Mahzad Esmaeili‐Falak

Predicting Triaxial Compressive Strength and Young’s Modulus of Frozen Sand Using Artificial Intelligence Methods

Mahzad Esmaeili‐Falak, Hooshang Katebi, Meysam Vadiati et al. · Journal of Cold Regions Engineering · 2019 · 126 citations

Rock Testing, Pavement Engineering, Triaxial Compressive Strength +19

Predicting resilient modulus of flexible pavement foundation using extreme gradient boosting based optimised models

Reza Sarkhani Benemaran, Mahzad Esmaeili‐Falak, Akbar A. Javadi · International Journal of Pavement Engineering · 2022 · 97 citations · Full text

Search Optimization, Highway Pavement, Pavement Engineering +19

A new approach to modeling the behavior of frozen soils

Ali Nassr, Mahzad Esmaeili‐Falak, Hooshang Katebi et al. · Engineering Geology · 2018 · 83 citations · Full text

Geotechnical Engineering, Freeze-thaw Cycling, Engineering +6

Application of optimization‐based regression analysis for evaluation of frost durability of recycled aggregate concrete

Mahzad Esmaeili‐Falak, Reza Sarkhani Benemaran · Structural Concrete · 2024 · 80 citations

Pavement Engineering, Engineering, Optimization‐based Regression Analysis +18

Ensemble Extreme Gradient Boosting based models to predict the bearing capacity of micropile group

Mahzad Esmaeili‐Falak, Reza Sarkhani Benemaran · Applied Ocean Research · 2024 · 79 citations

Engineering, Machine Learning, Data Science +7