An optimized machine learning technology scheme and its application in fault detection in wireless sensor networks-Reference-Cited by-同舟云学术

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An optimized machine learning technology scheme and its application in fault detection in wireless sensor networks

Published:2021-05-26 Issue: Volume: Page:1-18
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Fan Fang¹^ORCID,Chu Shu-Chuan¹,Pan Jeng-Shyang¹^ORCID,Lin Chuang²,Zhao Huiqi³

Affiliation:

1. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, People’s Republic of China

2. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, People’s Republic of China

3. College of Intelligent Equipment, Shandong University of Science and Technology, Taian, People’s Republic of China

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2021.1929089

Reference45 articles.

1. E. Chang, V. Potdar, and A. Sharif, Wireless sensor networks: a survey, in 2013 27th International Conference on Advanced Information Networking and Applications Workshops, IEEE, Bradford, 2009, pp. 636–641.

2. An Arrival Time Prediction Method for Bus System

3. S.C. Chu, P.W. Tsai, and J.S. Pan, Cat swarm optimization, in PRICAI 2006: Trends in Artificial Intelligence, Vol. 4099. IEEE, Berlin, 2006, pp. 854–858.

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