Forecasting Daily Flood Water Level Using Hybrid Advanced Machine Learning Based Time-Varying Filtered Empirical Mode Decomposition Approach

Jamei, M; Ali, M; Malik, A; Prasad, R; Abdulla, S; Yaseen, ZM

File(s) under permanent embargo

Forecasting Daily Flood Water Level Using Hybrid Advanced Machine Learning Based Time-Varying Filtered Empirical Mode Decomposition Approach

Version 2 2024-06-02, 14:36

Version 1 2022-09-29, 08:30

journal contribution

posted on 2024-06-02, 14:36 authored by M Jamei, M Ali, A Malik, R Prasad, S Abdulla, ZM Yaseen

Forecasting Daily Flood Water Level Using Hybrid Advanced Machine Learning Based Time-Varying Filtered Empirical Mode Decomposition Approach

History

Journal

Water Resources Management

Volume

36

Pagination

4637-4676

Publisher DOI

https://doi.org/10.1007/s11269-022-03270-6

ISSN

0920-4741

eISSN

1573-1650

Language

eng

Author URL

https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000834731600006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

Publication classification

C1 Refereed article in a scholarly journal

Publisher

SPRINGER

Publication URL

http://doi.org/10.1007/s11269-022-03270-6

Usage metrics

Licence

Exports

RefWorks

BibTeX

Ref. manager

Endnote

DataCite

NLM

DC

File(s) under permanent embargo

Forecasting Daily Flood Water Level Using Hybrid Advanced Machine Learning Based Time-Varying Filtered Empirical Mode Decomposition Approach

History

Journal

Volume

Pagination

Publisher DOI

ISSN

eISSN

Language

Author URL

Publication classification

Publisher

Publication URL

Usage metrics

Categories

Keywords

Licence

Exports