Enhancing references evapotranspiration forecasting with teleconnection indices and advanced machine learning techniques DOI Creative Commons

Jalil Helali,

Mehdi Mohammadi Ghaleni, Ameneh Mianabadi

et al.

Applied Water Science, Journal Year: 2024, Volume and Issue: 14(10)

Published: Sept. 14, 2024

Language: Английский

A hybrid time series and physics-informed machine learning framework to predict soil water content DOI
Amirsalar Bagheri, Andres Patrignani, Behzad Ghanbarian

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 144, P. 110105 - 110105

Published: Jan. 25, 2025

Language: Английский

Citations

2
Improving Reference Evapotranspiration Predictions with Hybrid Modeling Approach DOI
Rimsha Habeeb, Mohammed M. A. Almazah, Ijaz Hussain

et al.

Earth Systems and Environment, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 2, 2025

Language: Английский

Citations

1
Assessing salinity-induced impacts on plant transpiration through machine learning: from model development to deployment DOI
Niguss Solomon Hailegnaw,

Girma Worku Awoke,

Aline de Camargo Santos

et al.

Modeling Earth Systems and Environment, Journal Year: 2025, Volume and Issue: 11(3)

Published: March 13, 2025

Language: Английский

Citations

0
An Interpretable Hybrid TCN-BiLSTM Model for Reference Evapotranspiration Prediction DOI
Zehai Gao, Xiaojun Zhang, Zijun Gao

et al.

Water Resources Management, Journal Year: 2025, Volume and Issue: unknown

Published: April 22, 2025

Language: Английский

Citations

0
Correlation–based Reliability Index Equipped with Machine Learning Methods to Complete the Groundwater Level Gaps DOI Creative Commons
Seyed Hossein Hosseini, Ramtin Moeini

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104146 - 104146

Published: Jan. 1, 2025

Language: Английский

Citations

0
An optimized spatial target trajectory prediction model for multi-sensor data fusion in air traffic management DOI Creative Commons
Jian Dong, Yuan Xu, Rigeng Wu

et al.

Engineering Science and Technology an International Journal, Journal Year: 2025, Volume and Issue: 63, P. 101994 - 101994

Published: Feb. 13, 2025

Language: Английский

Citations

0
Enhancing the accuracy and generalizability of reference evapotranspiration forecasting in California using deep global learning DOI
Arman Ahmadi, André Daccache, Minxue He

et al.

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 59, P. 102339 - 102339

Published: March 26, 2025

Language: Английский

Citations

0
Dynamic optimization can effectively improve the accuracy of reference evapotranspiration in southern China DOI
Xiang Xiao, Ziniu Xiao, Xiaogang Liu

et al.

Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 230, P. 109881 - 109881

Published: Dec. 31, 2024

Language: Английский

Citations

2
Enhancing references evapotranspiration forecasting with teleconnection indices and advanced machine learning techniques DOI Creative Commons

Jalil Helali,

Mehdi Mohammadi Ghaleni, Ameneh Mianabadi

et al.

Applied Water Science, Journal Year: 2024, Volume and Issue: 14(10)

Published: Sept. 14, 2024

Language: Английский

Citations

0