S. Mehdizadeh

发表

Comparison of artificial intelligence methods and empirical equations to estimate daily solar radiation

Saeid Mehdizadeh, Javad Behmanesh, Keivan Khalili, 2016 .

Developing novel hybrid models for estimation of daily soil temperature at various depths

Mir Jafar Sadegh Safari, Ali Khosravi, Saeid Mehdizadeh, 2020 .

Modeling daily reference evapotranspiration via a novel approach based on support vector regression coupled with whale optimization algorithm

S. Mehdizadeh, B. Mohammadi, 2020, Agricultural Water Management.

Estimation of soil temperature using gene expression programming and artificial neural networks in a semiarid region

J. Behmanesh, S. Mehdizadeh, 2017, Environmental Earth Sciences.

Comparative assessment of time series and artificial intelligence models to estimate monthly streamflow: A local and external data analysis approach

Jan Adamowski, Mir Jafar Sadegh Safari, Saeid Mehdizadeh, 2019 .

Using AR, MA, and ARMA Time Series Models to Improve the Performance of MARS and KNN Approaches in Monthly Precipitation Modeling under Limited Climatic Data

Saeid Mehdizadeh, S. Mehdizadeh, 2020 .

A Comparative Study of Autoregressive, Autoregressive Moving Average, Gene Expression Programming and Bayesian Networks for Estimating Monthly Streamflow

Saeid Mehdizadeh, Ali Kozekalani Sales, S. Mehdizadeh, 2018, Water Resources Management.

A comparison of monthly precipitation point estimates at 6 locations in Iran using integration of soft computing methods and GARCH time series model

Saeid Mehdizadeh, Javad Behmanesh, Keivan Khalili, 2017 .

Comprehensive modeling of monthly mean soil temperature using multivariate adaptive regression splines and support vector machine

Saeid Mehdizadeh, Javad Behmanesh, Keivan Khalili, 2018, Theoretical and Applied Climatology.

Estimation of daily reference evapotranspiration (ETo) using artificial intelligence methods: Offering a new approach for lagged ETo data-based modeling

Saeid Mehdizadeh, S. Mehdizadeh, 2018 .

Modelling daily soil temperature at different depths via the classical and hybrid models

S. Mehdizadeh, F. Ahmadi, Ali Kozekalani Sales, 2020, Meteorological Applications.

Experimental investigation of discharge coefficient over novel kind of sharp-crested V-notch weir

J. Behmanesh, S. Mehdizadeh, Amin Gharehbaghi, 2017 .

Establishing Coupled Models for Estimating Daily Dew Point Temperature Using Nature-Inspired Optimization Algorithms

S. Mehdizadeh, F. Ahmadi, B. Mohammadi, 2022, Hydrology.

Three dimensional flow simulation over a sharp-crested V-Notch weir

S. Mehdizadeh, Babak Vaheddoost, Amin Gharehbaghi, 2020 .

Improving the performance of random forest for estimating monthly reservoir inflow via complete ensemble empirical mode decomposition and wavelet analysis

S. Mehdizadeh, F. Ahmadi, V. Nourani, 2022, Stochastic Environmental Research and Risk Assessment.

Development of wavelet-based hybrid models to enhance daily soil temperature modeling: application of entropy and τ-Kendall pre-processing techniques

S. Mehdizadeh, F. Ahmadi, Ali Kouzehkalani Sales, 2022, Stochastic Environmental Research and Risk Assessment.

Drought modeling using classic time series and hybrid wavelet-gene expression programming models

Mir Jafar Sadegh Safari, Ali Danandeh Mehr, Saeid Mehdizadeh, 2020 .

Estimating the short-term and long-term wind speeds: implementing hybrid models through coupling machine learning and linear time series models

S. Mehdizadeh, M. Safari, Ali Kozekalani Sales, 2020, SN Applied Sciences.

Using MARS, SVM, GEP and empirical equations for estimation of monthly mean reference evapotranspiration

Saeid Mehdizadeh, Javad Behmanesh, Keivan Khalili, 2017, Comput. Electron. Agric..

Hybrid models to improve the monthly river flow prediction: Integrating artificial intelligence and non-linear time series models

Mir Jafar Sadegh Safari, Farshad Fathian, Saeid Mehdizadeh, 2019, Journal of Hydrology.

Developing hybrid time series and artificial intelligence models for estimating air temperatures

Q. Pham, N. T. Linh, S. Mehdizadeh, 2020, Stochastic Environmental Research and Risk Assessment.

Hybrid artificial intelligence-time series models for monthly streamflow modeling

Jan Adamowski, Saeid Mehdizadeh, Farshad Fathian, 2019, Appl. Soft Comput..

A novel hybrid dragonfly optimization algorithm for agricultural drought prediction

Z. Duan, S. Mehdizadeh, Pouya Aghelpour, 2021, Stochastic Environmental Research and Risk Assessment.

Application of an artificial intelligence technique enhanced with intelligent water drops for monthly reference evapotranspiration estimation

Quoc Bao Pham, Saeid Mehdizadeh, Ngoc Duong Vo, 2021, Agricultural Water Management.

Developing Novel Robust Models to Improve the Accuracy of Daily Streamflow Modeling

Nguyen Thi Thuy Linh, Quoc Bao Pham, Babak Mohammadi, 2020, Water Resources Management.

Implementing novel hybrid models to improve indirect measurement of the daily soil temperature: Elman neural network coupled with gravitational search algorithm and ant colony optimization

Nguyen Thi Thuy Linh, Quoc Bao Pham, Dao Nguyen Khoi, 2020 .

Calibration of Hargreaves–Samani and Priestley–Taylor equations in estimating reference evapotranspiration in the Northwest of Iran

Saeid Mehdizadeh, Javad Behmanesh, J. Behmanesh, 2017 .

Evaluating the performance of artificial intelligence methods for estimation of monthly mean soil temperature without using meteorological data

Saeid Mehdizadeh, Javad Behmanesh, Keivan Khalili, 2017, Environmental Earth Sciences.

Development of Boosted Machine Learning Models for Estimating Daily Reference Evapotranspiration and Comparison with Empirical Approaches

Z. Duan, Q. Pham, S. Mehdizadeh, 2021, Water.

Development of Bio-Inspired- and Wavelet-Based Hybrid Models for Reconnaissance Drought Index Modeling

S. Mehdizadeh, F. Ahmadi, B. Mohammadi, 2021, Water Resources Management.

Assessing the potential of data-driven models for estimation of long-term monthly temperatures

Saeid Mehdizadeh, S. Mehdizadeh, 2018, Comput. Electron. Agric..