Ahmed Aqeel

Université de Mons - UMONS > Faculté des Sciences > Service des Réseaux et Télécommunications

Main Referenced Co-authors

QUOITIN, Bruno (2)

GROS, Alexander (1)

MOEYAERT, Véronique (1)

Main Referenced Keywords

deep learning (1); device identification (1); Long-range communications (1); LoRa PHY (1); LoRa, Deep Learning, RF Fingerprinting (1);

Main Referenced Disciplines

Computer science (5)

Electrical & electronics engineering (1)

Publications (total 5)

Search in publications

The most downloaded

56 downloads

Ahmed, A., QUOITIN, B., Gros, A., & Moeyaert, V. (08 July 2024). A Comprehensive Survey on Deep Learning-Based LoRa Radio Frequency Fingerprinting Identification. Sensors, 24 (13), 4411. doi:10.3390/s24134411 https://hdl.handle.net/20.500.12907/49474

The most cited

6 citations (Scopus®)

Ahmed, A. (23 May 2025). Large-Scale and Diverse LoRa Data Collection for Deep learning based RF Fingerprinting [Poster presentation]. InforTech Day 2025, Mons, Belgium.

https://hdl.handle.net/20.500.12907/52469

Ahmed, A., & Quoitin, B. (01 January 2025). Low Complexity Deep Learning Models for LoRa Radio Frequency Fingerprinting [Paper presentation]. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Workshop on Industrial Wireless Networks, Valencia, Spain.

https://hdl.handle.net/20.500.12907/49472

Peer reviewed

Ahmed, A. (09 September 2024). Deep Learning Based LoRa Radio Frequency Fingerprint Identification [Poster presentation]. Groscomp Doctoral School Day.

https://hdl.handle.net/20.500.12907/51920

Ahmed, A. (01 September 2024). Low Complexity Deep Learning Models for LoRa RF Fingerprinting [Paper presentation]. IEEE PIMRC, Barcelona, Spain.

https://hdl.handle.net/20.500.12907/51921

https://hdl.handle.net/20.500.12907/49474

Peer Reviewed verified by ORBi