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Mostrati risultati da 1 a 20 di 96
Titolo Data di pubblicazione Autore(i) File
A Study on the energy-efficiency of the Object Tracking Algorithms in Edge Devices In corso di stampa Di Fabrizio, Giacomo; Calisti, Lorenzo; Contoli, Chiara; Kania, Nicholas; Lattanzi, Emanuele
SensorLib: an Energy-efficient Sensor-collection Library for Wear OS In corso di stampa Calisti, Lorenzo; Lattanzi, Emanuele
A Study on the Energy Sustainability of Early Exit Networks for Human Activity Recognition 1-gen-2024 Lattanzi, Emanuele; Contoli, Chiara; Freschi, Valerio
A Study on the Application of TensorFlow Compression Techniques to Human Activity Recognition 1-gen-2023 Contoli, Chiara; Lattanzi, Emanuele
Do we need early exit networks in human activity recognition? 1-gen-2023 Lattanzi, Emanuele; Contoli, Chiara; Freschi, Valerio
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.
Lightweight accurate trigger to reduce power consumption in sensor-based continuous human activity recognition 1-gen-2023 Lattanzi, Emanuele; Calisti, Lorenzo; Capellacci, Paolo
Energy efficiency of Deep Learning Compression Techniques in Wearable Human Activity Recognition 1-gen-2023 Contoli, Chiara; Lattanzi, Emanuele
Energy-aware Tiny Machine Learning for Sensor-based Hand-washing Recognition 1-gen-2023 Lattanzi, Emanuele; Calisti, Lorenzo
On the Decentralization of Health Systems for Data Availability: a DLT-based Architecture 1-gen-2023 Bigini, Gioele; Zichichi, Mirko; Lattanzi, Emanuele; Ferretti, Stefano; D'Angelo, Gabriele
A Machine Learning Enabled Hall-Effect IoT-System for Monitoring Building Vibrations 1-gen-2023 Lattanzi, Emanuele; Capellacci, Paolo; Freschi, Valerio
Toward the InterPlanetary Health Layer for the Internet of Medical Things With Distributed Ledgers and Storages 1-gen-2022 Bigini, Gioele; Lattanzi, Emanuele
Evaluation of a sampling approach for computationally efficient uncertainty quantification in regression learning models 1-gen-2022 Freschi, Valerio; Lattanzi, Emanuele
Decentralized Health Data Distribution: a DLT-based Architecture for Data Protection 1-gen-2022 Bigini, Gioele; Zichichi, Mirko; Lattanzi, Emanuele; Ferretti, Stefano; D’Angelo, Gabriele
Exploring Artificial Neural Networks Efficiency in Tiny Wearable Devices for Human Activity Recognition 1-gen-2022 Lattanzi, Emanuele; Donati, Matteo; Freschi, Valerio
Unstructured Handwashing Recognition Using Smartwatch to Reduce Contact Transmission of Pathogens 1-gen-2022 Lattanzi, Emanuele; Calisti, Lorenzo; Freschi, Valerio
Decentralising the Internet of Medical Things with Distributed Ledger Technologies and Off-Chain Storages: a Proof of Concept 1-gen-2021 Bigini, Gioele; Freschi, Valerio; Bogliolo, Alessandro; Lattanzi, Emanuele
Machine Learning Techniques to Identify Unsafe Driving Behavior by Means of In-Vehicle Sensor Data 1-gen-2021 Lattanzi, Emanuele; Freschi, Valerio
A Prim-Dijkstra Algorithm for Multi-Hop Calibration of Networked Embedded Systems 1-gen-2021 Freschi, Valerio; Lattanzi, Emanuele
Experimental Evaluation of the Impact of Packet Length on Wireless Sensor Networks Subject to Interference 1-gen-2020 Lattanzi, Emanuele; Capellacci, Paolo; Freschi, Valerio
Mostrati risultati da 1 a 20 di 96
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