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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, RF Fingerprinting, Deep Learning, LoRaWAN security (1);
Main Referenced Disciplines
Computer science (4)
Electrical & electronics engineering (1)

Publications (total 4)

The most downloaded
20 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

1 citations (Scopus®)

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

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.
Peer reviewed

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

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

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
Peer Reviewed verified by ORBi

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