STIGHEZZA, MATTIA
STIGHEZZA, MATTIA
Dipartimento di Ingegneria e Architettura
A flexible machine learning based framework for state of charge evaluation
2022-01-01 Stighezza, M.; Bianchi, V.; Toscani, A.; De Munari, I.
A Flexible Multi-Channel Platform for Versatile E-Nose and E-Tongue Operations
2025-01-01 Stighezza, Mattia; Munari, Ilaria De; Caselli, Michele; Boni, Andrea; Bianchi, Valentina
A portable, low-power and low-cost Electronic Nose for Meat Freshness Assessment
2025-01-01 Stighezza, Mattia; Bianchi, Valentina; De Munari, Ilaria
Aging modelling of Li-ion battery systems based on accelerated tests
2025-01-01 Toscani, A.; Stighezza, M.; Simonazzi, M.; Delmonte, N.; Cova, P.; Bianchi, V.; De Munari, I.
An Improved Method Based on Support Vector Regression with Application Independent Training for State of Charge Estimation
2023-01-01 Bianchi, V.; Stighezza, M.; Toscani, A.; Chiorboli, G.; De Munari, I.
An Optimized Long Short Term Memory and Gaussian Process Regression Based Framework For State Of Charge Estimation
2024-01-01 Ali, S.; Stighezza, M.; Chiorboli, G.; De Munari, I.; Bianchi, V.
Evaluation of a Voltametric E-Tongue Combined with Data Preprocessing for Fast and Effective Machine Learning-Based Classification of Tomato Purées by Cultivar
2024-01-01 Magnani, Giulia; Giliberti, Chiara; Errico, Davide; Stighezza, Mattia; Fortunati, Simone; Mattarozzi, Monica; Boni, Andrea; Bianchi, Valentina; Giannetto, Marco; De Munari, Ilaria; Cagnoni, Stefano; Careri, Maria
FPGA Implementation of an Ant Colony Optimization Based SVM Algorithm for State of Charge Estimation in Li-Ion Batteries
2021-01-01 Stighezza, Mattia; Bianchi, Valentina; DE MUNARI, Ilaria
FPGA Implementation of Support Vector Regression for Battery SoC Estimation
2024-01-01 Lombardi, G.; Stighezza, M.; De Munari, I.; Bianchi, V.
HDL Code Generation from SIMULINK Environment for Li-Ion Cells State of Charge and Parameter Estimation
2021-01-01 Stighezza, Mattia; Bianchi, Valentina; De Munari, Ilaria
Laser-Induced Graphene Electrodes for Wearable Electrochemical Analyses
2025-01-01 Vezzoni, Vincenzo; Setti, Michele; Pontiroli, Daniele; Bianchi, Valentina; Stighezza, Mattia; Munari, Ilaria De; Ricco', Mauro
Machine learning and impedance spectroscopy for battery state of charge evaluation
2023-01-01 Stighezza, M.; Ferrero, R.; Bianchi, V.; De Munari, I.
Machine Learning-Enhanced Flexible IL-6 Sensor for Rapid Threshold Detection
2025-01-01 Ploner, M.; Stighezza, M.; Shkodra, B.; Bianchi, V.; Antrack, T.; Vanzetti, L.; Canteri, R.; Resnati, D.; Boni, A.; De Munari, I.; Lugli, P.; Petti, L.
Model-Based design of a Machine Learning algorithm for on-site food authenticity testing
2024-01-01 Stighezza, M.; Magnani, G.; Bianchi, V.; Cagnoni, S.; Boni, A.; Giliberti, C.; Errico, D.; Fortunati, S.; Giannetto, M.; Careri, M.; De Munari, I.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A flexible machine learning based framework for state of charge evaluation | 1-gen-2022 | Stighezza, M.; Bianchi, V.; Toscani, A.; De Munari, I. | |
| A Flexible Multi-Channel Platform for Versatile E-Nose and E-Tongue Operations | 1-gen-2025 | Stighezza, Mattia; Munari, Ilaria De; Caselli, Michele; Boni, Andrea; Bianchi, Valentina | |
| A portable, low-power and low-cost Electronic Nose for Meat Freshness Assessment | 1-gen-2025 | Stighezza, Mattia; Bianchi, Valentina; De Munari, Ilaria | |
| Aging modelling of Li-ion battery systems based on accelerated tests | 1-gen-2025 | Toscani, A.; Stighezza, M.; Simonazzi, M.; Delmonte, N.; Cova, P.; Bianchi, V.; De Munari, I. | |
| An Improved Method Based on Support Vector Regression with Application Independent Training for State of Charge Estimation | 1-gen-2023 | Bianchi, V.; Stighezza, M.; Toscani, A.; Chiorboli, G.; De Munari, I. | |
| An Optimized Long Short Term Memory and Gaussian Process Regression Based Framework For State Of Charge Estimation | 1-gen-2024 | Ali, S.; Stighezza, M.; Chiorboli, G.; De Munari, I.; Bianchi, V. | |
| Evaluation of a Voltametric E-Tongue Combined with Data Preprocessing for Fast and Effective Machine Learning-Based Classification of Tomato Purées by Cultivar | 1-gen-2024 | Magnani, Giulia; Giliberti, Chiara; Errico, Davide; Stighezza, Mattia; Fortunati, Simone; Mattarozzi, Monica; Boni, Andrea; Bianchi, Valentina; Giannetto, Marco; De Munari, Ilaria; Cagnoni, Stefano; Careri, Maria | |
| FPGA Implementation of an Ant Colony Optimization Based SVM Algorithm for State of Charge Estimation in Li-Ion Batteries | 1-gen-2021 | Stighezza, Mattia; Bianchi, Valentina; DE MUNARI, Ilaria | |
| FPGA Implementation of Support Vector Regression for Battery SoC Estimation | 1-gen-2024 | Lombardi, G.; Stighezza, M.; De Munari, I.; Bianchi, V. | |
| HDL Code Generation from SIMULINK Environment for Li-Ion Cells State of Charge and Parameter Estimation | 1-gen-2021 | Stighezza, Mattia; Bianchi, Valentina; De Munari, Ilaria | |
| Laser-Induced Graphene Electrodes for Wearable Electrochemical Analyses | 1-gen-2025 | Vezzoni, Vincenzo; Setti, Michele; Pontiroli, Daniele; Bianchi, Valentina; Stighezza, Mattia; Munari, Ilaria De; Ricco', Mauro | |
| Machine learning and impedance spectroscopy for battery state of charge evaluation | 1-gen-2023 | Stighezza, M.; Ferrero, R.; Bianchi, V.; De Munari, I. | |
| Machine Learning-Enhanced Flexible IL-6 Sensor for Rapid Threshold Detection | 1-gen-2025 | Ploner, M.; Stighezza, M.; Shkodra, B.; Bianchi, V.; Antrack, T.; Vanzetti, L.; Canteri, R.; Resnati, D.; Boni, A.; De Munari, I.; Lugli, P.; Petti, L. | |
| Model-Based design of a Machine Learning algorithm for on-site food authenticity testing | 1-gen-2024 | Stighezza, M.; Magnani, G.; Bianchi, V.; Cagnoni, S.; Boni, A.; Giliberti, C.; Errico, D.; Fortunati, S.; Giannetto, M.; Careri, M.; De Munari, I. |