Lorenzo Canese

According to our database, Lorenzo Canese authored at least 10 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Novel Digital Equalizer Based on RF Sampling Beyond GHz.

Lorenzo Canese, Gian Carlo Cardarilli, Riccardo La Cesa, Luca Di Nunzio, Rocco Fazzolari, Daniele Giardino, Marco Re, Sergio Spanò

IEEE Access, 2024

Design Space Exploration for Edge Machine Learning Featured by MathWorks FPGA DL Processor: A Survey.

Stefano Bertazzoni, Lorenzo Canese, Gian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, Marco Re, Sergio Spanò

IEEE Access, 2024

Dependable Systems and AI in Critical Infrastructures: A Case Study in European Earth Observation Missions.

Valentina Zancan, Filomena Decuzzi, Gianluca Furano, Lorenzo Canese

Proceedings of the IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, 2024

2023

Efficient Digital Implementation of a Multirate-Based Variable Fractional Delay Filter for Wideband Beamforming.

Lorenzo Canese, Gian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, Daniele Giardino, Marco Re, Sergio Spanò

IEEE Trans. Circuits Syst. II Express Briefs, June, 2023

A RISC-V Hardware Accelerator for Q-Learning Algorithm.

Damiano Angeloni, Lorenzo Canese, Gian Carlo Cardarilli, Luca Di Nunzio, Marco Re, Sergio Spanò

Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2023

A Hardware-Oriented QAM Demodulation Method Driven by AW-SOM Machine Learning.

Lorenzo Canese, Gian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, Marco Re, Sergio Spanò

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Sensing and Detection of Traffic Signs Using CNNs: An Assessment on Their Performance.

Lorenzo Canese, Gian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, Hamed Famil Ghadakchi, Marco Re, Sergio Spanò

Sensors, 2022

FPGA-Based Road Crack Detection Using Deep Learning.

Lorenzo Canese, Gian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, Marco Re, Sergio Spanò

Proceedings of the Advances in System-Integrated Intelligence, 2022

Profiling of CNNs using the MATLAB FPGA-based Deep Learning Processor.

Sergio Spanò, Lorenzo Canese, Gian Carlo Cardarilli

Proceedings of the 17th Conference on Ph.D Research in Microelectronics and Electronics, 2022

Automatic IP Core Generator for FPGA-Based Q-Learning Hardware Accelerators.

Lorenzo Canese, Gian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, Marco Re, Sergio Spanò

Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2022