Novel Unsupervised Machine Learning Method for Identifying Falling from Height Hazards in Building Information Models through Path Simulation Sampling
Falling from height (FFH) is a significant safety concern in the construction industry. It requires construction safety managers to identify and prevent FFH from occurring as early as possible. However, due to insufficient expertise and the shortage of relevant personnel, it is often challenging to...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2024/6333621 |
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