Mehrdad Arashpour

According to our database, Mehrdad Arashpour authored at least 14 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Application of artificial intelligence methods to model the effect of grass curing level on spread rate of fires.

Sadegh Khanmohammadi, Miguel G. Cruz, Emadaldin Mohammadi Golafshani, Yu Bai, Mehrdad Arashpour

Environ. Model. Softw., 2024

Using AutoML and generative AI to predict the type of wildfire propagation in Canadian conifer forests.

Sadegh Khanmohammadi, Miguel G. Cruz, Daniel D. B. Perrakis, Martin E. Alexander, Mehrdad Arashpour

Ecol. Informatics, 2024

2023

User-centric immersive virtual reality development framework for data visualization and decision-making in infrastructure remote inspections.

Zhong Wang, Yulun Wu, Vicente A. González, Yang Zou, Enrique del Rey Castillo, Mehrdad Arashpour, Guillermo Cabrera-Guerrero

Adv. Eng. Informatics, August, 2023

Predicting individual learning performance using machine-learning hybridized with the teaching-learning-based optimization.

Mehrdad Arashpour, Emadaldin Mohammadi Golafshani, Rajendran Parthiban, Julia Lamborn, Alireza Kashani, Heng Li, Parisa Farzanehfar

Comput. Appl. Eng. Educ., January, 2023

End-to-end point cloud-based segmentation of building members for automating dimensional quality control.

Kaveh Mirzaei, Mehrdad Arashpour, Ehsan Asadi, Hossein Masoumi, Amir Mahdiyar, Vicente Gonzalez

Adv. Eng. Informatics, January, 2023

Excavator 3D pose estimation using deep learning and hybrid datasets.

Amin Assadzadeh, Mehrdad Arashpour, Heng Li, Reza Hosseini, Faris Elghaish, Shanaka Baduge

Adv. Eng. Informatics, January, 2023

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

2022

Prediction of wildfire rate of spread in grasslands using machine learning methods.

Sadegh Khanmohammadi, Mehrdad Arashpour, Emadaldin Mohammadi Golafshani, Miguel G. Cruz, Abbas Rajabifard, Yu Bai

Environ. Model. Softw., 2022

A Bayesian smoothing for input-state estimation of structural systems.

Mohsen Ebrahimzadeh Hassanabadi, Amin Heidarpour, Saeed Eftekhar Azam, Mehrdad Arashpour

Comput. Aided Civ. Infrastructure Eng., 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

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

2021

Automatic far-field camera calibration for construction scene analysis.

Amin Assadzadeh, Mehrdad Arashpour, Alireza Bab-Hadiashar, Tuan Duc Ngo, Heng Li

Comput. Aided Civ. Infrastructure Eng., 2021

2020

A simulation model for investigation of operation of elevator's up-peak.

Shousheng Xiang, Mehrdad Arashpour, Ron R. Wakefield

J. Simulation, 2020

2014

A fully autonomous kernel-based online learning neural network model and its application to building cooling load prediction.

Eric Wai Ming Lee, Ivan W. H. Fung, Vivian W. Y. Tam, Mehrdad Arashpour

Soft Comput., 2014