CANESE, LORENZO
CANESE, LORENZO
Dipartimento di Ingegneria Elettronica
A Hardware-Oriented QAM Demodulation Method Driven by AW-SOM Machine Learning
2023-01-01 Canese, L; Cardarilli, Gc; Di Nunzio, L; Fazzolari, R; Re, M; Spano, S
A novel digital equalizer based on RF sampling beyond GHz
2024-01-01 Canese, L; Cardarilli, Gc; La Cesa, R; Di Nunzio, L; Fazzolari, R; Giardino, D; Re, M; Spanò, S
A RISC-V hardware accelerator for AW-SOM machine learning
2024-01-01 Canese, L; Cardarilli, Gc; Di Nunzio, L; La Cesa, R; Neroni, M; Pace, S; Spanò, S
A RISC-V Hardware Accelerator for Q-Learning Algorithm
2024-01-01 Angeloni, D; Canese, L; Cardarilli, Gc; Di Nunzio, L; Re, M; Spano, S
Automatic IP Core Generator for FPGA-Based Q-Learning Hardware Accelerators
2023-01-01 Canese, L; Cardarilli, Gc; Di Nunzio, L; Fazzolari, R; Re, M; Span('o), S
Design Space Exploration for Edge machine learning featured by MathWorks FPGA DL Processor: a survey
2024-01-01 Bertazzoni, S; Canese, L; Cardarilli, Gc; Di Nunzio, L; Fazzolari, R; Re, M; Spano, S
Onboard FPGA AI/ML processing on Landsat-8 satellite images: a case study of wildfires detection
2025-01-01 Canese, L; Cardarilli, Gc; D'Angelo, G; Di Nunzio, L; Gabellini, P; La Cesa, R; Re, M; Spano, S
Phased Arrays and BeamForming for MIMO and GNSS Applications
2024-01-01 Acciarito, S; Canese, L; Cardarilli, Gc; Di Nunzio, L; Fazzolari, R; Cesa, Rl; Re, M; Spano, S
Resilient multi-agent RL: introducing DQ-RTS for distributed environments with data loss
2024-01-01 Canese, L; Cardarilli, Gc; Di Nunzio, L; Fazzolari, R; Re, M; Spano, S
| Data di pubblicazione | Titolo | Autore(i) | Tipo | File |
|---|---|---|---|---|
| 1-gen-2023 | A Hardware-Oriented QAM Demodulation Method Driven by AW-SOM Machine Learning | Canese, L; Cardarilli, Gc; Di Nunzio, L; Fazzolari, R; Re, M; Spano, S | Intervento a convegno | |
| 1-gen-2024 | A novel digital equalizer based on RF sampling beyond GHz | Canese, L; Cardarilli, Gc; La Cesa, R; Di Nunzio, L; Fazzolari, R; Giardino, D; Re, M; Spanò, S | Articolo su rivista | |
| 1-gen-2024 | A RISC-V hardware accelerator for AW-SOM machine learning | Canese, L; Cardarilli, Gc; Di Nunzio, L; La Cesa, R; Neroni, M; Pace, S; Spanò, S | Intervento a convegno | |
| 1-gen-2024 | A RISC-V Hardware Accelerator for Q-Learning Algorithm | Angeloni, D; Canese, L; Cardarilli, Gc; Di Nunzio, L; Re, M; Spano, S | Intervento a convegno | |
| 1-gen-2023 | Automatic IP Core Generator for FPGA-Based Q-Learning Hardware Accelerators | Canese, L; Cardarilli, Gc; Di Nunzio, L; Fazzolari, R; Re, M; Span('o), S | Intervento a convegno | |
| 1-gen-2024 | Design Space Exploration for Edge machine learning featured by MathWorks FPGA DL Processor: a survey | Bertazzoni, S; Canese, L; Cardarilli, Gc; Di Nunzio, L; Fazzolari, R; Re, M; Spano, S | Articolo su rivista | |
| 1-gen-2025 | Onboard FPGA AI/ML processing on Landsat-8 satellite images: a case study of wildfires detection | Canese, L; Cardarilli, Gc; D'Angelo, G; Di Nunzio, L; Gabellini, P; La Cesa, R; Re, M; Spano, S | Intervento a convegno | |
| 1-gen-2024 | Phased Arrays and BeamForming for MIMO and GNSS Applications | Acciarito, S; Canese, L; Cardarilli, Gc; Di Nunzio, L; Fazzolari, R; Cesa, Rl; Re, M; Spano, S | Intervento a convegno | |
| 1-gen-2024 | Resilient multi-agent RL: introducing DQ-RTS for distributed environments with data loss | Canese, L; Cardarilli, Gc; Di Nunzio, L; Fazzolari, R; Re, M; Spano, S | Articolo su rivista |