Advances in teaching-learning-based optimization algorithm: A comprehensive survey

G Zhou, Y Zhou, W Deng, S Yin, Y Zhang - Neurocomputing, 2023 - Elsevier
Teaching-learning-based optimization (TLBO) algorithm which imitates the teaching-
learning process in a classroom, is one of population-based heuristic stochastic swarm …

[HTML][HTML] Enhancing construction safety: Machine learning-based classification of injury types

M Alkaissy, M Arashpour, EM Golafshani, MR Hosseini… - Safety science, 2023 - Elsevier
The construction industry is a hazardous industry with significant injuries and fatalities. Few
studies have used data-driven analysis to investigate injuries due to construction accidents …

A comprehensive survey on deep learning techniques in educational data mining

Y Lin, H Chen, W Xia, F Lin, Z Wang, Y Liu - arXiv preprint arXiv …, 2023 - arxiv.org
Educational Data Mining (EDM) has emerged as a vital field of research, which harnesses
the power of computational techniques to analyze educational data. With the increasing …

Excavator 3D pose estimation using deep learning and hybrid datasets

A Assadzadeh, M Arashpour, H Li, R Hosseini… - Advanced Engineering …, 2023 - Elsevier
Earthwork operations are crucial parts of most construction projects. Heavy construction
equipment and workers are often required to work in limited workspaces simultaneously …

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

K Mirzaei, M Arashpour, E Asadi, H Masoumi… - Advanced Engineering …, 2023 - Elsevier
A frequent and accurate quality inspection procedure to assess the quality requirements
during the life cycle of buildings is crucial. Among different quality measures, the …

Multi-objective optimization of shading devices using ensemble machine learning and orthogonal design of experiments

R Alsharif, M Arashpour, E Golafshani, A Rashidi… - Energy and …, 2023 - Elsevier
Buildings are significant sources of energy consumption due to the non-optimal
configuration of shading devices that results in excessive solar heat gain. Amorphous …

[HTML][HTML] Efficiency of VR-based safety training for construction equipment: Hazard recognition in heavy machinery operations

A Shringi, M Arashpour, EM Golafshani, A Rajabifard… - Buildings, 2022 - mdpi.com
Machinery operations on construction sites result in many serious injuries and fatalities.
Practical training in a virtual environment is the key to improving the safety performance of …

[HTML][HTML] Automatic generation of structural geometric digital twins from point clouds

K Mirzaei, M Arashpour, E Asadi, H Masoumi, H Li - Scientific Reports, 2022 - nature.com
A geometric digital twin (gDT) model capable of leveraging acquired 3D geometric data
plays a vital role in digitizing the process of structural health monitoring. This study presents …

[HTML][HTML] Enhancing safety training performance using extended reality: a hybrid delphi–AHP multi-attribute analysis in a Type-2 fuzzy environment

A Shringi, M Arashpour, EM Golafshani, T Dwyer… - Buildings, 2023 - mdpi.com
Safety training effectively addresses the inexperience of and lack of knowledge among
construction workers, which are some of the most significant contributors to workplace …

[HTML][HTML] Automatic compliance inspection and monitoring of building structural members using multi-temporal point clouds

K Mirzaei, M Arashpour, E Asadi, H Feng… - Journal of Building …, 2023 - Elsevier
Building structural works require regular inspections and monitoring of damage progression
to ensure compliance with relevant standards and jurisdictional requirements. Conventional …