VITELLI, Michele
VITELLI, Michele
Dipartimento di Ingegneria Elettrica e dell'Informazione "Maurizio Scarano"
A False Positive Reduction System for Continuous Water Quality Monitoring
2021-01-01 Bria, A.; Ferrigno, L.; Gerevini, L.; Marrocco, C.; Molinara, M.; Bruschi, P.; Cicalini, M.; Manfredini, G.; Ria, A.; Cerro, G.; Simmarano, R.; Teolis, G.; Vitelli, M.
A new Dataset for Detection of Illegal or Suspicious Spilling in Wastewater through Low-cost Real-time Sensors
2022-01-01 Molinara, Mario; Bourelly, Carmine; Ferrigno, Luigi; Gerevini, Luca; Vitelli, M.; Ria, A.; Magliocca, F.; Ruscitti, L.; Simmarano, R.; Trynda, A.; Olejnik, P.
A Statistical Approach for Electrochemical Impedance Spectroscopy Analysis on LFP Batteries’ State of Charge
2023-01-01 Tari, L.; Bourelly, C.; Vitelli, M.; Milano, F.; Molinara, M.; Ferrigno, L.
An ASIC-based miniaturized system for online multi-measurand monitoring of lithium-ion batteries
2021-01-01 Manfredini, G.; Ria, A.; Bruschi, P.; Gerevini, L.; Vitelli, M.; Molinara, M.; Piotto, M.
An end-to-end real-time pollutants spilling recognition in wastewater based on the IoT-ready SENSIPLUS platform
2023-01-01 Gerevini, L.; Cerro, G.; Bria, A.; Marrocco, C.; Ferrigno, L.; Vitelli, M.; Ria, A.; Molinara, M.
An Open Source C Code Generator and a Tiny Machine Learning Toolchain for the SENSIPLUS Platform
2022-01-01 Bria, A.; Ferrigno, L.; Marrocco, C.; Molinara, M.; Vitelli, M.; Ria, A.; Cicalini, M.; Manfredini, G.; Bruschi, P.
Artificial Intelligence “at the Edge” for Resource-Constrained Devices Based on SENSIPLUS Technology
2024-12-18 Vitelli, Michele
Comparative Analysis of SoC Estimation in Batteries using SFRA and EIS
2024-01-01 Miele, A.; Vitelli, M.; Sardellitti, A.; Milano, F.; Molinara, M.; Ferrigno, L.; Ciancetta, F.; Mari, S.
Detection of Wastewater Pollution through Natural Language Generation with a Low-Cost Sensing Platform
2023-01-01 Roitero, K.; Portelli, B.; Serra, G.; Mea, V. D.; Mizzaro, S.; Cerro, G.; Vitelli, M.; Molinara, M.
EIS-Based SoC Estimation: A Novel Measurement Method for Optimizing Accuracy and Measurement Time
2023-01-01 Bourelly, Carmine; Vitelli, Michele; Milano, Filippo; Molinara, Mario; Fontanella, Francesco; Ferrigno, Luigi
GA-Based Features Selection for Electro-chemical Impedance Spectroscopy on Lithium Iron Phosphate Batteries
2023-01-01 Bourelly, C.; Vitelli, M.; Milano, F.; Molinara, M.; Fontanella, F.; Ferrigno, L.
Interim results of the H2020 3beLiEVe project: battery material selection, cell prototyping, battery module and pack design and manufacturing process modelling for Generation 3b LNMO cells
2023-01-01 De Gennaro, M.; Ganev, B.; Dirnbauer, D.; Frohlich, K.; Otaegui, L.; Cabello, M.; Cottet, R.; Sonnenberger, R.; Manfredini, G.; Vitelli, M.; Rahmanipour, M.; Lanciotti, C.
Investigation of Wearable SENSIPLUS Chip for Bioimpedance Measurements
2024-01-01 Giannini, L.; Asquini, R.; Vitelli, M.; Piuzzi, E.
New One Data Wire Serial Bus for Distributed Sensor Arrays
2024-01-01 Balocchi, L.; Vitelli, M.; Contardi, S.; Nannipieri, I.; Bruschi, P.; Bonafoni, S.; Roselli, L.
On the Usage of Battery Equivalent Series Resistance for Shuntless Coulomb Counting and SOC Estimation
2023-01-01 De Angelis, A.; Carbone, P.; Santoni, F.; Vitelli, M.; Ruscitti, L.
Online High-Resolution EIS of Lithium-Ion Batteries by Means of Compact and Low Power ASIC
2023-01-01 Ria, A.; Manfredini, G.; Gagliardi, F.; Vitelli, M.; Bruschi, P.; Piotto, M.
SENSIBUS: A Novel One Wire Protocol for Smart Sensors
2024-01-01 Balocchi, L.; Vitelli, M.; Molinara, M.; Bonafoni, S.; Roselli, L.; Contardi, S.; Nannipieri, I.
SENSIPLUS-LM: A Low-Cost EIS-Enabled Microchip Enhanced with an Open-Source Tiny Machine Learning Toolchain
2023-01-01 Vitelli, M.; Cerro, G.; Gerevini, L.; Miele, G.; Ria, A.; Molinara, M.
SoC estimation on Li-ion batteries: A new EIS-based dataset for data-driven applications
2024-01-01 Mustafa, H.; Bourelly, C.; Vitelli, M.; Milano, F.; Molinara, M.; Ferrigno, L.
UniCas for Industry
2024-01-01 Miele, Alessio; Mustafa, Hamza; Vitelli, Michele; Bria, Alessandro; DE STEFANO, Claudio; Fontanella, Francesco; Marrocco, Claudio; Molinara, Mario; SCOTTO DI FRECA, Alessandra
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A False Positive Reduction System for Continuous Water Quality Monitoring | 1-gen-2021 | Bria, A.; Ferrigno, L.; Gerevini, L.; Marrocco, C.; Molinara, M.; Bruschi, P.; Cicalini, M.; Manfredini, G.; Ria, A.; Cerro, G.; Simmarano, R.; Teolis, G.; Vitelli, M. | |
| A new Dataset for Detection of Illegal or Suspicious Spilling in Wastewater through Low-cost Real-time Sensors | 1-gen-2022 | Molinara, Mario; Bourelly, Carmine; Ferrigno, Luigi; Gerevini, Luca; Vitelli, M.; Ria, A.; Magliocca, F.; Ruscitti, L.; Simmarano, R.; Trynda, A.; Olejnik, P. | |
| A Statistical Approach for Electrochemical Impedance Spectroscopy Analysis on LFP Batteries’ State of Charge | 1-gen-2023 | Tari, L.; Bourelly, C.; Vitelli, M.; Milano, F.; Molinara, M.; Ferrigno, L. | |
| An ASIC-based miniaturized system for online multi-measurand monitoring of lithium-ion batteries | 1-gen-2021 | Manfredini, G.; Ria, A.; Bruschi, P.; Gerevini, L.; Vitelli, M.; Molinara, M.; Piotto, M. | |
| An end-to-end real-time pollutants spilling recognition in wastewater based on the IoT-ready SENSIPLUS platform | 1-gen-2023 | Gerevini, L.; Cerro, G.; Bria, A.; Marrocco, C.; Ferrigno, L.; Vitelli, M.; Ria, A.; Molinara, M. | |
| An Open Source C Code Generator and a Tiny Machine Learning Toolchain for the SENSIPLUS Platform | 1-gen-2022 | Bria, A.; Ferrigno, L.; Marrocco, C.; Molinara, M.; Vitelli, M.; Ria, A.; Cicalini, M.; Manfredini, G.; Bruschi, P. | |
| Artificial Intelligence “at the Edge” for Resource-Constrained Devices Based on SENSIPLUS Technology | 18-dic-2024 | Vitelli, Michele | |
| Comparative Analysis of SoC Estimation in Batteries using SFRA and EIS | 1-gen-2024 | Miele, A.; Vitelli, M.; Sardellitti, A.; Milano, F.; Molinara, M.; Ferrigno, L.; Ciancetta, F.; Mari, S. | |
| Detection of Wastewater Pollution through Natural Language Generation with a Low-Cost Sensing Platform | 1-gen-2023 | Roitero, K.; Portelli, B.; Serra, G.; Mea, V. D.; Mizzaro, S.; Cerro, G.; Vitelli, M.; Molinara, M. | |
| EIS-Based SoC Estimation: A Novel Measurement Method for Optimizing Accuracy and Measurement Time | 1-gen-2023 | Bourelly, Carmine; Vitelli, Michele; Milano, Filippo; Molinara, Mario; Fontanella, Francesco; Ferrigno, Luigi | |
| GA-Based Features Selection for Electro-chemical Impedance Spectroscopy on Lithium Iron Phosphate Batteries | 1-gen-2023 | Bourelly, C.; Vitelli, M.; Milano, F.; Molinara, M.; Fontanella, F.; Ferrigno, L. | |
| Interim results of the H2020 3beLiEVe project: battery material selection, cell prototyping, battery module and pack design and manufacturing process modelling for Generation 3b LNMO cells | 1-gen-2023 | De Gennaro, M.; Ganev, B.; Dirnbauer, D.; Frohlich, K.; Otaegui, L.; Cabello, M.; Cottet, R.; Sonnenberger, R.; Manfredini, G.; Vitelli, M.; Rahmanipour, M.; Lanciotti, C. | |
| Investigation of Wearable SENSIPLUS Chip for Bioimpedance Measurements | 1-gen-2024 | Giannini, L.; Asquini, R.; Vitelli, M.; Piuzzi, E. | |
| New One Data Wire Serial Bus for Distributed Sensor Arrays | 1-gen-2024 | Balocchi, L.; Vitelli, M.; Contardi, S.; Nannipieri, I.; Bruschi, P.; Bonafoni, S.; Roselli, L. | |
| On the Usage of Battery Equivalent Series Resistance for Shuntless Coulomb Counting and SOC Estimation | 1-gen-2023 | De Angelis, A.; Carbone, P.; Santoni, F.; Vitelli, M.; Ruscitti, L. | |
| Online High-Resolution EIS of Lithium-Ion Batteries by Means of Compact and Low Power ASIC | 1-gen-2023 | Ria, A.; Manfredini, G.; Gagliardi, F.; Vitelli, M.; Bruschi, P.; Piotto, M. | |
| SENSIBUS: A Novel One Wire Protocol for Smart Sensors | 1-gen-2024 | Balocchi, L.; Vitelli, M.; Molinara, M.; Bonafoni, S.; Roselli, L.; Contardi, S.; Nannipieri, I. | |
| SENSIPLUS-LM: A Low-Cost EIS-Enabled Microchip Enhanced with an Open-Source Tiny Machine Learning Toolchain | 1-gen-2023 | Vitelli, M.; Cerro, G.; Gerevini, L.; Miele, G.; Ria, A.; Molinara, M. | |
| SoC estimation on Li-ion batteries: A new EIS-based dataset for data-driven applications | 1-gen-2024 | Mustafa, H.; Bourelly, C.; Vitelli, M.; Milano, F.; Molinara, M.; Ferrigno, L. | |
| UniCas for Industry | 1-gen-2024 | Miele, Alessio; Mustafa, Hamza; Vitelli, Michele; Bria, Alessandro; DE STEFANO, Claudio; Fontanella, Francesco; Marrocco, Claudio; Molinara, Mario; SCOTTO DI FRECA, Alessandra |