Francesco Riganti Fulginei
Orcid: 0000-0001-8824-3776
According to our database1,
Francesco Riganti Fulginei
authored at least 36 papers
between 2011 and 2024.
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Bibliography
2024
Hysteresis Modelling in Additively Manufactured FeSi Magnetic Components for Electrical Machines and Drives.
IEEE Trans. Ind. Electron., March, 2024
Recent Results in Shielding Technologies for Wireless Electric Vehicle Charging Systems.
IEEE Access, 2024
Artificial Neural Networks for Photovoltaic Power Forecasting: A Review of Five Promising Models.
IEEE Access, 2024
Prediction of DC/DC Boost Converter Switching Power Losses Using a Backpropagation Algorithm Neural Network.
Proceedings of the 8th IEEE Forum on Research and Technologies for Society and Industry Innovation, 2024
2023
Deep neural networks for the efficient simulation of macro-scale hysteresis processes with generic excitation waveforms.
Eng. Appl. Artif. Intell., May, 2023
Magnetic Hysteresis Simulation by Using a Deep Neural Network for Non-sinusoidal Excitations.
Proceedings of the 15th International Conference on Computer and Automation Engineering, 2023
Experimental Measurements and Numerical Computations of a Ferromagnetic Core Made by Means of Additive Manufacturing.
Proceedings of the 20th IEEE International Conference on Smart Technologies, 2023
Proceedings of the 20th IEEE International Conference on Smart Technologies, 2023
Proceedings of the 20th IEEE International Conference on Smart Technologies, 2023
2022
Accuracy evaluation of an ECG device for heart failure patients self-monitoring: a preliminary study.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022
An Indirect Approach to Forecast Produced Power on Photovoltaic Plants Under Uneven Shading Conditions.
AII, 2022
2021
Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2021
2019
Numerical Dynamic Modeling and Analysis of DC-DC Converters for Photovoltaic Applications.
Proceedings of the 5th IEEE International forum on Research and Technology for Society and Industry, 2019
Proceedings of the 15th Conference on Ph.D. Research in Microelectronics and Electronics, 2019
Parallel Algorithm Based on Singular Value Decomposition for High Performance Training of Neural Networks.
Proceedings of the Computational Science - ICCS 2019, 2019
2018
Neural Networks for Maximum Power Point Tracking Application to Silicon and CIGS Photovoltaic Modules.
Proceedings of the 4th IEEE International Forum on Research and Technology for Society and Industry, 2018
2017
IEEE Trans. Ind. Informatics, 2017
IEEE Trans. Ind. Electron., 2017
Proceedings of the 2017 European Conference on Circuit Theory and Design, 2017
2016
Proceedings of the 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2016
Proceedings of the 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2016
2015
On Training Efficiency and Computational Costs of a Feed Forward Neural Network: A Review.
Comput. Intell. Neurosci., 2015
Improving the Jiles-Atherton model by introducing a full dynamic dependence of parameters.
Proceedings of the 1st IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2015
Proceedings of the International Conference on Computational Science, 2015
PV Panel Modeling: A Mobile Application for Modeling Photovoltaic Panels Using Datasheets Information.
Proceedings of the 3rd International Conference on Future Internet of Things and Cloud, 2015
2014
IEEE Trans. Instrum. Meas., 2014
Appl. Math. Comput., 2014
Proceedings of the UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, 2014
Proceedings of the NCTA 2014 - Proceedings of the International Conference on Neural Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22, 2014
2013
SVM versus MAP on Accelerometer Data to Distinguish among Locomotor Activities Executed at Different Speeds.
Comput. Math. Methods Medicine, 2013
Closed Forms for the Fully-Connected Continuous Flock of Starlings Optimization Algorithm.
Proceedings of the 15th International Conference on Computer Modelling and Simulation, 2013
Classification of ECG patterns for diagnostic purposes by means of Neural Networks and Support Vector Machines.
Proceedings of the 36th International Conference on Telecommunications and Signal Processing, 2013
2012
A maximum power point tracker variable-dc-link three-phase inverter for grid-connected PV panels.
Proceedings of the 3rd IEEE PES Innovative Smart Grid Technologies Europe, 2012
2011
The Flock of Starlings Optimization: Influence of Topological Rules on the Collective Behavior of Swarm Intelligence.
Proceedings of the Computational Methods for the Innovative Design of Electrical Devices, 2011