CANEPA, ALESSIO
CANEPA, ALESSIO
100026 - Dipartimento di Ingegneria navale, elettrica, elettronica e delle telecomunicazioni
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A Data-Driven Method for Reliability Estimation of Auxiliary Power Consumption Prediction in Commercial Electric Vehicles
2022-01-01 Apicella, T.; Ragusa, E.; Canepa, A.; Gastaldo, P.
A pose-based hand image classification method retrainable on embedded target devices
2021-01-01 Canepa, A.; Ragusa, E.; Gianoglio, C.; Gastaldo, P.; Zunino, R.
Application-aware optimization of Artificial Intelligence for deployment on resource constrained devices
2023-03-17 Canepa, Alessio
Design and Implementation of Tiny Deep Neural Networks for Landing Pad Detection on UAVs
2024-01-01 Ragusa, E.; Taccioli, T.; Canepa, A.; Zunino, R.; Gastaldo, P.
Detection-based video surveillance using Deep Neural Networks on STM32 microcontroller
2022-01-01 Canepa, Alessio; Ragusa, Edoardo; Zunino, Rodolfo; Gastaldo, Paolo
T-rexnet—a hardware-aware neural network for real-time detection of small moving objects
2021-01-01 Canepa, A.; Ragusa, E.; Zunino, R.; Gastaldo, P.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Data-Driven Method for Reliability Estimation of Auxiliary Power Consumption Prediction in Commercial Electric Vehicles | 1-gen-2022 | Apicella, T.; Ragusa, E.; Canepa, A.; Gastaldo, P. | |
| A pose-based hand image classification method retrainable on embedded target devices | 1-gen-2021 | Canepa, A.; Ragusa, E.; Gianoglio, C.; Gastaldo, P.; Zunino, R. | |
| Application-aware optimization of Artificial Intelligence for deployment on resource constrained devices | 17-mar-2023 | Canepa, Alessio | |
| Design and Implementation of Tiny Deep Neural Networks for Landing Pad Detection on UAVs | 1-gen-2024 | Ragusa, E.; Taccioli, T.; Canepa, A.; Zunino, R.; Gastaldo, P. | |
| Detection-based video surveillance using Deep Neural Networks on STM32 microcontroller | 1-gen-2022 | Canepa, Alessio; Ragusa, Edoardo; Zunino, Rodolfo; Gastaldo, Paolo | |
| T-rexnet—a hardware-aware neural network for real-time detection of small moving objects | 1-gen-2021 | Canepa, A.; Ragusa, E.; Zunino, R.; Gastaldo, P. |