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Continuous Probabilistic SLAM Solved via Iterated Conditional Modes 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 838-850
作者:  J. Gimenez;  A. Amicarelli;  J. M. Toibero;  F. di Sciascio;  R. Carelli
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Probabilistic simultaneous localization and mapping (SLAM)  dynamic obstacles  Markov random fields (MRF)  iterated conditional modes (ICM)  kernel estimator.  
A Linear Quadratic Controller Design Incorporating a Parametric Sensitivity Constraint 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 553-562
作者:  Mohamed Yagoubi
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Linear quadratic control  parametric uncertainties  trajectory sensitivity  non-standard Riccati equation  Lur'e matrix equations  linear time invariant (LMI)  particle swarm optimization.  
Large-scale Data Collection and Analysis via a Gamified Intelligent Crowdsourcing Platform 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 427-436
作者:  Simone Hantke;  Tobias Olenyi;  Christoph Hausner;  Tobias Appel;  Björn Schuller
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Human computation  speech analysis  crowdsourcing  gamified data collection  survey.  
Emergency Supply Chain Management Based on Rough Set – House of Quality 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 297-309
作者:  Yuan He;  Xue-Dong Liang;  Fu-Min Deng;  Zhi Li
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Emergency supply chain  Rough set  House of quality  management indicators  attribute reduction.  
Effective Crowd Anomaly Detection Through Spatio-temporal Texture Analysis 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 27-39
作者:  Yu Hao;  Zhi-Jie Xu;  Ying Liu;  Jing Wang;  Jiu-Lun Fan
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Crowd behavior  spatial-temporal texture  gray level co-occurrence matrix  information entropy.  
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
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Speech emotion recognition  the ladder network  semi-supervised learning  autoencoder  regularization