5 papers
When the UE Turns Adversary: Real-Time Uplink Jamming from Within 5G Networks
Rosolino Alaimo, Alessandra Dino, Ilenia Tinnirello +1
This paper presents an investigation of a novel class of stealthy and selective reactive jamming attacks targeting the Physical Uplink Shared Channel (PUSCH) in 5G New Radio (NR) n…
RatioWaveNet: A Learnable RDWT Front-End for Robust and Interpretable EEG Motor-Imagery Classification
Marco Siino, Giuseppe Bonomo, Rosario Sorbello +1
Brain-computer interfaces (BCIs) based on motor imagery (MI) translate covert movement intentions into actionable commands, yet reliable decoding from non-invasive EEG remains chal…
Investigating the Impact of Rational Dilated Wavelet Transform on Motor Imagery EEG Decoding with Deep Learning Models
Marco Siino, Giuseppe Bonomo, Rosario Sorbello +1
The present study investigates the impact of the Rational Discrete Wavelet Transform (RDWT), used as a plug-in preprocessing step for motor imagery electroencephalographic (EEG) de…
An Energy-Autonomous and Battery-Free Resistive Sensor using a Time-Domain to Digital Conversion with Bluetooth Low Energy connectivity
Mario Costanza, Antonino Pagano, Samuel Margueron +2
This paper introduces an innovative Energy-Autonomous Wireless Sensing Node (EAWSN) that addresses power constraints by harnessing ambient light for energy. It combines this energy…
The Text Classification Pipeline: Starting Shallow going Deeper
Marco Siino, Ilenia Tinnirello, Marco La Cascia
Text classification stands as a cornerstone within the realm of Natural Language Processing (NLP), particularly when viewed through computer science and engineering. The past decad…