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Francesco Riganti Fulginei
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2020 – today
- 2024
- [j12]Michele Quercio
, Gabriele Maria Lozito, Fabio Corti
Recent Results in Shielding Technologies for Wireless Electric Vehicle Charging Systems. IEEE Access 12: 16728-16740 (2024) - [j11]Rafiq Asghar
Artificial Neural Networks for Photovoltaic Power Forecasting: A Review of Five Promising Models. IEEE Access 12: 90461-90485 (2024) - [j10]Antonio Faba
Hysteresis Modelling in Additively Manufactured FeSi Magnetic Components for Electrical Machines and Drives. IEEE Trans. Ind. Electron. 71(3): 2188-2197 (2024) - 2023
- [j9]Simone Quondam Antonio
Deep neural networks for the efficient simulation of macro-scale hysteresis processes with generic excitation waveforms. Eng. Appl. Artif. Intell. 121: 105940 (2023) - [c22]Elisa Belloni, Francesco Riganti Fulginei, Gabriele Maria Lozito, Davide Poli:
Direct and Inverse Neural Modelling of Buildings HVAC Systems. EUROCON 2023: 269-274 - [c21]Gabriele Maria Lozito, Vittorio Bertolini, Francesco Riganti Fulginei, Elisa Belloni, Michele Quercio
Neural Estimator for Inductor Losses in Buck DC-DC Converters Operating in CCM. EUROCON 2023: 412-417 - [c20]Marco Stella
Experimental Measurements and Numerical Computations of a Ferromagnetic Core Made by Means of Additive Manufacturing. EUROCON 2023: 423-428 - [c19]Ermanno Cardelli, Antonino Laudani
Magnetic Hysteresis Simulation by Using a Deep Neural Network for Non-sinusoidal Excitations. ICCAE 2023: 292-295 - 2022
- [c18]Valentina Lucaferri, Martina Radicioni, Francesco De Lia, Antonino Laudani
An Indirect Approach to Forecast Produced Power on Photovoltaic Plants Under Uneven Shading Conditions. AII 2022: 29-43 - [c17]Livio D'Alvia
Accuracy evaluation of an ECG device for heart failure patients self-monitoring: a preliminary study. MeMeA 2022: 1-6 - 2021
- [j8]Antonino Laudani
Irradiance Sensing through PV Devices: A Sensitivity Analysis. Sensors 21(13): 4264 (2021) - [c16]Antonino Laudani
A real-time MCU-based wireless system for remote monitoring of PV devices. MetroInd4.0&IoT 2021: 659-664
2010 – 2019
- 2019
- [c15]Gabriele Maria Lozito, Valentina Lucaferri
Parallel Algorithm Based on Singular Value Decomposition for High Performance Training of Neural Networks. ICCS (5) 2019: 581-587 - [c14]Valentina Lucaferri
A novel method for dynamic battery model identification based on CFSO. PRIME 2019: 57-60 - [c13]Antonino Laudani
Numerical Dynamic Modeling and Analysis of DC-DC Converters for Photovoltaic Applications. RTSI 2019: 389-393 - 2018
- [c12]Manuele Bertoluzzo
Neural Networks for Maximum Power Point Tracking Application to Silicon and CIGS Photovoltaic Modules. RTSI 2018: 1-6 - 2017
- [j7]Ermanno Cardelli, Antonio Faba, Antonino Laudani, Simone Quondam Antonio, Francesco Riganti Fulginei, Alessandro Salvini:
Computer Modeling of Nickel-Iron Alloy in Power Electronics Applications. IEEE Trans. Ind. Electron. 64(3): 2494-2501 (2017) - [j6]Alberto Oliveri
Two FPGA-Oriented High-Speed Irradiance Virtual Sensors for Photovoltaic Plants. IEEE Trans. Ind. Informatics 13(1): 157-165 (2017) - [c11]Antonino Laudani
An analytical approach for maximum power point calculation for photovoltaic system. ECCTD 2017: 1-4 - 2016
- [c10]Antonino Laudani
Modeling dynamic hysteresis through Fully Connected Cascade neural networks. RTSI 2016: 1-5 - [c9]Antonino Laudani
FEM model identification for a vector hysteresis workbench. RTSI 2016: 1-5 - 2015
- [j5]Antonino Laudani
On Training Efficiency and Computational Costs of a Feed Forward Neural Network: A Review. Comput. Intell. Neurosci. 2015: 818243:1-818243:13 (2015) - [c8]Antonio Tedeschi, Francesco Riganti Fulginei, Antonino Laudani
PV Panel Modeling: A Mobile Application for Modeling Photovoltaic Panels Using Datasheets Information. FiCloud 2015: 608-613 - [c7]Gabriele Maria Lozito
A Neural Network Embedded System for Real-time Estimation of Muscle Forces. ICCS 2015: 60-69 - [c6]Francesco Riganti Fulginei, Gabriele Maria Lozito, Stefano Gaiotto, Alessandro Salvini
Improving the Jiles-Atherton model by introducing a full dynamic dependence of parameters. RTSI 2015: 161-165 - 2014
- [j4]Giulio Cecchini, Gabriele Maria Lozito
Neural Networks for Muscle Forces Prediction in Cycling. Algorithms 7(4): 621-634 (2014) - [j3]Antonino Laudani
Swarm/flock optimization algorithms as continuous dynamic systems. Appl. Math. Comput. 243: 670-683 (2014) - [j2]Fernando Mancilla-David, Francesco Riganti Fulginei
A Neural Network-Based Low-Cost Solar Irradiance Sensor. IEEE Trans. Instrum. Meas. 63(3): 583-591 (2014) - [c5]Antonino Laudani, Gabriele Maria Lozito, Martina Radicioni
Model Identification for Photovoltaic Panels Using Neural Networks. IJCCI (NCTA) 2014: 130-137 - [c4]Antonino Laudani
An Efficient Architecture for Floating Point Based MISO Neural Neworks on FPGA. UKSim 2014: 12-17 - 2013
- [j1]Maurizio Schmid
SVM versus MAP on Accelerometer Data to Distinguish among Locomotor Activities Executed at Different Speeds. Comput. Math. Methods Medicine 2013: 343084:1-343084:7 (2013) - [c3]Silvia Conforto, Antonino Laudani
Classification of ECG patterns for diagnostic purposes by means of Neural Networks and Support Vector Machines. TSP 2013: 591-595 - [c2]Antonino Laudani
Closed Forms for the Fully-Connected Continuous Flock of Starlings Optimization Algorithm. UKSim 2013: 45-50 - 2012
- [c1]Fernando Mancilla-David, Arnaldo Arancibia
A maximum power point tracker variable-dc-link three-phase inverter for grid-connected PV panels. ISGT Europe 2012: 1-7 - 2011
- [p1]Francesco Riganti Fulginei
The Flock of Starlings Optimization: Influence of Topological Rules on the Collective Behavior of Swarm Intelligence. Computational Methods for the Innovative Design of Electrical Devices 2011: 129-145
Coauthor Index
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