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Improving the visualization of rainfall trends using various innovative trend methodologies with time–frequency-based methods

Crossref DOI link: https://doi.org/10.1007/s13201-022-01722-3

Published Online: 2022-08-02

Published Print: 2022-09

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

Authors

Zerouali, Bilel https://orcid.org/0000-0003-4735-9750
Elbeltagi, Ahmed https://orcid.org/0000-0002-5506-9502
Al-Ansari, Nadhir https://orcid.org/0000-0002-6790-2653
Abda, Zaki https://orcid.org/0000-0002-4291-6055
Chettih, Mohamed https://orcid.org/0000-0001-6814-1828
Santos, Celso Augusto Guimarães https://orcid.org/0000-0001-7927-9718
Boukhari, Sofiane https://orcid.org/0000-0002-4930-6786
Araibia, Ahmed Salah
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Text and Data Mining valid from 2022-08-02

Version of Record valid from 2022-08-02
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Article History

Received: 12 April 2022

Accepted: 13 June 2022

First Online: 2 August 2022

Declarations

:

: On behalf of all authors, the corresponding author states that there is no conflict of interest.