Machine Intelligence in Signal Sensing, Processing, and Recognition

Jha [2] and Zhixin Yang [3] and Zhenbing Zhao [4] and Bhupendra Nath Tiwari [5] 1, College of Communication Engineering, Chongqing University, Chongqing, China, cqu.edu.cn 2, Chair of Mathematics, IT Fundamentals and Education Technologies Applications, University of Information Technology and Manag...

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Published in:Journal of electrical and computer engineering 2017-01, Vol.2017, p.1-2
Main Authors: Zhang, Lei, Jha, Sunil Kr, Yang, Zhixin, Zhao, Zhenbing, Tiwari, Bhupendra Nath
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Big Data
Fault diagnosis
Remote sensing
Researchers
Signal processing
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Summary:Jha [2] and Zhixin Yang [3] and Zhenbing Zhao [4] and Bhupendra Nath Tiwari [5] 1, College of Communication Engineering, Chongqing University, Chongqing, China, cqu.edu.cn 2, Chair of Mathematics, IT Fundamentals and Education Technologies Applications, University of Information Technology and Management in Rzeszow, Rzeszow, Poland 3, Faculty of Science and Technology, University of Macau, Taipa, Macau, umac.mo 4, North China Electric Power University, Baoding, China, ncepu.edu.cn 5, INFN-Laboratori Nazionali di Frascati, Rome, Italy Received Jul 25, 2017; Accepted Jul 25, 2017 This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. A number of researchers from different fields, such as computer vision, natural language processing, remote sensing, medical diagnosis, smart grid, and system control, have been attracted by the popular deep learning algorithms. In this special issue, novel treatments and applications of signal processing and machine learning algorithms have been explored in different fields, including speaker recognition, environmental data analysis, remote sensing data modeling, fault diagnosis, and computer vision.
ISSN:2090-0147
2090-0155
DOI:10.1155/2017/6168207