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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：232/76  |  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：235/65  |  提交时间：2021/02/22
Feature engineering  sensor data analysis  Internet of things (IoT) analytics  interpretable learning  automation.  
Experimental Evaluation of Certain Pursuit and Evasion Schemes for Wheeled Mobile Robots 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 491-510
作者:  Amit Kumar;  Aparajita Ojha
浏览  |  Adobe PDF(1548Kb)  |  收藏  |  浏览/下载：132/52  |  提交时间：2021/02/22
Pursuit-evasion  wheeled mobile robot  proportional navigation  trajectory planning  target interception.  
Deep Learning Based Single Image Super-resolution: A Survey 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 413-426
作者:  Viet Khanh Ha;  Jin-Chang Ren;  Xin-Ying Xu;  Sophia Zhao;  Gang Xie;  Valentin Masero;  Amir Hussain
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Image super-resolution  convolutional neural network  high-resolution image  low-resolution image  deep learning.  
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：181/46  |  提交时间：2021/02/22
Feature fusion  mild difficulty in falling asleep (MDFA)  decision support tool  sleep issues  optimal feature set.  
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：155/58  |  提交时间：2021/02/22
Opinion dynamics  social networks  influence networks  agent-based models  multi-agent systems  networked systems.