AIZENBERG, IGOR
AIZENBERG, IGOR
Ingegneria dell'Informazione
A neural network classifier with multi-valued neurons for analog circuit fault diagnosis
2021 Aizenberg I.; Belardi R.; Bindi M.; Grasso F.; Manetti S.; Luchetta A.; Piccirilli M.C.
Classification of Power Quality disturbances using Multi-Valued Neural Networks and Convolutional Neural Networks
2022 Bindi, Marco; Garcia, Carlos Iturrino; Luchetta, Antonio; Grasso, Franceso; Piccirilli, Maria Cristina; Paolucci, Libero; Aizenberg, Igor
Classification of Power Quality disturbances using Multi-Valued Neural Networks and Convolutional Neural Networks
2022 Bindi, Marco; Garcia, Carlos Iturrino; Luchetta, Antonio; Grasso, Franceso; Piccirilli, Maria Cristina; Paolucci, Libero; Aizenberg, Igor
Machine Learning-Based Monitoring of DC-DC Converters in Photovoltaic Applications
2022 Bindi, Marco; Corti, Fabio; Aizenberg, Igor; Grasso, Francesco; Lozito, Gabriele Maria; Luchetta, Antonio; Piccirilli, Maria Cristina; Reatti, Alberto
Neural Network-Based Fault Diagnosis of Joints in High Voltage Electrical Lines
2020 Bindi, Marco; Aizenberg, Igor; Belardi, Riccardo; Grasso, Francesco; Luchetta, Antonio; Manetti, Stefano; Piccirilli, Maria Cristina
Power Quality Analysis Based on Machine Learning Methods for Low-Voltage Electrical Distribution Lines
2023 Iturrino Garcia, Carlos Alberto; Bindi, Marco; Corti, Fabio; Luchetta, Antonio; Grasso, Francesco; Paolucci, Libero; Piccirilli, Maria Cristina; Aizenberg, Igor
Testability Analysis in Neural Network Based Fault Diagnosis of DC-DC Converter
2019 Aizenberg I.; Bindi M.; Grasso F.; Luchetta A.; Manetti S.; Piccirilli M.C.
Theoretical Approach for Fault Prognosis in Electrical Power Transformers using High Frequency Signals and Artificial Intelligence Techniques
2024 Bindi, Marco; Aizenberg, Igor; Luchetta, Antonio; Intravaia, Matteo; Piccirilli, Maria Cristina; Carobbi, Carlo
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A neural network classifier with multi-valued neurons for analog circuit fault diagnosis | 2021 | Aizenberg I.; Belardi R.; Bindi M.; Grasso F.; Manetti S.; Luchetta A.; Piccirilli M.C. | |
| Classification of Power Quality disturbances using Multi-Valued Neural Networks and Convolutional Neural Networks | 2022 | Bindi, Marco; Garcia, Carlos Iturrino; Luchetta, Antonio; Grasso, Franceso; Piccirilli, Maria Cristina; Paolucci, Libero; Aizenberg, Igor | |
| Classification of Power Quality disturbances using Multi-Valued Neural Networks and Convolutional Neural Networks | 2022 | Bindi, Marco; Garcia, Carlos Iturrino; Luchetta, Antonio; Grasso, Franceso; Piccirilli, Maria Cristina; Paolucci, Libero; Aizenberg, Igor | |
| Machine Learning-Based Monitoring of DC-DC Converters in Photovoltaic Applications | 2022 | Bindi, Marco; Corti, Fabio; Aizenberg, Igor; Grasso, Francesco; Lozito, Gabriele Maria; Luchetta, Antonio; Piccirilli, Maria Cristina; Reatti, Alberto | |
| Neural Network-Based Fault Diagnosis of Joints in High Voltage Electrical Lines | 2020 | Bindi, Marco; Aizenberg, Igor; Belardi, Riccardo; Grasso, Francesco; Luchetta, Antonio; Manetti, Stefano; Piccirilli, Maria Cristina | |
| Power Quality Analysis Based on Machine Learning Methods for Low-Voltage Electrical Distribution Lines | 2023 | Iturrino Garcia, Carlos Alberto; Bindi, Marco; Corti, Fabio; Luchetta, Antonio; Grasso, Francesco; Paolucci, Libero; Piccirilli, Maria Cristina; Aizenberg, Igor | |
| Testability Analysis in Neural Network Based Fault Diagnosis of DC-DC Converter | 2019 | Aizenberg I.; Bindi M.; Grasso F.; Luchetta A.; Manetti S.; Piccirilli M.C. | |
| Theoretical Approach for Fault Prognosis in Electrical Power Transformers using High Frequency Signals and Artificial Intelligence Techniques | 2024 | Bindi, Marco; Aizenberg, Igor; Luchetta, Antonio; Intravaia, Matteo; Piccirilli, Maria Cristina; Carobbi, Carlo |