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An In-Depth Analysis of Approaches for Forecasting Extreme Rainfall Events Leveraging Artificial Intelligence, Machine Learning, and Deep Learning Techniques

Crossref DOI link: https://doi.org/10.1007/s41748-025-00813-w

Published Online: 2025-09-20

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

Authors

Afandi, Gamal El https://orcid.org/0000-0002-5235-026X
Moustafa, Amira

Ibrahim, Salem

Irfan, Muhammad
License Information

Text and Data Mining valid from 2025-09-20

Version of Record valid from 2025-09-20
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Article History

Received: 24 June 2025

Revised: 3 September 2025

Accepted: 9 September 2025

First Online: 20 September 2025

Declarations

:

: The authors wish to clarify that they have no recognized financial interests or personal relationships that could potentially bias or influence the findings and conclusions presented in this manuscript. They affirm their commitment to transparency and integrity in their research.

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