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2020 – today
- 2024
[j2]Edoardo Ragusa
, Tommaso Taccioli, Alessio Canepa, Rodolfo Zunino, Paolo Gastaldo:
Design and Implementation of Tiny Deep Neural Networks for Landing Pad Detection on UAVs. IEEE Access 12: 124009-124020 (2024)- 2023
- [b1]Alessio Canepa:
Application-aware optimization of Artificial Intelligence for deployment on resource constrained devices. University of Genoa, Italy, 2023 - 2022
- [c6]Alessio Canepa, Edoardo Ragusa, Rodolfo Zunino, Paolo Gastaldo:
Detection-based video surveillance using Deep Neural Networks on STM32 microcontroller. ICECS 2022 2022: 1-4 - 2021
- [j1]Alessio Canepa, Edoardo Ragusa, Rodolfo Zunino, Paolo Gastaldo:
T-RexNet - A Hardware-Aware Neural Network for Real-Time Detection of Small Moving Objects. Sensors 21(4): 1252 (2021) - [c5]Tommaso Apicella, Edoardo Ragusa, Alessio Canepa, Paolo Gastaldo:
A Data-Driven Method for Reliability Estimation of Auxiliary Power Consumption Prediction in Commercial Electric Vehicles. ApplePies 2021: 86-92 - [c4]Alessio Canepa, Edoardo Ragusa, Christian Gianoglio, Paolo Gastaldo, Rodolfo Zunino:
A pose-based hand image classification method retrainable on embedded target devices. ICECS 2021: 1-6
2010 – 2019
- 2017
- [c3]Alessio Canepa, Zeynab Talebpour, Alcherio Martinoli:
Automatic calibration of ultra wide band tracking systems using a mobile robot: A person localization case-study. IPIN 2017: 1-8 - 2015
- [c2]Alberto Bolzoni, Alessio La Bella, Davide Moschetta, Giulia Musacci, Giambattista Gruosso, Giancarlo Storti Gajani, Marco Aimo Boot, Luca Bellini, Alessio Canepa, Davide Cardella, Valentino Peluso, Paolo Guglielmi:
Object based modelling of hybrid electrical vehicle and power management control. RTSI 2015: 534-540 - 2013
- [c1]Alberto Oliveri, Alessio Canepa, Leonardo Queirolo, Marco Storace:
An algorithm for automatic domain partitioning of piecewise-affine model predictive control laws. ICECS 2013: 217-220
Coauthor Index
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