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A Hybrid Deep Learning Approach: Integrating Short-Time Fourier Transform and Continuous Wavelet Tra...

A Hybrid Deep Learning Approach: Integrating Short-Time Fourier Transform and Continuous Wavelet Tra...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f14bcd3a442b483da8df44c242574a76

A Hybrid Deep Learning Approach: Integrating Short-Time Fourier Transform and Continuous Wavelet Transform for Improved Pipeline Leak Detection

About this item

Full title

A Hybrid Deep Learning Approach: Integrating Short-Time Fourier Transform and Continuous Wavelet Transform for Improved Pipeline Leak Detection

Publisher

Basel: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2023-09, Vol.23 (19), p.8079

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

A hybrid deep learning approach was designed that combines deep learning with enhanced short-time Fourier transform (STFT) spectrograms and continuous wavelet transform (CWT) scalograms for pipeline leak detection. Such detection plays a crucial role in ensuring the safety and integrity of fluid transportation systems. The proposed model leverages...

Alternative Titles

Full title

A Hybrid Deep Learning Approach: Integrating Short-Time Fourier Transform and Continuous Wavelet Transform for Improved Pipeline Leak Detection

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_f14bcd3a442b483da8df44c242574a76

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f14bcd3a442b483da8df44c242574a76

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s23198079

How to access this item