Pipeline Leak Detection: A Comprehensive Deep Learning Model Using CWT Image Analysis and an Optimized DBN-GA-LSSVM Framework.

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第一作者： Muhammad Farooq,Siddique

第一单位： Department of Electrical, Electronics and Computer Engineering, University of Ulsan, Ulsan 44610, Republic of Korea.

作者： Muhammad Farooq,Siddique ^[1] ; Zahoor,Ahmad ^[1] ; Niamat,Ullah ^[1] ; Saif,Ullah ^[1] ; Jong-Myon,Kim ^[1]

作者单位： Department of Electrical, Electronics and Computer Engineering, University of Ulsan, Ulsan 44610, Republic of Korea. ^[1] PD Technology Cooperation, Ulsan 44610, Republic of Korea. ^[2]

关键词 continuous wavelet transforms deep belief network genetic algorithm least squares support vector machine

DOI 10.3390/s24124009

PMID 38931793

发布时间 2024-06-29

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Sensors (Basel, Switzerland)

2024年24卷12期

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Pipeline Leak Detection: A Comprehensive Deep Learning Model Using CWT Image Analysis and an Optimized DBN-GA-LSSVM Framework.

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Pipeline Leak Detection: A Comprehensive Deep Learning Model Using CWT Image Analysis and an Optimized DBN-GA-LSSVM Framework.

Sensors (Basel, Switzerland)

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