Mohammad Ali Gholami Sefidkouhi
Applied Water Science · 2017
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.
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Papers from Mohammad Ali Gholami Sefidkouhi's perspective
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- Estimating Evapotranspiration using Artificial Neural Network
- Comparison of Surface Irrigation Simulation Models: Full Hydrodynamic, Zero Inertia, Kinematic Wave
- Application of Bayesian Model Averaging Approach to Multimodel Ensemble Hydrologic Forecasting
- SVM, ANFIS, regression and climate based models for reference evapotranspiration modeling using limited climatic data in a semi-arid highland environment
- Sprinkle and Trickle Irrigation System Design Using Tapered Pipes for Pressure Loss Adjusting
- Optimization of neural networks for precipitation analysis in a humid region to detect drought and wet year alarms
- Bayesian multimodel estimation of global terrestrial latent heat flux from eddy covariance, meteorological, and satellite observations
- Comparison of the ARMA, ARIMA, and the autoregressive artificial neural network models in forecasting the monthly inflow of Dez dam reservoir
- Artificial neural network technique for rainfall forecasting applied to the São Paulo region
- Estimating non-linear ARMA models using Fourier coefficients