-output (MIMO) stochastic systems  output feedback stabilisation  block backstepping  randomness attenuation  probabilistic decoupling  mutual information.  
Deep Learning Based Hand Gesture Recognition and UAV Flight Controls 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 17-29
作者:  Bin Hu;  Jiacun Wang
Adobe PDF(1357Kb)  |  收藏  |  浏览/下载：190/62  |  提交时间：2021/02/22
Deep learning  neural networks  hand gesture recognition  Leap Motion Controllers  drones.  
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
Adobe PDF(2673Kb)  |  收藏  |  浏览/下载：224/56  |  提交时间：2021/02/22
Autonomous underwater vehicle (AUV)  cooperative motion  formation control  optimization  path planning (PP).