Federica Zonzini

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Compressed Sensing

Convolutional Neural Networks

Edge Localization

Top Venues

IEEE Trans. Ind. Informatics

Publications

Edoardo Ragusa, Federica Zonzini, Paolo Gastaldo, Luca De Marchi
Combining Compressed Sensing and Neural Architecture Search for Sensor-Near Vibration Diagnostics. IEEE Trans. Ind. Informatics 20 (8) (2024)
Lorenzo Gigli, Ivan D. Zyrianoff, Federica Zonzini, Denis Bogomolov, Nicola Testoni, Marco Di Felice, Luca De Marchi, Giuseppe Augugliaro, Canio Mennuti, Alessandro Marzani
Next Generation Edge-Cloud Continuum Architecture for Structural Health Monitoring. IEEE Trans. Ind. Informatics 20 (4) (2024)
Federica Zonzini, Nicola Testoni, Antonio Palermo, Luca De Marchi, Canio Mennuti, Giuseppe Augugliaro, Alessandro Marzani
Green Wireless Sensing Network for Structural Health Monitoring: A Vertical Approach. M&N (2024)
Federica Zonzini, Letizia Burioli, Andi Gashi, Nicola Francesco Mancini, Luca De Marchi
A Tiny Convolutional Neural Network driven by System Identification for Vibration Anomaly Detection at the Extreme Edge. COINS (2023)
Federico Montori, Ivan D. Zyrianoff, Lorenzo Gigli, Alessandro Calvio, Riccardo Venanzi, Simone Sindaco, Luca Sciullo, Federica Zonzini, Matteo Zauli, Nicola Testoni, Alessandro Bertacchini, Elisa Londero, Enrico Alessi, Marco Di Felice, Luciano Bononi, Paolo Bellavista, Luca De Marchi, Alessandro Marzani, Paolo Azzoni, Tullio Salmon Cinotti
An IoT Toolchain Architecture for Planning, Running and Managing a Complete Condition Monitoring Scenario. IEEE Access 11 (2023)
Federica Zonzini, Edoardo Ragusa, Luca De Marchi, Paolo Gastaldo
Evaluating the Effect of Intrinsic Sensor Noise for Vibration Diagnostic in the Compressed Domain Using Convolutional Neural Networks. ApplePies (2023)
Stefano Taccetti, Lorenzo Mistral Peppi, Federica Zonzini, Masoud Mohammadgholiha, Matteo Zauli, Luca De Marchi
Design of a Novel Pulser for Frequency Selective-based Power and Data Transmission. MetroAutomotive (2023)
Giacomo Donati, Federica Zonzini, Luca De Marchi
Tiny Deep Learning Architectures Enabling Sensor-Near Acoustic Data Processing and Defect Localization. Comput. 12 (7) (2023)
Federica Zonzini, Antonio Carbone, Francesca Romano, Matteo Zauli, Luca De Marchi
Machine Learning Meets Compressed Sensing in Vibration-Based Monitoring. Sensors 22 (6) (2022)
Federica Zonzini, Matteo Zauli, Luca De Marchi
eSysId: Embedded System Identification for Vibration Monitoring at the Extreme Edge. ApplePies (2022)
Federica Zonzini, Denis Bogomolov, Tanush Dhamija, Nicola Testoni, Luca De Marchi, Alessandro Marzani
Deep Learning Approaches for Robust Time of Arrival Estimation in Acoustic Emission Monitoring. Sensors 22 (3) (2022)
Federica Zonzini, Vasilis K. Dertimanis, Eleni N. Chatzi, Luca De Marchi
System Identification at the Extreme Edge for Network Load Reduction in Vibration-Based Monitoring. IEEE Internet Things J. 9 (20) (2022)
Federica Zonzini, Giacomo Donati, Luca De Marchi
A Tiny Machine Learning Approach to the Edge Localization of Acoustic Sources via Convolutional Neural Networks. SYSINT (2022)
Federico Montori, Ivan D. Zyrianoff, Lorenzo Gigli, Riccardo Venanzi, Simone Sindaco, Cristiano Aguzzi, Federica Zonzini, Matteo Zauli, Nicola Testoni, Enrico Alessi, Marco Di Felice, Luciano Bononi, Paolo Bellavista, Luca De Marchi, Tullio Salmon Cinotti
A Toolchain Architecture for Condition Monitoring Using the Eclipse Arrowhead Framework. IECON (2021)
Cristiano Aguzzi, Lorenzo Gigli, Luca Sciullo, Angelo Trotta, Federica Zonzini, Luca De Marchi, Marco Di Felice, Alessandro Marzani, Tullio Salmon Cinotti
MODRON: A Scalable and Interoperable Web of Things Platform for Structural Health Monitoring. CCNC (2021)
Federica Zonzini, Matteo Zauli, Mauro Mangia, Nicola Testoni, Luca De Marchi
Model-Assisted Compressed Sensing for Vibration-Based Structural Health Monitoring. IEEE Trans. Ind. Informatics 17 (11) (2021)
Federica Zonzini, Alberto Girolami, Luca De Marchi, Alessandro Marzani, Davide Brunelli
Cluster-Based Vibration Analysis of Structures With GSP. IEEE Trans. Ind. Electron. 68 (4) (2021)
Federica Zonzini, Michelangelo Maria Malatesta, Denis Bogomolov, Nicola Testoni, Alessandro Marzani, Luca De Marchi
Vibration-Based SHM With Upscalable and Low-Cost Sensor Networks. IEEE Trans. Instrum. Meas. 69 (10) (2020)
Christian Kexel, Nicola Testoni, Federica Zonzini, Jochen Moll, Luca De Marchi
Low-Power MIMO Guided-Wave Communication. IEEE Access 8 (2020)
Federica Zonzini, Cristiano Aguzzi, Lorenzo Gigli, Luca Sciullo, Nicola Testoni, Luca De Marchi, Marco Di Felice, Tullio Salmon Cinotti, Canio Mennuti, Alessandro Marzani
Structural Health Monitoring and Prognostic of Industrial Plants and Civil Structures: A Sensor to Cloud Architecture. IEEE Instrum. Meas. Mag. 23 (9) (2020)
Federica Zonzini, Matteo Zauli, Antonio Carbone, Francesca Romano, Nicola Testoni, Luca De Marchi
Hardware-Oriented Data Recovery Algorithms for Compressed Sensing-Based Vibration Diagnostics. ApplePies (2020)
Federica Zonzini, Alberto Girolami, Davide Brunelli, Nicola Testoni, Alessandro Marzani, Luca De Marchi
A Graph Signal Processing Technique for Vibration Analysis with Clustered Sensor Networks. ApplePies (2019)
Federica Zonzini, Michelangelo Maria Malatesta, Denis Bogomolov, Nicola Testoni, Luca De Marchi, Alessandro Marzani
Heterogeneous Sensor-network for Vibration-based SHM. M&N (2019)
Federica Zonzini, Luca De Marchi, Nicola Testoni
A Small Footprint, Low Power, and Light Weight Sensor Node and Dedicated Processing for Modal Analysis. Sensors (2018)
Alberto Girolami, Federica Zonzini, Luca De Marchi, Davide Brunelli, Luca Benini
Modal Analysis of Structures with Low-cost Embedded Systems. ISCAS (2018)
Nicola Testoni, Cristiano Aguzzi, Valentina Arditi, Federica Zonzini, Luca De Marchi, Alessandro Marzani, Tullio Salmon Cinotti
A Sensor Network with Embedded Data Processing and Data-to-Cloud Capabilities for Vibration-Based Real-Time SHM. J. Sensors 2018 (2018)