8 citations · 17 across the 6 of their papers we have counts for
6 papers
Stitching the Spectrum: Semantic Spectrum Segmentation with Wideband Signal Stitching
Daniel Uvaydov, Milin Zhang, Clifton Paul Robinson +3
Spectrum has become an extremely scarce and congested resource. As a consequence, spectrum sensing enables the coexistence of different wireless technologies in shared spectrum ban…
SeizNet: An AI-enabled Implantable Sensor Network System for Seizure Prediction
Ali Saeizadeh, Douglas Schonholtz, Daniel Uvaydov +6
In this paper, we introduce SeizNet, a closed-loop system for predicting epileptic seizures through the use of Deep Learning (DL) method and implantable sensor networks. While phar…
DeepSweep: Parallel and Scalable Spectrum Sensing via Convolutional Neural Networks
Clifton Paul Robinson, Daniel Uvaydov, Salvatore D'Oro +1
Spectrum sensing is an essential component of modern wireless networks as it offers a tool to characterize spectrum usage and better utilize it. Deep Learning (DL) has become one o…
Demo: Intelligent Radar Detection in CBRS Band in the Colosseum Wireless Network Emulator
Davide Villa, Daniel Uvaydov, Leonardo Bonati +3
The ever-growing number of wireless communication devices and technologies demands spectrum-sharing techniques. Effective coexistence management is crucial to avoid harmful interfe…
Twinning Commercial Radio Waveforms in the Colosseum Wireless Network Emulator
Davide Villa, Daniel Uvaydov, Leonardo Bonati +3
Because of the ever-growing amount of wireless consumers, spectrum-sharing techniques have been increasingly common in the wireless ecosystem, with the main goal of avoiding harmfu…
Narrowband Interference Detection via Deep Learning
Clifton Paul Robinson, Daniel Uvaydov, Salvatore D'Oro +1
Due to the increased usage of spectrum caused by the exponential growth of wireless devices, detecting and avoiding interference has become an increasingly relevant problem to ensu…