Detecting anomalies and de-noising monitoring data from sensors: A smart data approach-Reference-Cited by-同舟云学术

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Detecting anomalies and de-noising monitoring data from sensors: A smart data approach

Published:2023-01 Issue: Volume:55 Page:101870
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Fang Weili,Shao Yixiao,Love Peter E.D.,Hartmann Timo,Liu Wenli

Funder

National Natural Science Foundation of China

Horizon 2020

Alexander von Humboldt-Stiftung

Horizon 2020 Framework Programme

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems,Building and Construction

Reference67 articles.

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2. A survey of network anomaly detection techniques;Ahmed;J. Netw. Comput. Appl.,2016

3. EMG signal filtering is based on empirical mode decomposition;Andrade;Biomed. Signal Process. Control,2006

4. Denoising of surface EMG with a modified Wiener filtering approach;Aschero;J. Electromyogr. Kinesiol.,2010

5. Sensor-based safety management;Asadzadeh;Autom. Constr.,2020

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