Automatic regression methods for formulation of elastic modulus of recycled aggregate concrete. - Emadaldin Mohammadi Golafshani; Ali Behnood (Appl. Soft Comput., 2018)

3D point cloud data processing with machine learning for construction and infrastructure applications: A comprehensive review. - Kaveh Mirzaei; Mehrdad Arashpour; Ehsan Asadi; Hossein Masoumi; Yu Bai; Ali Behnood (Adv. Eng. Informatics, 2022)

Application of artificial bee colony programming techniques for predicting the compressive strength of recycled aggregate concrete. - Seyed Amirhossein Moghaddas; Masood Nekoei; Emadaldin Mohammadi Golafshani; Ali Behnood; Mehrdad Arashpour (Appl. Soft Comput., 2022)

Predicting the compressive strength of eco-friendly and normal concretes using hybridized fuzzy inference system and particle swarm optimization algorithm. - Emadaldin Mohammadi Golafshani; Ali Behnood; Mehrdad Arashpour (Artif. Intell. Rev., 2023)

Modelling the compressive strength of geopolymer recycled aggregate concrete using ensemble machine learning. - Emad Golafshani; Nima Khodadadi; Tuan Ngo; Antonio Nanni; Ali Behnood (Adv. Eng. Softw., 2024)

Metaheuristic optimization based- ensemble learners for the carbonation assessment of recycled aggregate concrete. - Emadaldin Mohammadi Golafshani; Ali Behnood; Taehwan Kim; Tuan Ngo; Alireza Kashani (Appl. Soft Comput., 2024)

Carbonation depth assessment of recycled aggregate concrete: An application of conformal prediction intervals. - Parisa Hajibabaee; Ali Behnood; Tuan Ngo; Emadaldin Mohammadi Golafshani (Expert Syst. Appl., 2025)