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Mostrati risultati da 1 a 20 di 116
Titolo Data di pubblicazione Autore(i) File
Teaching LLMs to Move: Generation of Human Activity Sensor Traces with BERT In corso di stampa Bigelli, L.; Bogliolo, A.; Calisti, L.; Contoli, C.; Kania, N.; Lattanzi, E.
Enhancing Stellar Distance Estimation with Uncertainty-Weighted Loss Functions in Deep Learning Models, In corso di stampa Kania, N.; Deborah, Busonero; Contoli, C.; Freschi, V.; Lattanzi, E.
IIoT portable laser line profilometer powered by AI for gap and flush measurement in automotive 1-gen-2025 Cristalli, Cristina; Nisi, Matteo; Chiariotti, Paolo; Lattanzi, Emanuele; Paone, Nicola
Inference-Driven Window Sizing for Enhanced Human Activity Recognition in IoT Devices 1-gen-2025 Kania, Nicholas; Contoli, Chiara; Freschi, Valerio; Lattanzi, Emanuele
Are Transformers a Useful Tool for Tiny devices in Human Activity Recognition? 1-gen-2025 Lattanzi, Emanuele; Calisti, Lorenzo; Contoli, Chiara
Balancing Accuracy and Energy: The Impact of Window Size on Sensor-Based Human Activity Recognition 1-gen-2025 Contoli, Chiara; Peretti, Susanna; Lattanzi, Emanuele
Deep Learning-based Data Collection to Reduce Energy Consumption in Internet of Things Devices 1-gen-2025 Calisti, Lorenzo; Lattanzi, Emanuele
Can LLMs Learn the Language of Inertial Sensors in Human Activity Recognition? 1-gen-2025 Bigelli, L.; Bogliolo, A.; Calisti, L.; Capellacci, P.; Contoli, C.; Kania, N.; Lattanzi, E.
Temporal Distance based Self-Supervised Learning for Human Activity Recognition 1-gen-2025 Bigelli, L.; Contoli, C.; Kania, N.; Lattanzi, E.
Semantic Template Recognition of Human Activities in Wearable Sensor Data Using Siamese Network 1-gen-2025 Lattanzi, Emanuele; Contoli, Chiara; Calisti, Lorenzo; Di Fabrizio, Giacomo; Kania, Nicholas; Peretti, Susanna
An Experimental Study on the Energy Efficiency of Feature Selection for Human Activity Recognition with Wrist-worn Devices 1-gen-2025 Peretti, Susanna; Contoli, Chiara; Lattanzi, Emanuele
EESiamese: Energy-efficient Siamese Neural Network for Constrained Devices 1-gen-2024 Calisti, Lorenzo; Contoli, Chiara; Di Fabrizio, Giacomo; Kania, Nicholas; Lattanzi, Emanuele
Tuning Intersection-Over-Union Algorithm to Enhance Tracking Performances 1-gen-2024 Calisti, L.; Contoli, C.; Kania, N.; Lattanzi, E
SensorLib: an Energy-efficient Sensor-collection Library for Wear OS 1-gen-2024 Calisti, Lorenzo; Lattanzi, Emanuele
Real-time Energy-efficient Sensor Libraries for Wearable Devices 1-gen-2024 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 Low-Cost IoT Sensor for Indoor Monitoring with Prediction-Based Data Collection 1-gen-2024 Capellacci, Paolo; Calisti, Lorenzo; Lattanzi, Emanuele
Energy-aware human activity recognition for wearable devices: A comprehensive review 1-gen-2024 Contoli, Chiara; Freschi, Valerio; Lattanzi, Emanuele
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
Privacy preservation in sensor-based Human Activity Recognition through autoencoders for low-power IoT devices 1-gen-2024 Bigelli, Leonardo; Contoli, Chiara; Freschi, Valerio; Lattanzi, Emanuele
Mostrati risultati da 1 a 20 di 116
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