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Lorenzo Canese
ORCID
Publication Activity (10 Years)
Years Active: 2022-2024
Publications (10 Years): 9
Top Topics
Hardware Software Partitioning
Design Space Exploration
Sampling Strategy
Traffic Signs
Top Venues
ApplePies
IEEE Access
SYSINT
PRIME
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Publications
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Lorenzo Canese
,
Gian Carlo Cardarilli
,
Riccardo La Cesa
,
Luca Di Nunzio
,
Rocco Fazzolari
,
Daniele Giardino
,
Marco Re
,
Sergio Spanò
A Novel Digital Equalizer Based on RF Sampling Beyond GHz.
IEEE Access
12 (2024)
Stefano Bertazzoni
,
Lorenzo Canese
,
Gian Carlo Cardarilli
,
Luca Di Nunzio
,
Rocco Fazzolari
,
Marco Re
,
Sergio Spanò
Design Space Exploration for Edge Machine Learning Featured by MathWorks FPGA DL Processor: A Survey.
IEEE Access
12 (2024)
Lorenzo Canese
,
Gian Carlo Cardarilli
,
Luca Di Nunzio
,
Rocco Fazzolari
,
Daniele Giardino
,
Marco Re
,
Sergio Spanò
Efficient Digital Implementation of a Multirate-Based Variable Fractional Delay Filter for Wideband Beamforming.
IEEE Trans. Circuits Syst. II Express Briefs
70 (6) (2023)
Lorenzo Canese
,
Gian Carlo Cardarilli
,
Luca Di Nunzio
,
Rocco Fazzolari
,
Marco Re
,
Sergio Spanò
A Hardware-Oriented QAM Demodulation Method Driven by AW-SOM Machine Learning.
ACSSC
(2023)
Damiano Angeloni
,
Lorenzo Canese
,
Gian Carlo Cardarilli
,
Luca Di Nunzio
,
Marco Re
,
Sergio Spanò
A RISC-V Hardware Accelerator for Q-Learning Algorithm.
ApplePies
(2023)
Lorenzo Canese
,
Gian Carlo Cardarilli
,
Luca Di Nunzio
,
Rocco Fazzolari
,
Marco Re
,
Sergio Spanò
Automatic IP Core Generator for FPGA-Based Q-Learning Hardware Accelerators.
ApplePies
(2022)
Lorenzo Canese
,
Gian Carlo Cardarilli
,
Luca Di Nunzio
,
Rocco Fazzolari
,
Hamed Famil Ghadakchi
,
Marco Re
,
Sergio Spanò
Sensing and Detection of Traffic Signs Using CNNs: An Assessment on Their Performance.
Sensors
22 (22) (2022)
Sergio Spanò
,
Lorenzo Canese
,
Gian Carlo Cardarilli
Profiling of CNNs using the MATLAB FPGA-based Deep Learning Processor.
PRIME
(2022)
Lorenzo Canese
,
Gian Carlo Cardarilli
,
Luca Di Nunzio
,
Rocco Fazzolari
,
Marco Re
,
Sergio Spanò
FPGA-Based Road Crack Detection Using Deep Learning.
SYSINT
(2022)