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Learning Deep RGBT Representations for Robust Person Re-identification 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 443-456
作者:  Ai-Hua Zheng;  Zi-Han Chen;  Cheng-Long Li;  Jin Tang;  Bin Luo
Adobe PDF(1832Kb)  |  收藏  |  浏览/下载：280/60  |  提交时间：2021/05/24
Person re-identification (Re-ID)  thermal infrared  generative networks  attention  deep learning  
Humans and Robots: A Mutually Inclusive Relationship in a Contagious World 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 185-203
作者:  Akash Gupta;  Anshuman Singh;  Deepak Bharadwaj;  Amit Kumar Mondal
Adobe PDF(1295Kb)  |  收藏  |  浏览/下载：224/59  |  提交时间：2021/04/22
COVID-19  coronavirus  telepresence  delivery robots  medical robots  
A Selective Attention Guided Initiative Semantic Cognition Algorithm for Service Robot 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 5, 页码: 559-569
作者:  Huan-Zhao Chen;  Guo-Hui Tian;  Guo-Liang Liu
Adobe PDF(1069Kb)  |  收藏  |  浏览/下载：130/52  |  提交时间：2021/02/23
Service robot  cognition computing  selective attention  semantic knowledge base  artificial neural network.  
Machining Robot with Vibrational Motion and 3D Printer-like Data Interface 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 1, 页码: 1-12
作者:  Fusaomi Nagata;  Keigo Watanabe;  Maki K. Habib
浏览  |  Adobe PDF(2591Kb)  |  收藏  |  浏览/下载：117/40  |  提交时间：2021/02/23
Computer integrated manufacturing  machining robot  computer aided design (CAD)/computer-aided manufacturing (CAM)  cutter location (CL) data  vibrational motion  stereolithography (STL) data  preprocessor  3 dimensional (3D) printer-like data interface.  
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：211/61  |  提交时间：2021/02/22
Feature engineering  sensor data analysis  Internet of things (IoT) analytics  interpretable learning  automation.  
An Advanced Analysis System for Identifying Alcoholic Brain State Through EEG Signals 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 737-747
作者:  Siuly Siuly;  Varun Bajaj;  Abdulkadir Sengur;  Yanchun Zhang
浏览  |  Adobe PDF(4171Kb)  |  收藏  |  浏览/下载：158/53  |  提交时间：2021/02/22
Electroencephalogram (EEG)  alcoholism  optimum allocation technique  feature extraction  decision table.  
Key Crowdsourcing Technologies for Product Design and Development 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 1-15
作者:  Xiao-Jing Niu;  Sheng-Feng Qin;  John Vines;  Rose Wong;  Hui Lu
浏览  |  Adobe PDF(997Kb)  |  收藏  |  浏览/下载：198/55  |  提交时间：2021/02/22
Crowdsourcing technologies  product design and development (PDD)  communication  information sharing  design evaluation  feedback.  
Hidden Markov Model Approach for Software Reliability Estimation with Logic Error 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 305-320
作者:  R. Bharathi;  R. Selvarani
浏览  |  Adobe PDF(1248Kb)  |  收藏  |  浏览/下载：197/70  |  提交时间：2021/02/22
Hidden Markov model (HMM)  reliability  logic error  safety critical  software failure.  
Localization and Classification of Rice-grain Images Using Region Proposals-based Convolutional Neural Network 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 233-246
作者:  Kittinun Aukkapinyo;  Suchakree Sawangwong;  Parintorn Pooyoi;  Worapan Kusakunniran
浏览  |  Adobe PDF(1162Kb)  |  收藏  |  浏览/下载：208/60  |  提交时间：2021/02/22
Mask region-based convolutional neural networks (R-CNN)  computer vision  deep learning  rice grain classification  transfer learning.  
Electronic Nose and Its Applications: A Survey 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 179-209
作者:  Diclehan Karakaya;  Oguzhan Ulucan;  Mehmet Turkan
浏览  |  Adobe PDF(1365Kb)  |  收藏  |  浏览/下载：192/37  |  提交时间：2021/02/22
Artificial intelligence  machine learning  pattern recognition  electronic nose (EN)  sensors technology.