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Journal Articles
- 2024
[j4]Antonio Nocera, Linda Senigagliesi, Michela Raimondi, Gianluca Ciattaglia, Ennio Gambi:
Machine Learning in RADAR-Based Physiological Signals Sensing: A Scoping Review of the Models, Datasets, and Metrics. IEEE Access 12: 156082-156117 (2024)- [j3]Antonio Nocera
, Linda Senigagliesi, Gianluca Ciattaglia, Michela Raimondi, Ennio Gambi:
ML-Based Edge Node for Monitoring Peoples' Frailty Status. Sensors 24(13): 4386 (2024) - 2023
- [j2]Antonio Nocera, Agnese Sbrollini, Sofia Romagnoli, Micaela Morettini, Ennio Gambi, Laura Burattini:
Physiological and Biomechanical Monitoring in American Football Players: A Scoping Review. Sensors 23(7): 3538 (2023) - 2022
- [j1]Francesco Di Nardo, Antonio Nocera, Alessandro Cucchiarelli, Sandro Fioretti, Christian Morbidoni:
Machine Learning for Detection of Muscular Activity from Surface EMG Signals. Sensors 22(9): 3393 (2022)
Conference and Workshop Papers
- 2024
- [c6]Gianluca Ciattaglia, Adelmo De Santis, Linda Senigagliesi, Michela Raimondi, Martino Scialpi, Giuliano Molinelli, Antonio Nocera, Ennio Gambi:
Performance Evaluation of Commercial Smartwatch GPS in Obstructed Positions. ICCE 2024: 1-2 - [c5]Antonio Nocera, Gianluca Ciattaglia, Michela Raimondi, Linda Senigagliesi, Ennio Gambi:
Identification of Smartphone Zombies and Normal Pedestrians Using FMCW Radar and Machine Learning. ICCE 2024: 1-4 - [c4]Gianluca Ciattaglia, Adelmo De Santis, Linda Senigagliesi, Michela Raimondi, Antonio Nocera, Ennio Gambi, Susanna Spinsante:
The Impact of Automotive Radar Configuration on Power Consumption: The Case of TI AWR1843. MetroAutomotive 2024: 29-34 - 2023
- [c3]Antonio Nocera, Linda Senigagliesi, Gianluca Ciattaglia, Ennio Gambi:
Walking Pattern Identification of FMCW Radar Data based on a Combined CNN and bi-LSTM Approach. CBMS 2023: 275-280 - [c2]Sofia Romagnoli, Agnese Sbrollini, Antonio Nocera, Micaela Morettini, Ennio Gambi, Danilo Bondi, Tiziana Pietrangelo, Vittore Verratti, Laura Burattini:
Sport DB 2.0: A New Database of Data Acquired by Wearable and Portable Devices While Practicing Sport. CinC 2023: 1-4 - [c1]Linda Senigagliesi, Antonio Nocera, Matteo Angelini, Davide De Grazia, Gianluca Ciattaglia, Fabiola Olivieri, Maria Rita Rippo, Ennio Gambi:
A Deep Learning Approach to Remotely Monitor People's Frailty Status. ISCC 2023: 1-4
Coauthor Index
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