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Semi-supervised Ladder Networks for Speech Emotion Recognition 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 437-448
作者:  Tao, Jianhua;  Huang, Jian;  Li, Ya;  Lian, Zheng;  Niu, Mingyue
浏览  |  Adobe PDF(1025Kb)  |  收藏  |  浏览/下载：263/57  |  提交时间：2020/06/20
Speech emotion recognition  the ladder network  semi-supervised learning  autoencoder  regularization  
A Survey of the Research Status of Pedestrian Dead Reckoning Systems Based on Inertial Sensors 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 65-83
作者:  Wu, Yuan;  Zhu, Haibing;  Du, Qingxiu;  Tang, Shuming
浏览  |  Adobe PDF(989Kb)  |  收藏  |  浏览/下载：445/211  |  提交时间：2019/05/04
Inertial Measurement Unit (Imu)  Pedestrian Dead-reckoning  Indoor Navigation  Technical Route  General Framework  
A Survey of the Research Status of Pedestrian Dead Reckoning Systems Based on Inertial Sensors 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 65-83
作者:  Yuan Wu;  Hai-Bing Zhu;  Qing-Xiu Du;  Shu-Ming Tang
浏览  |  Adobe PDF(1248Kb)  |  收藏  |  浏览/下载：244/79  |  提交时间：2021/02/22
Inertial measurement unit (IMU)  pedestrian dead-reckoning  indoor navigation  technical route  general framework.  
Fuzzy Behavior-based Control of Three Wheeled Omnidirectional Mobile Robot 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 2, 页码: 163-185
作者:  Nacer Hacene;  Boubekeur Mendil
Adobe PDF(3450Kb)  |  收藏  |  浏览/下载：115/45  |  提交时间：2021/02/22
Three wheeled omnidirectional mobile robot (TWOMR)  autonomous navigation  obstacle avoidance  fuzzy behavior-based control  dynamic target  dynamic environment.  
An Approach to Reducing Input Parameter Volume for Fault Classifiers 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 2, 页码: 199-212
作者:  Ann Smith;  Fengshou Gu;  Andrew D. Ball
浏览  |  Adobe PDF(1085Kb)  |  收藏  |  浏览/下载：118/54  |  提交时间：2021/02/22
Fault diagnosis  classification  variable clustering  data compression  big data.  
Phenomenological Based Soft Sensor for Online Estimation of Slurry Rheological Properties 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 696-706
作者:  Jenny L. Diaz C.;  Diego A. Muñoz;  Hernan Alvarez
浏览  |  Adobe PDF(2306Kb)  |  收藏  |  浏览/下载：143/38  |  提交时间：2021/02/22
Soft sensor  phenomenological based semi-physical model  non-Newtonian fluids  unknown input observer  slurry flow.  
Synthesizing Robot Programs with Interactive Tutor Mode 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 462-474
作者:  Hao Li;  Yu-Ping Wang;  Tai-Jiang Mu
浏览  |  Adobe PDF(1023Kb)  |  收藏  |  浏览/下载：110/43  |  提交时间：2021/02/22
Human-robot interaction  semantic parsing  program synthesis  intelligent robotic systems  natural language understanding.  
Decomposition Based Fuzzy Model Predictive Control Approaches for Interconnected Nonlinear Systems 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 369-388
作者:  Latifa Dalhoumi;  Mohamed Chtourou;  Mohamed Djemel
浏览  |  Adobe PDF(2371Kb)  |  收藏  |  浏览/下载：103/39  |  提交时间：2021/02/22
Model predictive control  centralized control  decentralized control  Takagi-Sugeno (TS) fuzzy models  interconnected nonlinear systems  fuzzy model predictive control  parallel distributed compensation.  
Zero-shot Fine-grained Classification by Deep Feature Learning with Semantics 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 563-574
作者:  Ao-Xue Li;  Ke-Xin Zhang;  Li-Wei Wang
浏览  |  Adobe PDF(1089Kb)  |  收藏  |  浏览/下载：171/51  |  提交时间：2021/02/22
Fine-grained image classification  zero-shot learning  deep feature learning  domain adaptation  semantic graph.  
Recent Advances in the Modelling and Analysis of Opinion Dynamics on Influence Networks 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 2, 页码: 129-149
作者:  Brian D. O. Anderson;  Mengbin Ye
浏览  |  Adobe PDF(1461Kb)  |  收藏  |  浏览/下载：112/42  |  提交时间：2021/02/22
Opinion dynamics  social networks  influence networks  agent-based models  multi-agent systems  networked systems.