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Ulsan Univ. Repository Journal Papers Engineering IT Convergence

Fault Diagnosis based on Extremely Randomized Trees in Wireless Sensor Networks

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Author(s): 구인수; Sana Ullah Jan; Umer Saeed; Young-Doo Lee

Issued Date: 2021

Type: Article

Keyword: Machine learning; Extremely Randomized Trees; Fault diagnosis; Classification; Wireless Sensor Networks

DOI: 10.1016/j.ress.2020.107284

URI: https://oak.ulsan.ac.kr/handle/2021.oak/12323

Publisher: RELIABILITY ENGINEERING & SYSTEM SAFETY

Language: 영어

ISSN: 0951-8320

Citation Volume: 205

Citation Number: 1

Citation Start Page: 107284

Citation End Page: 107284

Appears in Collections:: Engineering > IT Convergence

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Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

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