Fabio Massimo Frattale Mascioli

According to our database1, Fabio Massimo Frattale Mascioli authored at least 88 papers between 1993 and 2024.

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

Timeline

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Bibliography

2024
An Online Hierarchical Energy Management System for Energy Communities, Complying with the Current Technical Legislation Framework.
CoRR, 2024

Equivalent circuit model of a real agribot cable-way control system.
Proceedings of the 10th International Conference on Control, 2024

2022
Synthesis of an Evolutionary Fuzzy Multi-objective Energy Management System for an Electric Boat.
Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022

A Comparison between Crisp and Fuzzy Logic in an Autonomous Driving System for Boats.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2021
A Modular Autonomous Driving System for Electric Boats based on Fuzzy Controllers and Q-Learning.
Proceedings of the 13th International Joint Conference on Computational Intelligence, 2021

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

FIS Synthesis by Clustering for Microgrid Energy Management Systems.
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

Optimization strategies for Microgrid energy management systems by Genetic Algorithms.
Appl. Soft Comput., 2020

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

On the Optimization of Embedding Spaces via Information Granulation for Pattern Recognition.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Classification and Calibration Techniques in Predictive Maintenance: A Comparison between GMM and a Custom One-Class Classifier.
Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020

Nanogrids: A Smart Way to Integrate Public Transportation Electric Vehicles into Smart Grids.
Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020

Mining M-Grams by a Granular Computing Approach for Text Classification.
Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020

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

ANFIS Microgrid Energy Management System Synthesis by Hyperplane Clustering Supported by Neurofuzzy Min-Max Classifier.
IEEE Trans. Emerg. Top. Comput. Intell., 2019

2018
Evolutionary Optimization of an Affine Model for Vulnerability Characterization in Smart Grids.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Dissimilarity Space Representations and Automatic Feature Selection for Protein Function Prediction.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Supervised Approaches for Protein Function Prediction by Topological Data Analysis.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Distance Matrix Pre-Caching and Distributed Computation of Internal Validation Indices in k-medoids Clustering.
Proceedings of the 2018 International Joint Conference on Neural Networks, 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

Microgrid Energy Management by ANFIS Supported by an ESN Based Prediction Algorithm.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Supervised Classification System based on Evolutive Multi-Agent Clustering for Smart Grids Faults Prediction.
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
An integrated methodology model for smart mobility system applied to sustainable tourism.
Proceedings of the 3rd IEEE International Forum on Research and Technologies for Society and Industry, 2017

Design and validation of a contactless charging system for electric bicycles.
Proceedings of the 3rd IEEE International Forum on Research and Technologies for Society and Industry, 2017

Efficient Approaches for Solving the Large-Scale k-Medoids Problem: Towards Structured Data.
Proceedings of the Computational Intelligence - 9th International Joint Conference, 2017

Efficient Approaches for Solving the Large-Scale k-medoids Problem.
Proceedings of the 9th International Joint Conference on Computational Intelligence, 2017

ANFIS Synthesis by Clustering for Microgrids EMS Design.
Proceedings of the 9th International Joint Conference on Computational Intelligence, 2017

An optimized microgrid energy management system based on FIS-MO-GA paradigm.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
A novel mechanical analogy based battery model for SoC estimation using a multi-cell EKF.
CoRR, 2016

A new method to restore the water quality level through the use of electric boats.
Proceedings of the IEEE International Smart Cities Conference, 2016

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

Optimization of a microgrid energy management system based on a Fuzzy Logic Controller.
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

Multi objective optimization of a fuzzy logic controller for energy management in microgrids.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Comparison between time-constrained and time-unconstrained optimization for power losses minimization in Smart Grids using genetic algorithms.
Neurocomputing, 2015

A learning intelligent system for fault detection in Smart Grid by a One-Class Classification approach.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Building pattern recognition applications with the SPARE library.
CoRR, 2014

A Radial configurations search algorithm for joint PFC and DFR optimization in Smart Grids.
Proceedings of the 23rd IEEE International Symposium on Industrial Electronics, 2014

A foward-facing hybrid vehicle simulation tool based on multi-physics lumped circuit approach.
Proceedings of the 23rd IEEE International Symposium on Industrial Electronics, 2014

Innovation management of a high-technology academic Start up: The case of DInESto.
Proceedings of the 23rd IEEE International Symposium on Industrial Electronics, 2014

Bonifica 2.0: An Integrated Territorial System of Sustainable Mobility and Micro Smart Grids.
Proceedings of the 23rd IEEE International Symposium on Industrial Electronics, 2014

Fault recognition in smart grids by a one-class classification approach.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A Dissimilarity Learning Approach by Evolutionary Computation for Faults Recognition in Smart Grids.
Proceedings of the Computational Intelligence - International Joint Conference, 2014

Evolutionary Optimization of a One-Class Classification System for Faults Recognition in Smart Grids.
Proceedings of the ECTA 2014, 2014

An Ordering Procedure for Admissible Network Configurations to Regularize DFR Optimization Problems in Smart Grids.
Proceedings of the ECTA 2014, 2014

2013
Design and implementation of a fast recharge station for electric vehicles.
Proceedings of the 22nd IEEE International Symposium on Industrial Electronics, 2013

Development of an innovative LPG system for ICE and Extended Range Electric Vehicles.
Proceedings of the 22nd IEEE International Symposium on Industrial Electronics, 2013

Innovative energy supply and storage systems for telecom radio base stations.
Proceedings of the 22nd IEEE International Symposium on Industrial Electronics, 2013

Automotive application of lithium-ion batteries: A new generation of electrode materials.
Proceedings of the 22nd IEEE International Symposium on Industrial Electronics, 2013

A dissimilarity-based classifier for generalized sequences by a granular computing approach.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Optimal distribution feeders configuration for active power losses minimization by genetic algorithms.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Genetic optimization of a fuzzy control system for energy flow management in micro-grids.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Two evolutionary computational approaches for active power losses minimization in Smart Grids.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

2012
Active Power Losses Constrained Optimization in Smart Grids by Genetic Algorithms.
Proceedings of the Neural Nets and Surroundings - 22nd Italian Workshop on Neural Nets, 2012

An open software system for signal routing and processing in hybrid vehicles.
Proceedings of the 21st IEEE International Symposium on Industrial Electronics, 2012

A real time classifier for emotion and stress recognition in a vehicle driver.
Proceedings of the 21st IEEE International Symposium on Industrial Electronics, 2012

Design and construction of a parallel hybrid prototype.
Proceedings of the 21st IEEE International Symposium on Industrial Electronics, 2012

A simulation tool for the management of energy flows in Hybrid-Electric Vehicles.
Proceedings of the 21st IEEE International Symposium on Industrial Electronics, 2012

Simulation and design of a photovoltaic roof for automotive applications.
Proceedings of the 21st IEEE International Symposium on Industrial Electronics, 2012

A new Granular Computing approach for sequences representation and classification.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2010
A tuning procedure for the electric networks of PEM systems.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

2008
Sugeno Model Based Control for Semi active Vehicle Suspension.
Proceedings of the New Directions in Neural Networks, 2008

2007
Optimization of Hybrid Electric Cars by Neuro-Fuzzy Networks.
Proceedings of the Applications of Fuzzy Sets Theory, 2007

2006
Symbolic analysis and optimization of piezo-electromechanical systems.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

2005
A modular RC-active network for vibration damping in piezo-electro-mechanical beams.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

2004
From Circuits To Neurofuzzy Networks: Synthesis By Numerical And Linguistic Information.
J. Circuits Syst. Comput., 2004

Circuit analog of a beam and its application to multimodal vibration damping, using piezoelectric transducers.
Int. J. Circuit Theory Appl., 2004

2003
ANFIS Synthesis by Hypherplane Clustering for Time Series Prediction.
Proceedings of the Neural Nets, 14th Italian Workshop on Neural Nets, 2003

A Neuro-fuzzy System for the Prediction of the Vehicle Traffic Flow.
Proceedings of the Fuzzy Logic and Applications, 5th International Workshop, 2003

2002
Adaptive resolution min-max classifiers.
IEEE Trans. Neural Networks, 2002

Extended Random Neural Networks.
Proceedings of the Neural Nets, 13th Italian Workshop on Neural Nets, 2002

Automatic feature selection for adaptive resolution classifiers.
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

2001
Neurofuzzy Approximator based on Mamdani's Model.
Proceedings of the 12th Italian Workshop on Neural Nets, 2001

2000
Scale-based approach to hierarchical fuzzy clustering.
Signal Process., 2000

Human components in productive systems.
Proceedings of the University as a Bridge from Technology to Society: IEEE International Symposium on Technology and Society, 2000

A Recursive Algorithm for Fuzzy Min-Max Networks.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Generalized min-max classifier.
Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 2000

Scale-based clustering with latent variables.
Proceedings of the 10th European Signal Processing Conference, 2000

1998
A constructive approach to neuro-fuzzy networks.
Signal Process., 1998

Function Approximation with Noisy Training Data using FBF Neural Networks.
Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998

A nonexclusive classification system based on co-operative fuzzy clustering.
Proceedings of the 9th European Signal Processing Conference, 1998

1997
A constructive algorithm for fuzzy neural networks.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996
Rational approximant architecture for neural networks.
Proceedings of the 8th European Signal Processing Conference, 1996

1995
A constructive algorithm for binary neural networks: the oil-spot algorithm.
IEEE Trans. Neural Networks, 1995

1993
Cascade neural network for binary mapping.
IEEE Trans. Neural Networks, 1993


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