Kania, Nicholas
Kania, Nicholas
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
Can LLMs Learn the Language of Inertial Sensors in Human Activity Recognition?
2025 Bigelli, L.; Bogliolo, A.; Calisti, L.; Capellacci, P.; Contoli, C.; Kania, N.; Lattanzi, E.
EESiamese: Energy-efficient Siamese Neural Network for Constrained Devices
2024 Calisti, Lorenzo; Contoli, Chiara; Di Fabrizio, Giacomo; Kania, Nicholas; Lattanzi, Emanuele
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.
Inference-Driven Window Sizing for Enhanced Human Activity Recognition in IoT Devices
2025 Kania, Nicholas; Contoli, Chiara; Freschi, Valerio; Lattanzi, Emanuele
Semantic Template Recognition of Human Activities in Wearable Sensor Data Using Siamese Network
2025 Lattanzi, Emanuele; Contoli, Chiara; Calisti, Lorenzo; Di Fabrizio, Giacomo; Kania, Nicholas; Peretti, Susanna
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.
Temporal Distance based Self-Supervised Learning for Human Activity Recognition
2025 Bigelli, L.; Contoli, C.; Kania, N.; Lattanzi, E.
Tuning Intersection-Over-Union Algorithm to Enhance Tracking Performances
2024 Calisti, L.; Contoli, C.; Kania, N.; Lattanzi, E
| 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 | |
| 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. | |
| EESiamese: Energy-efficient Siamese Neural Network for Constrained Devices | 1-gen-2024 | Calisti, Lorenzo; Contoli, Chiara; Di Fabrizio, Giacomo; Kania, Nicholas; Lattanzi, Emanuele | |
| 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. | |
| Inference-Driven Window Sizing for Enhanced Human Activity Recognition in IoT Devices | 1-gen-2025 | Kania, Nicholas; Contoli, Chiara; Freschi, Valerio; Lattanzi, Emanuele | |
| 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 | |
| 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. | |
| Temporal Distance based Self-Supervised Learning for Human Activity Recognition | 1-gen-2025 | Bigelli, L.; Contoli, C.; Kania, N.; Lattanzi, E. | |
| Tuning Intersection-Over-Union Algorithm to Enhance Tracking Performances | 1-gen-2024 | Calisti, L.; Contoli, C.; Kania, N.; Lattanzi, E |