# Construction Site Hazards Identification Using Deep Learning and Computer Vision

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/construction-site-hazards-identification-using-deep-learning-and-computer-vision/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Muneerah M. Alateeq,Fathimathul Rajeena P. P.,Mona A. S. Ali |
| Citations | 59 |
| DOI | 10.3390/su15032358 |
| Fields | Engineering,Health Professions |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2071-1050/15/3/2358/pdf?version=1674887182 |
| OpenAlex ID | https://openalex.org/W4318476700 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Fathimathul Rajeena P. P.](https://scholariq.org/researchers/fathimathul-rajeena-p-p/)
- [Mona A. S. Ali](https://scholariq.org/researchers/mona-a-s-ali/)

## Paper journal

- [Sustainability](https://scholariq.org/journals/sustainability/)

## Paper primary topic

- [Occupational Health and Safety Research](https://scholariq.org/topics/occupational-health-and-safety-research/)

## Paper topics

- [Occupational Health and Safety Research](https://scholariq.org/topics/occupational-health-and-safety-research/)
- [Infrastructure Maintenance and Monitoring](https://scholariq.org/topics/infrastructure-maintenance-and-monitoring/)
- [Fire Detection and Safety Systems](https://scholariq.org/topics/fire-detection-and-safety-systems/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.