# RF-Enabled Deep-Learning-Assisted Drone Detection and Identification: An End-to-End Approach

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/rf-enabled-deep-learning-assisted-drone-detection-and-identification-an-end-to/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Syed Samiul Alam,Arbil Chakma,Md. Habibur Rahman,Raihan Bin Mofidul,Md Morshed Alam,Ida Bagus Krishna Yoga Utama,Yeong Min Jang |
| Citations | 53 |
| DOI | 10.3390/s23094202 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/1424-8220/23/9/4202/pdf?version=1682304904 |
| OpenAlex ID | https://openalex.org/W4366829203 |
| PMID | 37177405 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Md Morshed Alam](https://scholariq.org/researchers/md-morshed-alam/)

## Paper journal

- [Sensors](https://scholariq.org/journals/sensors/)

## Paper primary topic

- [Wireless Signal Modulation Classification](https://scholariq.org/topics/wireless-signal-modulation-classification/)

## Paper topics

- [Wireless Signal Modulation Classification](https://scholariq.org/topics/wireless-signal-modulation-classification/)
- [UAV Applications and Optimization](https://scholariq.org/topics/uav-applications-and-optimization/)
- [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.