Lorenzo Canese

12 papers Misc 1Journal 4Unranked 7
YearRankTypeTitle / Venue / Authors
2024 J jnl
A Novel Digital Equalizer Based on RF Sampling Beyond GHz.
IEEE Access
Lorenzo Canese, Gian Carlo Cardarilli, Riccardo La Cesa, Luca Di Nunzio, Rocco Fazzolari, Daniele Giardino, Marco Re, Sergio Spanò
2024 — conf
A RISC-V Hardware Accelerator for AW-SOM Machine Learning.
IEEECONF
Lorenzo Canese, Gian Carlo Cardarilli, Luca Di Nunzio, Riccardo La Cesa, Mariano Neroni, Simone Pace, Sergio Spanò
2024 — conf
Dependable Systems and AI in Critical Infrastructures: A Case Study in European Earth Observation Missions.
DFT
Valentina Zancan, Filomena Decuzzi, Gianluca Furano, Lorenzo Canese
2024 J jnl
Design Space Exploration for Edge Machine Learning Featured by MathWorks FPGA DL Processor: A Survey.
IEEE Access
Stefano Bertazzoni, Lorenzo Canese, Gian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, Marco Re, Sergio Spanò
2024 — conf
Onboard FPGA AI/ML Processing on Landsat-8 Satellite Images: A Case Study of Wildfires Detection.
ApplePies
Lorenzo Canese, Gian Carlo Cardarilli, Giuseppe D'Angelo, Luca Di Nunzio, Piero Gabellini, Riccardo La Cesa, Marco Re, Sergio Spanò
2023 Misc conf
A Hardware-Oriented QAM Demodulation Method Driven by AW-SOM Machine Learning.
ACSSC
Lorenzo Canese, Gian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, Marco Re, Sergio Spanò
2023 — conf
A RISC-V Hardware Accelerator for Q-Learning Algorithm.
ApplePies
Damiano Angeloni, Lorenzo Canese, Gian Carlo Cardarilli, Luca Di Nunzio, Marco Re, Sergio Spanò
2023 J jnl
Efficient Digital Implementation of a Multirate-Based Variable Fractional Delay Filter for Wideband Beamforming.
IEEE Trans. Circuits Syst. II Express Briefs
Lorenzo Canese, Gian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, Daniele Giardino, Marco Re, Sergio Spanò
2022 — conf
Automatic IP Core Generator for FPGA-Based Q-Learning Hardware Accelerators.
ApplePies
Lorenzo Canese, Gian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, Marco Re, Sergio Spanò
2022 — conf
FPGA-Based Road Crack Detection Using Deep Learning.
SYSINT
Lorenzo Canese, Gian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, Marco Re, Sergio Spanò
2022 — conf
Profiling of CNNs using the MATLAB FPGA-based Deep Learning Processor.
PRIME
Sergio Spanò, Lorenzo Canese, Gian Carlo Cardarilli
2022 J jnl
Sensing and Detection of Traffic Signs Using CNNs: An Assessment on Their Performance.
Sensors
Lorenzo Canese, Gian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, Hamed Famil Ghadakchi, Marco Re, Sergio Spanò