Mattia Stighezza

11 papers Journal 3Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Flexible Multichannel Platform for Versatile E-Nose and E-Tongue Operations.
IEEE Trans. Instrum. Meas.
Mattia Stighezza, Ilaria De Munari, Michele Caselli, Andrea Boni, Valentina Bianchi
2025 — conf
A portable, low-power and low-cost Electronic Nose for Meat Freshness Assessment.
MetroInd4.0 & IoT
Mattia Stighezza, Valentina Bianchi, Ilaria De Munari
2025 — conf
Laser-Induced Graphene Electrodes for Wearable Electrochemical Analyses.
MetroInd4.0 & IoT
Vincenzo Vezzoni, Michele Setti, Pontiroli Daniele, Valentina Bianchi, Mattia Stighezza, Ilaria De Munari, Riccò Mauro
2024 — conf
An Optimized Long Short Term Memory and Gaussian Process Regression Based Framework for State of Charge Estimation.
MetroAutomotive
Sadia Ali, Mattia Stighezza, Giovanni Chiorboli, Ilaria De Munari, Valentina Bianchi
2024 J jnl
Evaluation of a Voltametric E-Tongue Combined with Data Preprocessing for Fast and Effective Machine Learning-Based Classification of Tomato Purées by Cultivar.
Sensors
Giulia Magnani, Chiara Giliberti, Davide Errico, Mattia Stighezza, Simone Fortunati, Monica Mattarozzi, Andrea Boni, Valentina Bianchi, Marco Giannetto, Ilaria De Munari, Stefano Cagnoni, Maria Careri
2024 — conf
FPGA Implementation of Support Vector Regression for Battery SoC Estimation.
MetroAutomotive
Gianfranco Lombardi, Mattia Stighezza, Ilaria De Munari, Valentina Bianchi
2024 — conf
Model-Based design of a Machine Learning algorithm for on-site food authenticity testing.
MetroInd4.0 & IoT
Mattia Stighezza, Giulia Magnani, Valentina Bianchi, Stefano Cagnoni, Andrea Boni, Chiara Giliberti, Davide Errico, Simone Fortunati, Marco Giannetto, Maria Careri, Ilaria De Munari
2023 J jnl
An Improved Method Based on Support Vector Regression With Application Independent Training for State of Charge Estimation.
IEEE Trans. Instrum. Meas.
Valentina Bianchi, Mattia Stighezza, Andrea Toscani, Giovanni Chiorboli, Ilaria De Munari
2023 — conf
Machine learning and impedance spectroscopy for battery state of charge evaluation.
MetroAutomotive
Mattia Stighezza, Roberto Ferrero, Valentina Bianchi, Ilaria De Munari
2022 — conf
A flexible machine learning based framework for state of charge evaluation.
MetroAutomotive
Mattia Stighezza, Valentina Bianchi, Andrea Toscani, Ilaria De Munari
2020 — conf
HDL Code Generation from SIMULINK Environment for Li-Ion Cells State of Charge and Parameter Estimation.
ApplePies
Mattia Stighezza, Valentina Bianchi, Ilaria De Munari