Works matching AU Behnood, Ali

Results: 11

Estimation of the compressive strength of green concretes containing rice husk ash: a comparison of different machine learning approaches.

Published in:

European Journal of Environmental & Civil Engineering, 2023, v. 27, n. 2, p. 961, doi. 10.1080/19648189.2022.2068657

By:

Tavana Amlashi, Amir;
Mohammadi Golafshani, Emadaldin;
Ebrahimi, Seyed Abolfazl;
Behnood, Ali

Publication type:

Article

Prediction of moisture susceptibility of asphalt mixtures containing RAP materials using machine learning algorithms.

Published in:

International Journal of Pavement Engineering, 2024, v. 25, n. 1, p. 1, doi. 10.1080/10298436.2024.2431610

By:

Afshin, Abolfazl;
Behnood, Ali

Publication type:

Article

Estimation of the dynamic modulus of asphalt concretes using random forests algorithm.

Published in:

International Journal of Pavement Engineering, 2022, v. 23, n. 2, p. 250, doi. 10.1080/10298436.2020.1741587

By:

Daneshvar, Dana;
Behnood, Ali

Publication type:

Article

Toward presenting an ensemble meta‐model for evaluation of pozzolanic mixtures incorporating industrial by‐products.

Published in:

Structural Concrete, 2024, v. 25, n. 2, p. 1305, doi. 10.1002/suco.202300452

By:

Ashrafian, Ali;
Behnood, Ali;
Golafshani, Emadaldin Mohammadi;
Panahi, Elahe;
Berenjian, Javad

Publication type:

Article

Compressive strength prediction of sustainable concrete containing waste foundry sand using metaheuristic optimization‐based hybrid artificial neural network.

Published in:

Structural Concrete, 2024, v. 25, n. 2, p. 1343, doi. 10.1002/suco.202300313

By:

Kazemi, Ramin;
Golafshani, Emadaldin Mohammadi;
Behnood, Ali

Publication type:

Article

Predicting the compressive strength of self‐compacting concrete containing Class F fly ash using metaheuristic radial basis function neural network.

Published in:

Structural Concrete, 2022, v. 23, n. 2, p. 1191, doi. 10.1002/suco.202000047

By:

Pazouki, Gholamreza;
Golafshani, Emadaldin Mohammadi;
Behnood, Ali

Publication type:

Article

Predicting the compressive strength of eco-friendly and normal concretes using hybridized fuzzy inference system and particle swarm optimization algorithm.

Published in:

Artificial Intelligence Review, 2023, v. 56, n. 8, p. 7965, doi. 10.1007/s10462-022-10373-4

By:

Golafshani, Emadaldin Mohammadi;
Behnood, Ali;
Arashpour, Mehrdad

Publication type:

Article

How COVID-19 transformed the landscape of transportation research: an integrative scoping review and roadmap for future research.

Published in:

Transportation Letters, 2024, v. 16, n. 1, p. 43, doi. 10.1080/19427867.2022.2160294

By:

Haghani, Milad;
Merkert, Rico;
Behnood, Ali;
De Gruyter, Chris;
Kazemzadeh, Khashayar;
Ghaderi, Hadi;
Shahhoseini, Zahra;
Thai, Vinh;
Irannezhad, Elnaz;
Fahimnia, Behnam;
Waller, S Travis;
Hensher, David A

Publication type:

Article

Review of Corrosion Inhibitors in Reinforced Concrete: Conventional and Green Materials.

Published in:

Buildings (2075-5309), 2023, v. 13, n. 5, p. 1170, doi. 10.3390/buildings13051170

By:

Zomorodian, Amir;
Behnood, Ali

Publication type:

Article

Rheological, physicochemical, and microstructural properties of asphalt binder modified by fumed silica nanoparticles.

Published in:

Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-90620-w

By:

Cheraghian, Goshtasp;
Wistuba, Michael P.;
Kiani, Sajad;
Barron, Andrew R.;
Behnood, Ali

Publication type:

Article

The effects of drug and alcohol consumption on driver injury severities in single-vehicle crashes.

Published in:

2017

By:

Behnood, Ali;
Mannering, Fred L.

Publication type:

journal article