Machine learning-based construction site dynamic risk models
Bibliographic Data
| ID | 21401784 |
|---|---|
| Authors | Ahmed Gondia (0000-0001-6584-2514, McMaster University, corresponding author), Ahmed Moussa (0000-0002-2556-6970, McMaster University), Mohamed Ezzeldin (0000-0001-6104-1031, McMaster University), Wael El‐Dakhakhni (0000-0001-8617-261X, McMaster University), Wael El-Dakhakhni |
| Year | 2023 |
| Volume | 189 |
| Pages | 122347 |
| Publication date | 2023-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Technological Forecasting and Social Change (JOURNAL) |
| Journal identifiers | ISSN: 0040-1625 • E-ISSN: 1873-5509 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.techfore.2023.122347 |
| OpenAlex | W4320517126 |
| Language | EN |
| Citations received | 2 |
| References cited | 99 |
Business · Ensemble learning · Lagging · Machine learning · Naive Bayes classifier · Random forest · Risk analysis (engineering) · Risk assessment · Risk management · Support vector machine · Work (physics) · Computer Science · Engineering · Infrastructure Maintenance and Monitoring · Occupational Health and Safety Research · Risk and Safety Analysis
| Unique citing works | 2 |
|---|---|
| Citations per year | 2 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |