Crossmark

Comparative Analysis of Deep Learning and Machine Learning Models for Evapotranspiration Prediction in Semi-Arid Regions: Statistical Model Evaluation with a Paired t-Test and Bootstrap Resampling

Crossref DOI link: https://doi.org/10.1007/s11269-025-04411-3

Published Online: 2026-02-23

Published Print: 2026-03

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

Authors

Sumith, K. V. https://orcid.org/0009-0004-3569-0678
S, Bhavya
License Information

Text and Data Mining valid from 2026-02-23

Version of Record valid from 2026-02-23
More Information

Article History

Received: 19 June 2025

Accepted: 14 October 2025

First Online: 23 February 2026

Declarations

:

: Ethical approval was not necessary for this study, as it did not involve human participants or the use of animal data.

: Not applicable, as this study did not involve any human participants.

: Not applicable. This study does not include any individual data requiring consent for publication.

: The author declares no competing interests.

Document is current

Any future updates will be listed below