Massimiliano Luzi

Orcid: 0000-0003-4853-3001

According to our database1, Massimiliano Luzi authored at least 12 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Automotive Li-ion Cell Usage Data Set.
Dataset, May, 2022

2020
Data Mining by Evolving Agents for Clusters Discovery and Metric Learning.
Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020

An Improved PSO for Flexible Parameters Identification of Lithium Cells Equivalent Circuit Models.
Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020

A White-Box Equivalent Neural Network Circuit Model for SoC Estimation of Electrochemical Cells.
IEEE Trans. Neural Networks Learn. Syst., 2020

A generalized framework for ANFIS synthesis procedures by clustering techniques.
Appl. Soft Comput., 2020

2019
A Novel Neural Networks Ensemble Approach for Modeling Electrochemical Cells.
IEEE Trans. Neural Networks Learn. Syst., 2019

2018
A Binary PSO Approach for Real Time Optimal Balancing of Electrochemical Cells.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

An ANFIS Based System Identification Procedure for Modeling Electrochemical Cells.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Energy Transduction Optimization of a Wave Energy Converter by Evolutionary Algorithms.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Instrument Learning and Sparse NMD for Automatic Polyphonic Music Transcription.
IEEE Trans. Multim., 2017

2016
Comparison between two nonlinear Kalman Filters for reliable SoC estimation on a prototypal BMS.
Proceedings of the IECON 2016, 2016

A PSO algorithm for transient dynamic modeling of lithium cells through a nonlinear RC filter.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016


  Loading...