STIGHEZZA, MATTIA

STIGHEZZA, MATTIA  

Dipartimento di Ingegneria e Architettura  

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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.
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
Machine learning and impedance spectroscopy for battery state of charge evaluation 1-gen-2023 Stighezza, M.; Ferrero, R.; Bianchi, V.; De Munari, I.
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.