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Filippo Spinelli
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2020 – today
- 2024
- [c7]Chiara Carissimo, Gianni Cerro, K. Komici, Gianfranco Miele, Luigi Ferrigno, Elia Landi, Filippo Spinelli
, Ada Fort, Marco Mugnaini:
A Low-Cost Edge Computing Device for Real-Time Detection of Motor Symptoms in Neurodegenerative Diseases Using Machine Learning. I2MTC 2024: 1-6 - 2023
- [c6]Tommaso Addabbo, Gian Domenico Licciardo, Riccardo Moretti, Alfredo Rubino, Filippo Spinelli
, Valerio Vignoli, Paola Vitolo:
Monitoring Hardware True Random Number Generators with Artificial Neural Networks: Problem Modeling and Training Dataset Generation. ApplePies 2023: 291-296 - [c5]Elia Landi, Filippo Spinelli
, Matteo Intravaia, Marco Mugnaini, Ada Fort, Monica Bianchini, Barbara Toniella Corradini, Franco Scarselli
, Marco Tanfoni:
A MobileNet Neural Network Model for Fault Diagnosis in Roller Bearings. I2MTC 2023: 1-6 - [c4]Tommaso Addabbo, Ada Fort, Riccardo Moretti, Filippo Spinelli
, Valerio Vignoli:
Multi-Phase Frequency Measurement Exploiting FPGA Mixed-Mode Clock Management for QCM-D Technology. ISCAS 2023: 1-5 - [c3]Tommaso Addabbo, Elia Landi, Riccardo Moretti, Lorenzo Parri, Giacomo Peruzzi
, Alessandro Pozzebon
, Filippo Spinelli
:
A Low-Complexity FPGA-Based Neural Network for Hand-Arm Vibrations Classification. MetroInd4.0&IoT 2023: 19-23 - [c2]Ada Fort, Marco Mugnaini, Filippo Spinelli
, Elia Landi, Riccardo Moretti:
Bearing Failure Classification with Low Complexity Neural Network. MetroXRAINE 2023: 353-358 - [c1]Filippo Spinelli
, Riccardo Moretti, Tommaso Addabbo, Paola Vitolo, Gian Domenico Licciardo
:
Low-complexity Machine Learning Architecture for Hardware-aware True Random Number Generators Assessment and Continuous Monitoring. PRIME 2023: 221-224
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last updated on 2024-08-05 20:13 CEST by the dblp team
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