SPINELLI, FILIPPO
SPINELLI, FILIPPO
Dipartimento di Ingegneria dell'Informazione e Scienze Matematiche
A Low-Complexity FPGA-Based Neural Network for Hand-Arm Vibrations Classification
2023-01-01 Addabbo, T.; Landi, E.; Moretti, R.; Parri, L.; Peruzzi, G.; Pozzebon, A.; Spinelli, F.
A Low-Cost Edge Computing Device for Real-Time Detection of Motor Symptoms in Neurodegenerative Diseases Using Machine Learning
2024-01-01 Carissimo, C.; Cerro, G.; Komici, K.; Miele, G.; Ferrigno, L.; Landi, E.; Spinelli, F.; Fort, A.; Mugnaini, M.
A MobileNet Neural Network Model for Fault Diagnosis in Roller Bearings
2023-01-01 Intravaia, M.; Fort, A.; Landi, E.; Mugnaini, M.; Bianchini, M.; Corradini, B. T.; Scarselli, F.; Tanfoni, M.; Spinelli, F.
Bearing Failure Classification with Low Complexity Neural Network
2023-01-01 Fort, A.; Mugnaini, M.; Spinelli, F.; Landi, E.; Moretti, R.
Complex Dynamics in Digital Nonlinear Oscillators: Experimental Analysis and Verification
2023-01-01 Addabbo, T.; Fort, A.; Moretti, R.; Spinelli, F.; Vignoli, V.
Low-complexity Machine Learning Architecture for Hardware-aware True Random Number Generators Assessment and Continuous Monitoring
2023-01-01 Spinelli, F.; Moretti, R.; Addabbo, T.; Vitolo, P.; Licciardo, G. D.
Monitoring Hardware True Random Number Generators with Artificial Neural Networks: Problem Modeling and Training Dataset Generation
2024-01-01 Addabbo, T.; Licciardo, G. D.; Moretti, R.; Rubino, A.; Spinelli, F.; Vignoli, V.; Vitolo, P.
Multi-Phase Frequency Measurement Exploiting FPGA Mixed-Mode Clock Management for QCM-D Technology
2023-01-01 Addabbo, T.; Fort, A.; Moretti, R.; Spinelli, F.; Vignoli, V.
Titolo | Data di pubblicazione | Autore(i) | File | Abstract |
---|---|---|---|---|
A Low-Complexity FPGA-Based Neural Network for Hand-Arm Vibrations Classification | 1-gen-2023 | Addabbo, T.; Landi, E.; Moretti, R.; Parri, L.; Peruzzi, G.; Pozzebon, A.; Spinelli, F. | - | |
A Low-Cost Edge Computing Device for Real-Time Detection of Motor Symptoms in Neurodegenerative Diseases Using Machine Learning | 1-gen-2024 | Carissimo, C.; Cerro, G.; Komici, K.; Miele, G.; Ferrigno, L.; Landi, E.; Spinelli, F.; Fort, A.; Mugnaini, M. | - | |
A MobileNet Neural Network Model for Fault Diagnosis in Roller Bearings | 1-gen-2023 | Intravaia, M.; Fort, A.; Landi, E.; Mugnaini, M.; Bianchini, M.; Corradini, B. T.; Scarselli, F.; Tanfoni, M.; Spinelli, F. | - | |
Bearing Failure Classification with Low Complexity Neural Network | 1-gen-2023 | Fort, A.; Mugnaini, M.; Spinelli, F.; Landi, E.; Moretti, R. | - | |
Complex Dynamics in Digital Nonlinear Oscillators: Experimental Analysis and Verification | 1-gen-2023 | Addabbo, T.; Fort, A.; Moretti, R.; Spinelli, F.; Vignoli, V. | - | |
Low-complexity Machine Learning Architecture for Hardware-aware True Random Number Generators Assessment and Continuous Monitoring | 1-gen-2023 | Spinelli, F.; Moretti, R.; Addabbo, T.; Vitolo, P.; Licciardo, G. D. | - | |
Monitoring Hardware True Random Number Generators with Artificial Neural Networks: Problem Modeling and Training Dataset Generation | 1-gen-2024 | Addabbo, T.; Licciardo, G. D.; Moretti, R.; Rubino, A.; Spinelli, F.; Vignoli, V.; Vitolo, P. | - | |
Multi-Phase Frequency Measurement Exploiting FPGA Mixed-Mode Clock Management for QCM-D Technology | 1-gen-2023 | Addabbo, T.; Fort, A.; Moretti, R.; Spinelli, F.; Vignoli, V. | - |