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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.  
Dual-modal Physiological Feature Fusion-based Sleep Recognition Using CFS and RF Algorithm 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 286-296
作者:  Bing-Tao Zhang;  Xiao-Peng Wang;  Yu Shen
浏览  |  Adobe PDF(847Kb)  |  收藏  |  浏览/下载:189/50  |  提交时间:2021/02/22
Feature fusion  mild difficulty in falling asleep (MDFA)  decision support tool  sleep issues  optimal feature set.  
Development and Modeling of Remotely Operated Scaled Multi-wheeled Combat Vehicle Using System Identification 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 261-273
作者:  A. N. Ouda;  Amr Mohamed;  Moustafa EI-Gindy;  Haoxiang Lang;  Jing Ren
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Autonomous multi-wheeled vehicle  system identification  all wheel steering  fuzzy logic (FL)  parametric identification.  
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
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Fault diagnosis  classification  variable clustering  data compression  big data.  
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
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Inertial measurement unit (IMU)  pedestrian dead-reckoning  indoor navigation  technical route  general framework.  
Multi-layer Contribution Propagation Analysis for Fault Diagnosis 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 40-51
作者:  Ruo-Mu Tan;  Yi Cao
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Process monitoring  fault detection and diagnosis  contribution plots  feature extraction  multivariate statistics.  
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:513/217  |  提交时间:2019/05/04
Inertial Measurement Unit (Imu)  Pedestrian Dead-reckoning  Indoor Navigation  Technical Route  General Framework