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Using machine learning architecture to optimize and model the treatment process for saline water lev...

Using machine learning architecture to optimize and model the treatment process for saline water lev...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d9022da6b79f417ca9400f8ebe30821c

Using machine learning architecture to optimize and model the treatment process for saline water level analysis

About this item

Full title

Using machine learning architecture to optimize and model the treatment process for saline water level analysis

Publisher

IWA Publishing

Journal title

Journal of water reuse and desalination, 2023-03, Vol.13 (1), p.51-67

Language

English

Formats

Publication information

Publisher

IWA Publishing

More information

Scope and Contents

Contents

Water is a vital resource that makes it possible for human life forms to exist. The need for freshwater consumption has significantly increased in recent years. Seawater treatment facilities are less dependable and efficient. Deep learning systems have the potential to increase the efficiency as well as the accuracy of salt particle analysis in sal...

Alternative Titles

Full title

Using machine learning architecture to optimize and model the treatment process for saline water level analysis

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_d9022da6b79f417ca9400f8ebe30821c

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d9022da6b79f417ca9400f8ebe30821c

Other Identifiers

ISSN

2220-1319

E-ISSN

2408-9370

DOI

10.2166/wrd.2022.069

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