1 citations · 1 across the 4 of their papers we have counts for
4 papers
A Synthetic Dataset for 5G UAV Attacks Based on Observable Network Parameters
Joseanne Viana, Hamed Farkhari, Pedro Sebastiao +4
Synthetic datasets are beneficial for machine learning researchers due to the possibility of experimenting with new strategies and algorithms in the training and testing phases. Th…
Accurate and Reliable Methods for 5G UAV Jamming Identification With Calibrated Uncertainty
Hamed Farkhari, Joseanne Viana, Pedro Sebastiao +4
Only increasing accuracy without considering uncertainty may negatively impact Deep Neural Network (DNN) decision-making and decrease its reliability. This paper proposes five comb…
Two methods for Jamming Identification in UAVs Networks using New Synthetic Dataset
Joseanne Viana, Hamed Farkhari, Luis Miguel Campos +4
Unmanned aerial vehicle (UAV) systems are vulnerable to jamming from self-interested users who utilize radio devices for their benefits during UAV transmissions. The vulnerability…
A Generalized Space-Frequency Index Modulation Scheme for Downlink MIMO Transmissions with Improved Diversity
Vasco Velez, Joao Pedro Pavia, Nuno Souto +2
Multidimensional Index Modulations (IM) are a novel alternative to conventional modulations which can bring considerable benefits for future wireless networks. Within this scope, i…