# Deep learning for unmanned aerial vehicles detection: A review

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-for-unmanned-aerial-vehicles-detection-a-review/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Nader Al-lQubaydhi,Abdulrahman Alenezi,Turki M. Alanazi,Abdulrahman Senyor,Naif Alanezi,Bandar Alotaibi,Munif Alotaibi,Munif Alotaibi,Abdul Razaque,Salim Hariri |
| Citations | 141 |
| DOI | 10.1016/j.cosrev.2023.100614 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4390569066 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Turki M. Alanazi](https://scholariq.org/researchers/turki-m-alanazi/)

## Paper primary topic

- [UAV Applications and Optimization](https://scholariq.org/topics/uav-applications-and-optimization/)

## Paper topics

- [UAV Applications and Optimization](https://scholariq.org/topics/uav-applications-and-optimization/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods/)

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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.