Mohammad Zeynoddin

Discussion of “Comparative assessment of time series and artificial intelligence models to estimate monthly streamflow: A local and external data analysis approach” by Saeid Mehdizadeh, Farshad Fathian, Mir Jafar Sadegh Safari and Jan F. Adamowski

Hossein Bonakdari, Isa Ebtehaj, Mohammad Zeynoddin, 2020 .

Development of a linear based stochastic model for daily soil temperature prediction: One step forward to sustainable agriculture

Hossein Bonakdari, Isa Ebtehaj, Mohammad Zeynoddin, 2020, Comput. Electron. Agric..

Reliable method of determining stable threshold channel shape using experimental and gene expression programming techniques

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2019, Neural Computing and Applications.

Evaluation of preprocessing techniques for improving the accuracy of stochastic rainfall forecast models

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2019, International Journal of Environmental Science and Technology.

Novel hybrid linear stochastic with non-linear extreme learning machine methods for forecasting monthly rainfall a tropical climate.

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2018, Journal of environmental management.

Lake Surface Area Forecasting Using Integrated Satellite-SARIMA-Long-Short-Term Memory Model

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2021 .

New insights into soil temperature time series modeling: linear or nonlinear?

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2019, Theoretical and Applied Climatology.

A reliable linear stochastic daily soil temperature forecast model

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2019, Soil and Tillage Research.

Predicting wastewater treatment plant quality parameters using a novel hybrid linear-nonlinear methodology.

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2019, Journal of environmental management.