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Massimiliano Luzi
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2020 – today
- 2022
- [d1]Massimiliano Luzi:
Automotive Li-ion Cell Usage Data Set. IEEE DataPort, 2022 - 2020
- [j4]Stefano Leonori, Alessio Martino, Massimiliano Luzi, Fabio Massimo Frattale Mascioli, Antonello Rizzi:
A generalized framework for ANFIS synthesis procedures by clustering techniques. Appl. Soft Comput. 96: 106622 (2020) - [j3]Massimiliano Luzi, Fabio Massimo Frattale Mascioli, Maurizio Paschero, Antonello Rizzi:
A White-Box Equivalent Neural Network Circuit Model for SoC Estimation of Electrochemical Cells. IEEE Trans. Neural Networks Learn. Syst. 31(2): 371-382 (2020) - [p2]Alessio Martino, Mauro Giampieri, Massimiliano Luzi, Antonello Rizzi:
Data Mining by Evolving Agents for Clusters Discovery and Metric Learning. Neural Advances in Processing Nonlinear Dynamic Signals 2020: 23-35 - [p1]Massimiliano Luzi, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
An Improved PSO for Flexible Parameters Identification of Lithium Cells Equivalent Circuit Models. Neural Advances in Processing Nonlinear Dynamic Signals 2020: 229-238
2010 – 2019
- 2019
- [j2]Massimiliano Luzi, Maurizio Paschero, Antonello Rizzi, Enrico Maiorino, Fabio Massimo Frattale Mascioli:
A Novel Neural Networks Ensemble Approach for Modeling Electrochemical Cells. IEEE Trans. Neural Networks Learn. Syst. 30(2): 343-354 (2019) - 2018
- [c5]Antonino Capillo, Massimiliano Luzi, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
Energy Transduction Optimization of a Wave Energy Converter by Evolutionary Algorithms. IJCNN 2018: 1-8 - [c4]Massimiliano Luzi, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
An ANFIS Based System Identification Procedure for Modeling Electrochemical Cells. IJCNN 2018: 1-8 - [c3]Massimiliano Luzi, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
A Binary PSO Approach for Real Time Optimal Balancing of Electrochemical Cells. IJCNN 2018: 1-8 - 2017
- [j1]Antonello Rizzi, Mario Antonelli, Massimiliano Luzi:
Instrument Learning and Sparse NMD for Automatic Polyphonic Music Transcription. IEEE Trans. Multim. 19(7): 1405-1415 (2017) - 2016
- [c2]Massimiliano Luzi, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
A PSO algorithm for transient dynamic modeling of lithium cells through a nonlinear RC filter. CEC 2016: 279-286 - [c1]Massimiliano Luzi, Maurizio Paschero, Angelo Rossini, Antonello Rizzi, Fabio Massimo Frattale Mascioli:
Comparison between two nonlinear Kalman Filters for reliable SoC estimation on a prototypal BMS. IECON 2016: 5501-5506
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