Water quality prediction using LSTM with combined normalizer for efficient water management

Mahesh, N.; Babu, J. Jagan; Nithya, K.; Arunmozhi, S.A.

doi:10.1016/j.dwt.2024.100183

Desalination and Water Treatment

2024

DOI: 10.1016/j.dwt.2024.100183

|View full text |Cite

Water quality prediction using LSTM with combined normalizer for efficient water management

N. Mahesh,

J. Jagan Babu,

K. Nithya

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article5

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 6 publications

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

An intelligent deep learning-based approach for downscaling atmospheric general circulation model outputs

Kheyruri,

Teymourkhani,

Neshat

et al. 2024

Acta Geophys.

View full text Add to dashboard Cite

An intelligent deep learning-based approach for downscaling atmospheric general circulation model outputs

Kheyruri,

Teymourkhani,

Neshat

et al. 2024

Acta Geophys.

View full text Add to dashboard Cite

Advanced Remote Sensing and Generative Models for Comprehensive Water Quality Management in a Changing Climate

Thopanaiah,

Gireesh Babu C N,

Gurani

et al. 2024

Remote Sens Earth Syst Sci

View full text Add to dashboard Cite

Molecular characterization and human health risk assessment of multi-drug and heavy metals tolerant bacteria from urban river water

Kabir,

Maleha,

Hossain

et al. 2024

Desalination and Water Treatment

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Water quality prediction using LSTM with combined normalizer for efficient water management

Cited by 6 publications

References 32 publications

An intelligent deep learning-based approach for downscaling atmospheric general circulation model outputs

An intelligent deep learning-based approach for downscaling atmospheric general circulation model outputs

Advanced Remote Sensing and Generative Models for Comprehensive Water Quality Management in a Changing Climate

Molecular characterization and human health risk assessment of multi-drug and heavy metals tolerant bacteria from urban river water

Contact Info

Product

Resources

About