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A hypergrid based adaptive learning method for detecting data faults in wireless sensor networks

journal contribution

posted on 2021-04-01, 00:00 authored by L Chen, G Li, Guangyan HuangGuangyan Huang

A hypergrid based adaptive learning method for detecting data faults in wireless sensor networks

History

Journal

Information sciences

Volume

553

Pagination

49 - 65

Publisher

Elsevier

Location

Amsterdam, The Netherlands

Publisher DOI

https://doi.org/10.1016/j.ins.2020.12.011

ISSN

0020-0255

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

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Keywords

Wireless sensor networks Data faults\/anomalies Hypergrid Lazy learning Continuous learning Science & Technology Technology Computer Science, Information Systems Computer Science DISTRIBUTED ANOMALY DETECTION OUTLIER DETECTION

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All Rights Reserved

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