56 citations · 483 across the 53 of their papers we have counts for
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eess.SP2021★ 1 cited
Leveraging Multiple Transmissions and Receptions for Channel-Agnostic Deep Learning-Based Network Device Classification
Nora Basha, Bechir Hamdaoui
The accurate identification of wireless devices is critical for enabling automated network access monitoring and authenticated data communication in large-scale networks; e.g., IoT…
eess.SP2021★ 16 cited
Deep Neural Network Feature Designs for RF Data-Driven Wireless Device Classification
Bechir Hamdaoui, Abdurrahman Elmaghbub, Seifeddine Mejri
Most prior works on deep learning-based wireless device classification using radio frequency (RF) data apply off-the-shelf deep neural network (DNN) models, which were matured main…