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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
浏览  |  Adobe PDF(2980Kb)  |  收藏  |  浏览/下载：204/68  |  提交时间：2021/02/22
Probabilistic simultaneous localization and mapping (SLAM)  dynamic obstacles  Markov random fields (MRF)  iterated conditional modes (ICM)  kernel estimator.  
A Wide Learning Approach for Interpretable Feature Recommendation for 1-D Sensor Data in IoT Analytics 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 800-811
作者:  Snehasis Banerjee;  Tanushyam Chattopadhyay;  Utpal Garain
浏览  |  Adobe PDF(891Kb)  |  收藏  |  浏览/下载：173/53  |  提交时间：2021/02/22
Feature engineering  sensor data analysis  Internet of things (IoT) analytics  interpretable learning  automation.  
Predictive Control Based on Fuzzy Supervisor for PWARX Hybrid Model 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 683-695
作者:  Olfa Yahya;  Zeineb Lassoued;  Kamel Abderrahim
浏览  |  Adobe PDF(2179Kb)  |  收藏  |  浏览/下载：83/50  |  提交时间：2021/02/22
Nonlinear control  hybrid systems  mixed logical dynamic (MLD) model  predictive control  fuzzy supervisor.  
A Robust Face Recognition Method Combining LBP with Multi-mirror Symmetry for Images with Various Face Interferences 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 671-682
作者:  Shui-Guang Tong;  Yuan-Yuan Huang;  Zhe-Ming Tong
浏览  |  Adobe PDF(1191Kb)  |  收藏  |  浏览/下载：139/53  |  提交时间：2021/02/22
Face recognition (FR)  local binary pattern (LBP)  facial symmetry  image interferences  multi-mirror average.  
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：165/39  |  提交时间：2021/02/22
Feature fusion  mild difficulty in falling asleep (MDFA)  decision support tool  sleep issues  optimal feature set.  
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：126/59  |  提交时间：2021/02/22
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
浏览  |  Adobe PDF(1248Kb)  |  收藏  |  浏览/下载：253/79  |  提交时间：2021/02/22
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
浏览  |  Adobe PDF(1077Kb)  |  收藏  |  浏览/下载：105/38  |  提交时间：2021/02/22
Process monitoring  fault detection and diagnosis  contribution plots  feature extraction  multivariate statistics.  
Potential Bands of Sentinel-2A Satellite for Classification Problems in Precision Agriculture 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 16-26
作者:  Tian-Xiang Zhang;  Jin-Ya Su;  Cun-Jia Liu;  Wen-Hua Chen
浏览  |  Adobe PDF(1123Kb)  |  收藏  |  浏览/下载：164/46  |  提交时间：2021/02/22
Sentinel-2A  remote sensing  image classification  supervised learning  precision agriculture.  
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：448/211  |  提交时间：2019/05/04
Inertial Measurement Unit (Imu)  Pedestrian Dead-reckoning  Indoor Navigation  Technical Route  General Framework