M. Khoshravesh

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.

Whom M. Khoshravesh trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Mohammad Valipour

Who trusts M. Khoshravesh overall

  1. Guillermo Marcillo
  2. Fernando E. Miguez
  3. Mohammad Valipour

Papers from M. Khoshravesh's perspective

Ordered by how strongly the researchers M. Khoshravesh trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Estimating Evapotranspiration using Artificial Neural Network
  2. Comparison of Surface Irrigation Simulation Models: Full Hydrodynamic, Zero Inertia, Kinematic Wave
  3. Application of Bayesian Model Averaging Approach to Multimodel Ensemble Hydrologic Forecasting
  4. SVM, ANFIS, regression and climate based models for reference evapotranspiration modeling using limited climatic data in a semi-arid highland environment
  5. Sprinkle and Trickle Irrigation System Design Using Tapered Pipes for Pressure Loss Adjusting
  6. Optimization of neural networks for precipitation analysis in a humid region to detect drought and wet year alarms
  7. Bayesian multimodel estimation of global terrestrial latent heat flux from eddy covariance, meteorological, and satellite observations
  8. Comparison of the ARMA, ARIMA, and the autoregressive artificial neural network models in forecasting the monthly inflow of Dez dam reservoir
  9. Daily reservoir inflow forecasting using artificial neural networks with stopped training approach
  10. Artificial neural network technique for rainfall forecasting applied to the São Paulo region

Their papers