Francesco Riganti Fulginei

Orcid: 0000-0001-8824-3776

According to our database1, Francesco Riganti Fulginei authored at least 35 papers between 2011 and 2024.

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

Timeline

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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

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

Neural Estimator for Inductor Losses in Buck DC-DC Converters Operating in CCM.
Proceedings of the 20th IEEE International Conference on Smart Technologies, 2023

Direct and Inverse Neural Modelling of Buildings HVAC Systems.
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
Irradiance Sensing through PV Devices: A Sensitivity Analysis.
Sensors, 2021

A real-time MCU-based wireless system for remote monitoring of PV devices.
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

A novel method for dynamic battery model identification based on CFSO.
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
Two FPGA-Oriented High-Speed Irradiance Virtual Sensors for Photovoltaic Plants.
IEEE Trans. Ind. Informatics, 2017

Computer Modeling of Nickel-Iron Alloy in Power Electronics Applications.
IEEE Trans. Ind. Electron., 2017

An analytical approach for maximum power point calculation for photovoltaic system.
Proceedings of the 2017 European Conference on Circuit Theory and Design, 2017

2016
FEM model identification for a vector hysteresis workbench.
Proceedings of the 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2016

Modeling dynamic hysteresis through Fully Connected Cascade neural networks.
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

A Neural Network Embedded System for Real-time Estimation of Muscle Forces.
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
A Neural Network-Based Low-Cost Solar Irradiance Sensor.
IEEE Trans. Instrum. Meas., 2014

Swarm/flock optimization algorithms as continuous dynamic systems.
Appl. Math. Comput., 2014

Neural Networks for Muscle Forces Prediction in Cycling.
Algorithms, 2014

An Efficient Architecture for Floating Point Based MISO Neural Neworks on FPGA.
Proceedings of the UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, 2014

Model Identification for Photovoltaic Panels Using Neural Networks.
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


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