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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
Adobe PDF(891Kb)  |  收藏  |  浏览/下载:175/53  |  提交时间:2021/02/22
Feature engineering  sensor data analysis  Internet of things (IoT) analytics  interpretable learning  automation.  
Type Synthesis and Kinematics Performance Analysis of a Class of 3T2R Parallel Mechanisms with Large Output Rotational Angles 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 775-785
作者:  Bing-Shan Jiang;  Hai-Rong Fang;  Hai-Qiang Zhang
Adobe PDF(10106Kb)  |  收藏  |  浏览/下载:119/36  |  提交时间:2021/02/22
Type synthesis  Lie group theory  configuration evolution  kinematics  performance evaluation.  
Multi-objective Dimensional Optimization of a 3-DOF Translational PKM Considering Transmission Properties 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 748-760
作者:  Song Lu;  Yang-Min Li;  Bing-Xiao Ding
Adobe PDF(19413Kb)  |  收藏  |  浏览/下载:123/31  |  提交时间:2021/02/22
Multi-objective optimization  parallel kinematic manipulator  transmission property  non-dominated sorting genetic algorithm (NSGA II).  
Transfer Hierarchical Attention Network for Generative Dialog System 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 720-736
作者:  Xiang Zhang;  Qiang Yang
浏览  |  Adobe PDF(1145Kb)  |  收藏  |  浏览/下载:84/28  |  提交时间:2021/02/22
Dialog system  transfer learning  deep learning  natural language processing (NLP)  artificial intelligence.  
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.  
Predictive Adaptive Kalman Filter and Its Application to INS/UWB-integrated Human Localization with Missing UWB-based Measurements 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 604-613
作者:  Yuan Xu;  Tao Shen;  Xi-Yuan Chen;  Li-Li Bu;  Ning Feng
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Indoor human localization  tightly-coupled model  predictive filtering  Kalman filter  missing data.  
Multi-source Remote Sensing Image Registration Based on Contourlet Transform and Multiple Feature Fusion 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 575-588
作者:  Huan Liu;  Gen-Fu Xiao;  Yun-Lan Tan;  Chun-Juan Ouyang
浏览  |  Adobe PDF(2216Kb)  |  收藏  |  浏览/下载:142/39  |  提交时间:2021/02/22
Feature fusion  multi-scale circle Gaussian combined invariant moment  multi-direction gray level co-occurrence matrix  multi-source remote sensing image registration  contourlet transform.  
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
Adobe PDF(1389Kb)  |  收藏  |  浏览/下载:121/31  |  提交时间:2021/02/22
Image super-resolution  convolutional neural network  high-resolution image  low-resolution image  deep learning.  
Energy Guarantee Scheme for Real-time Systems with Energy Harvesting Constraints 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 354-368
作者:  Hussein El Ghor;  Maryline Chetto
浏览  |  Adobe PDF(1150Kb)  |  收藏  |  浏览/下载:194/104  |  提交时间:2021/02/22
Real-time systems  energy harvesting  embedded systems  power management  dynamic voltage and frequency selection (DVFS)  ED-H scheduler.  
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
Adobe PDF(932Kb)  |  收藏  |  浏览/下载:162/53  |  提交时间:2021/02/22
Emergency supply chain  Rough set  House of quality  management indicators  attribute reduction.