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Ali Behnood
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2020 – today
- 2024
- [j6]Emad Golafshani, Nima Khodadadi
, Tuan Ngo
Modelling the compressive strength of geopolymer recycled aggregate concrete using ensemble machine learning. Adv. Eng. Softw. 191: 103611 (2024) - [j5]Emadaldin Mohammadi Golafshani, Ali Behnood
Metaheuristic optimization based- ensemble learners for the carbonation assessment of recycled aggregate concrete. Appl. Soft Comput. 159: 111661 (2024) - 2023
- [j4]Emadaldin Mohammadi Golafshani
Predicting the compressive strength of eco-friendly and normal concretes using hybridized fuzzy inference system and particle swarm optimization algorithm. Artif. Intell. Rev. 56(8): 7965-7984 (2023) - 2022
- [j3]Kaveh Mirzaei
3D point cloud data processing with machine learning for construction and infrastructure applications: A comprehensive review. Adv. Eng. Informatics 51: 101501 (2022) - [j2]Seyed Amirhossein Moghaddas
Application of artificial bee colony programming techniques for predicting the compressive strength of recycled aggregate concrete. Appl. Soft Comput. 130: 109641 (2022)
2010 – 2019
- 2018
- [j1]Emadaldin Mohammadi Golafshani
Automatic regression methods for formulation of elastic modulus of recycled aggregate concrete. Appl. Soft Comput. 64: 377-400 (2018)
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last updated on 2024-10-07 22:20 CEST by the dblp team
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