Behzad Ghanbarian

According to our database, Behzad Ghanbarian authored at least 7 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A hybrid time series and physics-informed machine learning framework to predict soil water content.

Amirsalar Bagheri, Andres Patrignani, Behzad Ghanbarian, Davood Babaei Pourkargar

Eng. Appl. Artif. Intell., 2025

2024

Estimating hydrocarbon recovery factor at reservoir scale via machine learning: Database-dependent accuracy and reliability.

Alireza Roustazadeh, Behzad Ghanbarian, Mohammad B. Shadmand, Vahid Taslimitehrani, Larry W. Lake

Eng. Appl. Artif. Intell., 2024

A physics-informed machine learning approach to predict soil water content for agricultural decision-making.

Amirsalar Bagheri, Andres Patrignani, Behzad Ghanbarian, Davood Babaei Pourkargar

Proceedings of the American Control Conference, 2024

2022

Estimating oil recovery factor using machine learning: Applications of XGBoost classification.

Alireza Roustazadeh, Behzad Ghanbarian, Frank Male, Mohammad B. Shadmand, Vahid Taslimitehrani, Larry W. Lake

CoRR, 2022

Estimating oil and gas recovery factors via machine learning: Database-dependent accuracy and reliability.

Alireza Roustazadeh, Behzad Ghanbarian, Mohammad B. Shadmand, Vahid Taslimitehrani, Larry W. Lake

CoRR, 2022

2016

Scale-Dependent Pedotransfer Functions Reliability for Estimating Saturated Hydraulic Conductivity.

Behzad Ghanbarian, Vahid Taslimitehrani, Yakov A. Pachepsky

CoRR, 2016

2015

Measurement Scale Effect on Prediction of Soil Water Retention Curve and Saturated Hydraulic Conductivity.

Behzad Ghanbarian, Vahid Taslimitehrani, Guozhu Dong, Yakov A. Pachepsky

CoRR, 2015