CALISTI, LORENZO
CALISTI, LORENZO
Dipartimento di Scienze Pure e Applicate (DiSPeA)
A power-aware vision-based virtual sensor for real-time edge computing
2024 Contoli, Chiara; Calisti, Lorenzo; Fabrizio, Giacomo Di; Kania, Nicholas; Bogliolo, Alessandro; Lattanzi, Emanuele
A Study on the energy-efficiency of the Object Tracking Algorithms in Edge Devices
2024 Di Fabrizio, Giacomo; Calisti, Lorenzo; Contoli, Chiara; Kania, Nicholas; Lattanzi, Emanuele
A Vision-based Virtual Sensor to Enhance Privacy and Energy Efficiency on Edge Computing
2024 Kania, Nicholas; Bogliolo, Alessandro; Calisti, Lorenzo; Contoli, Chiara; Di Fabrizio, Giacomo; Romanelli, Luca; Lattanzi, Emanuele
An IoT Virtual Sensor for Indoor Health Risk Assessment
2023 Calisti, L.; Capellacci, P.; Schiavano, G.; Conti, A.; Amagliani, G.; Papalini, Cecilia; Brandi, G.; Lattanzi, E.
EESiamese: Energy-efficient Siamese Neural Network for Constrained Devices
2024 Calisti, Lorenzo; Contoli, Chiara; Di Fabrizio, Giacomo; Kania, Nicholas; Lattanzi, Emanuele
Energy-aware Tiny Machine Learning for Sensor-based Hand-washing Recognition
2023 Lattanzi, Emanuele; Calisti, Lorenzo
Lightweight accurate trigger to reduce power consumption in sensor-based continuous human activity recognition
2023 Lattanzi, Emanuele; Calisti, Lorenzo; Capellacci, Paolo
Real-time Energy-efficient Sensor Libraries for Wearable Devices
2024 Calisti, Lorenzo; Lattanzi, Emanuele
SensorLib: an Energy-efficient Sensor-collection Library for Wear OS
2024 Calisti, Lorenzo; Lattanzi, Emanuele
Unstructured Handwashing Recognition Using Smartwatch to Reduce Contact Transmission of Pathogens
2022 Lattanzi, Emanuele; Calisti, Lorenzo; Freschi, Valerio
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
A power-aware vision-based virtual sensor for real-time edge computing | 1-gen-2024 | Contoli, Chiara; Calisti, Lorenzo; Fabrizio, Giacomo Di; Kania, Nicholas; Bogliolo, Alessandro; Lattanzi, Emanuele | |
A Study on the energy-efficiency of the Object Tracking Algorithms in Edge Devices | 1-gen-2024 | Di Fabrizio, Giacomo; Calisti, Lorenzo; Contoli, Chiara; Kania, Nicholas; Lattanzi, Emanuele | |
A Vision-based Virtual Sensor to Enhance Privacy and Energy Efficiency on Edge Computing | 1-gen-2024 | Kania, Nicholas; Bogliolo, Alessandro; Calisti, Lorenzo; Contoli, Chiara; Di Fabrizio, Giacomo; Romanelli, Luca; Lattanzi, Emanuele | |
An IoT Virtual Sensor for Indoor Health Risk Assessment | 1-gen-2023 | Calisti, L.; Capellacci, P.; Schiavano, G.; Conti, A.; Amagliani, G.; Papalini, Cecilia; Brandi, G.; Lattanzi, E. | |
EESiamese: Energy-efficient Siamese Neural Network for Constrained Devices | 1-gen-2024 | Calisti, Lorenzo; Contoli, Chiara; Di Fabrizio, Giacomo; Kania, Nicholas; Lattanzi, Emanuele | |
Energy-aware Tiny Machine Learning for Sensor-based Hand-washing Recognition | 1-gen-2023 | Lattanzi, Emanuele; Calisti, Lorenzo | |
Lightweight accurate trigger to reduce power consumption in sensor-based continuous human activity recognition | 1-gen-2023 | Lattanzi, Emanuele; Calisti, Lorenzo; Capellacci, Paolo | |
Real-time Energy-efficient Sensor Libraries for Wearable Devices | 1-gen-2024 | Calisti, Lorenzo; Lattanzi, Emanuele | |
SensorLib: an Energy-efficient Sensor-collection Library for Wear OS | 1-gen-2024 | Calisti, Lorenzo; Lattanzi, Emanuele | |
Unstructured Handwashing Recognition Using Smartwatch to Reduce Contact Transmission of Pathogens | 1-gen-2022 | Lattanzi, Emanuele; Calisti, Lorenzo; Freschi, Valerio |