Monitoring Hardware True Random Number Generators with Artificial Neural Networks: Problem Modeling and Training Dataset Generation. - Tommaso Addabbo; Gian Domenico Licciardo; Riccardo Moretti; Alfredo Rubino; Filippo Spinelli; Valerio Vignoli; Paola Vitolo (ApplePies, 2023)

A MobileNet Neural Network Model for Fault Diagnosis in Roller Bearings. - Elia Landi; Filippo Spinelli; Matteo Intravaia; Marco Mugnaini; Ada Fort; Monica Bianchini; Barbara Toniella Corradini; Franco Scarselli; Marco Tanfoni (I2MTC, 2023)

Multi-Phase Frequency Measurement Exploiting FPGA Mixed-Mode Clock Management for QCM-D Technology. - Tommaso Addabbo; Ada Fort; Riccardo Moretti; Filippo Spinelli; Valerio Vignoli (ISCAS, 2023)

A Low-Complexity FPGA-Based Neural Network for Hand-Arm Vibrations Classification. - Tommaso Addabbo; Elia Landi; Riccardo Moretti; Lorenzo Parri; Giacomo Peruzzi; Alessandro Pozzebon; Filippo Spinelli (MetroInd4.0&IoT, 2023)

Bearing Failure Classification with Low Complexity Neural Network. - Ada Fort; Marco Mugnaini; Filippo Spinelli; Elia Landi; Riccardo Moretti (MetroXRAINE, 2023)

Low-complexity Machine Learning Architecture for Hardware-aware True Random Number Generators Assessment and Continuous Monitoring. - Filippo Spinelli; Riccardo Moretti; Tommaso Addabbo; Paola Vitolo; Gian Domenico Licciardo (PRIME, 2023)

Remotely Controlled Test Bench for the Automated Characterization of Ultrasonic Anemometers. - Tommaso Addabbo; Ada Fort; Ali Nadeem; Filippo Spinelli; Valerio Vignoli (ApplePies, 2024)

A Low-Cost Edge Computing Device for Real-Time Detection of Motor Symptoms in Neurodegenerative Diseases Using Machine Learning. - Chiara Carissimo; Gianni Cerro; K. Komici; Gianfranco Miele; Luigi Ferrigno; Elia Landi; Filippo Spinelli; Ada Fort; Marco Mugnaini (I2MTC, 2024)