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An Adaptive Parameter Optimization Deep Learning Model for Energetic Liquid Vision Recognition Based...

An Adaptive Parameter Optimization Deep Learning Model for Energetic Liquid Vision Recognition Based...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9b7d1ff5618d40a2a1d88744d731a3f0

An Adaptive Parameter Optimization Deep Learning Model for Energetic Liquid Vision Recognition Based on Feedback Mechanism

About this item

Full title

An Adaptive Parameter Optimization Deep Learning Model for Energetic Liquid Vision Recognition Based on Feedback Mechanism

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2024-10, Vol.24 (20), p.6733

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

The precise detection of liquid flow and viscosity is a crucial challenge in industrial processes and environmental monitoring due to the variety of liquid samples and the complex reflective properties of energetic liquids. Traditional methods often struggle to maintain accuracy under such conditions. This study addresses the complexity arising fro...

Alternative Titles

Full title

An Adaptive Parameter Optimization Deep Learning Model for Energetic Liquid Vision Recognition Based on Feedback Mechanism

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_9b7d1ff5618d40a2a1d88744d731a3f0

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9b7d1ff5618d40a2a1d88744d731a3f0

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s24206733

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