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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
浏览  |  Adobe PDF(891Kb)  |  收藏  |  浏览/下载：217/62  |  提交时间：2021/02/22
Feature engineering  sensor data analysis  Internet of things (IoT) analytics  interpretable learning  automation.  
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：164/44  |  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.  
Synthesizing Robot Programs with Interactive Tutor Mode 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 462-474
作者:  Hao Li;  Yu-Ping Wang;  Tai-Jiang Mu
浏览  |  Adobe PDF(1023Kb)  |  收藏  |  浏览/下载：143/57  |  提交时间：2021/02/22
Human-robot interaction  semantic parsing  program synthesis  intelligent robotic systems  natural language understanding.  
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
浏览  |  Adobe PDF(1389Kb)  |  收藏  |  浏览/下载：137/35  |  提交时间：2021/02/22
Image super-resolution  convolutional neural network  high-resolution image  low-resolution image  deep learning.