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ORCIDMehrdad Arashpour
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Journal Articles
- 2024
[j14]Sadegh Khanmohammadi, Miguel G. Cruz
, Daniel D. B. Perrakis, Martin E. Alexander, Mehrdad Arashpour:
Using AutoML and generative AI to predict the type of wildfire propagation in Canadian conifer forests. Ecol. Informatics 82: 102711 (2024)- [j13]Sadegh Khanmohammadi, Miguel G. Cruz, Emadaldin Mohammadi Golafshani, Yu Bai, Mehrdad Arashpour:
Application of artificial intelligence methods to model the effect of grass curing level on spread rate of fires. Environ. Model. Softw. 173: 105930 (2024) - 2023
- [j12]Amin Assadzadeh, Mehrdad Arashpour, Heng Li, Reza Hosseini, Faris Elghaish, Shanaka Baduge:
Excavator 3D pose estimation using deep learning and hybrid datasets. Adv. Eng. Informatics 55: 101875 (2023) - [j11]Kaveh Mirzaei, Mehrdad Arashpour, Ehsan Asadi, Hossein Masoumi, Amir Mahdiyar, Vicente Gonzalez:
End-to-end point cloud-based segmentation of building members for automating dimensional quality control. Adv. Eng. Informatics 55: 101878 (2023) - [j10]Zhong Wang, Yulun Wu, Vicente A. González, Yang Zou, Enrique del Rey Castillo, Mehrdad Arashpour, Guillermo Cabrera-Guerrero:
User-centric immersive virtual reality development framework for data visualization and decision-making in infrastructure remote inspections. Adv. Eng. Informatics 57: 102078 (2023) - [j9]Emadaldin Mohammadi Golafshani, Ali Behnood, Mehrdad Arashpour:
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) - [j8]Mehrdad Arashpour, Emadaldin Mohammadi Golafshani, Rajendran Parthiban, Julia Lamborn, Alireza Kashani, Heng Li, Parisa Farzanehfar:
Predicting individual learning performance using machine-learning hybridized with the teaching-learning-based optimization. Comput. Appl. Eng. Educ. 31(1): 83-99 (2023) - 2022
- [j7]Kaveh Mirzaei, Mehrdad Arashpour, Ehsan Asadi, Hossein Masoumi, Yu Bai, Ali Behnood:
3D point cloud data processing with machine learning for construction and infrastructure applications: A comprehensive review. Adv. Eng. Informatics 51: 101501 (2022) - [j6]Seyed Amirhossein Moghaddas, Masood Nekoei, Emadaldin Mohammadi Golafshani, Ali Behnood, Mehrdad Arashpour:
Application of artificial bee colony programming techniques for predicting the compressive strength of recycled aggregate concrete. Appl. Soft Comput. 130: 109641 (2022) - [j5]Mohsen Ebrahimzadeh Hassanabadi, Amin Heidarpour, Saeed Eftekhar Azam, Mehrdad Arashpour:
A Bayesian smoothing for input-state estimation of structural systems. Comput. Aided Civ. Infrastructure Eng. 37(3): 317-334 (2022) - [j4]Sadegh Khanmohammadi, Mehrdad Arashpour, Emadaldin Mohammadi Golafshani, Miguel G. Cruz, Abbas Rajabifard, Yu Bai:
Prediction of wildfire rate of spread in grasslands using machine learning methods. Environ. Model. Softw. 156: 105507 (2022) - 2021
- [j3]Amin Assadzadeh, Mehrdad Arashpour, Alireza Bab-Hadiashar, Tuan Duc Ngo, Heng Li:
Automatic far-field camera calibration for construction scene analysis. Comput. Aided Civ. Infrastructure Eng. 36(8): 1073-1090 (2021) - 2020
- [j2]Shousheng Xiang, Mehrdad Arashpour, Ron R. Wakefield:
A simulation model for investigation of operation of elevator's up-peak. J. Simulation 14(3): 229-238 (2020) - 2014
- [j1]Eric Wai Ming Lee, Ivan W. H. Fung, Vivian W. Y. Tam, Mehrdad Arashpour:
A fully autonomous kernel-based online learning neural network model and its application to building cooling load prediction. Soft Comput. 18(10): 1999-2014 (2014)
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