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A comprehensive review of artificial intelligence-based methods for predicting pan evaporation rate
This comprehensive study reviews the latest and most popular artificial intelligence (AI)
techniques utilised for estimating pan evaporation (Ep), an essential parameter for water …
techniques utilised for estimating pan evaporation (Ep), an essential parameter for water …
[HTML][HTML] Application of meta-heuristic hybrid models in estimating the average air temperature of Caspian sea coast of Iran
H Babaali, R Dehghani, F Dehghani - Environmental Challenges, 2024 - Elsevier
The rise of industrial societies leads to higher greenhouse gas emissions, profoundly
affecting the climate in coastal regions. Consequently, air temperature readings from …
affecting the climate in coastal regions. Consequently, air temperature readings from …
Using a random cross-validation technique to compare typical regression vs. Random Forests for modelling pan evaporation
Pan evaporation (Epan) of class A pan evaporimeter under local semi-arid conditions was
modelled in this study based on meteorological observations as input data using an …
modelled in this study based on meteorological observations as input data using an …
[PDF][PDF] Application of wavelet neural network in estimation of average air-temperature
R Dehghani, F Dehghani - Environmental Resources Research, 2022 - sid.ir
Forecasting average air-temperature is valuable in various fields including water resource
management, agriculture, etc. Airtemperature is also one of the input components for …
management, agriculture, etc. Airtemperature is also one of the input components for …
Forecasting hydrologic parameters using linear and nonlinear stochastic models
H Nozari, F Tavakoli - Journal of Water and Climate Change, 2020 - iwaponline.com
One of the most important bases in the management of catchments and sustainable use of
water resources is the prediction of hydrological parameters. In this study, support vector …
water resources is the prediction of hydrological parameters. In this study, support vector …
[PDF][PDF] Corrected Proof
H Nozari, F Tavakoli - academia.edu
One of the most important bases in the management of catchments and sustainable use of
water resources is the prediction of hydrological parameters. In this study, support vector …
water resources is the prediction of hydrological parameters. In this study, support vector …