Automated actual evapotranspiration estimation: Hybrid model of a novel attention based U-Net and metaheuristic optimization algorithms-Reference-Cited by-同舟云学术

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Automated actual evapotranspiration estimation: Hybrid model of a novel attention based U-Net and metaheuristic optimization algorithms

Published:2024-01 Issue: Volume:297 Page:107107
ISSN:0169-8095
Container-title:Atmospheric Research
language:en
Short-container-title:Atmospheric Research

Author:

Bafti Alireza Ghaderi,Ahmadi Arman,Abbasi Ali,Kamangir Hamid,Jamali Sadegh,Hashemi Hossein

Funder

Lunds Universitet

Publisher

Elsevier BV

Subject

Atmospheric Science

Reference67 articles.

1. Evaporation and Evapotranspiration: Measurements and Estimations;Abtew,2013

2. Meteorological driving forces of reference evapotranspiration and their trends in California;Ahmadi;Sci. Total Environ.,2022

3. A novel attention-based LSTM cell post-processor coupled with bayesian optimization for streamflow prediction;Alizadeh;J. Hydrol.,2021

4. Ecosystem evapotranspiration: challenges in measurements, estimates, and modeling;Amatya;Trans. ASABE,2016

5. Deep semantic segmentation of natural and medical images: a review;Asgari Taghanaki;Artif. Intell. Rev.,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Estimating crop evapotranspiration of wheat-maize rotation system using hybrid convolutional bidirectional Long Short-Term Memory network with grey wolf algorithm in Chinese Loess Plateau region;Agricultural Water Management;2024-08

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