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A novel combined model for prediction of daily precipitation data using instantaneous frequency feature and bidirectional long short time memory networks

Crossref DOI link: https://doi.org/10.1007/s11356-022-18874-z

Published Online: 2022-01-29

Published Print: 2022-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Latifoğlu, Levent https://orcid.org/0000-0002-2837-3306
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Text and Data Mining valid from 2022-01-29

Version of Record valid from 2022-01-29
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Article History

Received: 20 May 2021

Accepted: 21 January 2022

First Online: 29 January 2022

Declarations

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: Ethical approval is no need for approval.

: This article accepted by all authors.

: For this article, publishing approval has been given.

: The author declares no competing interests.

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