XIBILIA, MARIA GABRIELLA
XIBILIA, MARIA GABRIELLA
Application of electrochemical impedance spectroscopy for prediction of fuel cell degradation by LSTM neural networks
2021-01-01 Caponetto, R.; Guarnera, N.; Matera, F.; Privitera, E.; Xibilia, M. G.
Assessment of K-Means Algorithm to Evaluate Nearshore Wave Climate
2024-01-01 Castro, Elisa; Iuppa, Claudio; Musumeci, ROSARIA ESTER; Xibilia, MARIA GABRIELLA; Patané, Luca; Foti, Enrico; Cavallaro, Luca
Calibration of a Clustering Algorithm to Improve the Nearshore Wave Prediction System
file da validare2023-01-01 Castro, E.; Musumeci, R. E.; Xibilia, M. G.; Foti, E.; Iuppa, C.; Cavallaro, L.; Patane, L.
Carbon black based fractional order element: Wien oscillator implementation
2019-01-01 Buscarino, A.; Caponetto, R.; Murgano, Emanuele; Xibilia, M. G.
Deep Learning for Soft Sensor Design
file da validare2020-01-01 Graziani, S.; Xibilia, M. G.
Evaluation of a clustering algorithm to enhance the nearshore wave prediction system
file da validare2023-01-01 Castro, E.; Iuppa, C.; Musumeci, R. E.; Cavallaro, L.; Xibilia, M. G.; Patane, L.; Foti, E.
Fuel cell fractional-order model via electrochemical impedance spectroscopy
2021-01-01 Caponetto, R.; Matera, F.; Murgano, E.; Privitera, E.; Xibilia, M. G.
Implementation of a fully analog feedback loop with a Carbon-Black-based fractional order controller
2022-01-01 Avon, G.; Caponetto, R.; Murgano, E.; Xibilia, M. G.
Improving Monitorino of NOx Emissions in Refineries
file da validare2004-01-01 Graziani, S.; Pitrone, N.; Xibilia, M. G.; Barbalace, N.
Improving soft sensors performance in the presence of small datasets by data selection
file da validare2020-01-01 Graziani, S.; Xibilia, M. G.
Innovative topologies and algorithms for neural networks
2020-01-01 Graziani, S.; Xibilia, M. G.
Input selection methods for data-driven Soft sensors design: Application to an industrial process
2020-01-01 Curreri, F.; Graziani, S.; Xibilia, M. G.
Model order reduction: A comparison between integer and non-integer order systems approaches
2019-01-01 Caponetto, R.; Machado, J. T.; Murgano, E.; Xibilia, M. G.
Multiple Correlation Analysis for Finite-Time Delay Estimation for Soft Sensor Design in the Presence of Noise
file da validare2023-01-01 Graziani, S.; Xibilia, M. G.
Preliminary analysis of the chaotic behavior in hydrogen electrochemical devices
2021-01-01 Buscarino, A.; Caponetto, R.; de Marco, E.; Matera, F.; Privitera, E.; Xibilia, M. G.
SC-CNN for Chaotic Signal Applications in Secure Communication Systems
2003-01-01 Caponetto, R; Occhipinti, L.; Xibilia, M. G.; Fortuna, L
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
Application of electrochemical impedance spectroscopy for prediction of fuel cell degradation by LSTM neural networks | 1-gen-2021 | Caponetto, R.; Guarnera, N.; Matera, F.; Privitera, E.; Xibilia, M. G. | |
Assessment of K-Means Algorithm to Evaluate Nearshore Wave Climate | 1-gen-2024 | Castro, Elisa; Iuppa, Claudio; Musumeci, ROSARIA ESTER; Xibilia, MARIA GABRIELLA; Patané, Luca; Foti, Enrico; Cavallaro, Luca | |
Calibration of a Clustering Algorithm to Improve the Nearshore Wave Prediction System | 1-gen-2023 | Castro, E.; Musumeci, R. E.; Xibilia, M. G.; Foti, E.; Iuppa, C.; Cavallaro, L.; Patane, L. | file da validare |
Carbon black based fractional order element: Wien oscillator implementation | 1-gen-2019 | Buscarino, A.; Caponetto, R.; Murgano, Emanuele; Xibilia, M. G. | |
Deep Learning for Soft Sensor Design | 1-gen-2020 | Graziani, S.; Xibilia, M. G. | file da validare |
Evaluation of a clustering algorithm to enhance the nearshore wave prediction system | 1-gen-2023 | Castro, E.; Iuppa, C.; Musumeci, R. E.; Cavallaro, L.; Xibilia, M. G.; Patane, L.; Foti, E. | file da validare |
Fuel cell fractional-order model via electrochemical impedance spectroscopy | 1-gen-2021 | Caponetto, R.; Matera, F.; Murgano, E.; Privitera, E.; Xibilia, M. G. | |
Implementation of a fully analog feedback loop with a Carbon-Black-based fractional order controller | 1-gen-2022 | Avon, G.; Caponetto, R.; Murgano, E.; Xibilia, M. G. | |
Improving Monitorino of NOx Emissions in Refineries | 1-gen-2004 | Graziani, S.; Pitrone, N.; Xibilia, M. G.; Barbalace, N. | file da validare |
Improving soft sensors performance in the presence of small datasets by data selection | 1-gen-2020 | Graziani, S.; Xibilia, M. G. | file da validare |
Innovative topologies and algorithms for neural networks | 1-gen-2020 | Graziani, S.; Xibilia, M. G. | |
Input selection methods for data-driven Soft sensors design: Application to an industrial process | 1-gen-2020 | Curreri, F.; Graziani, S.; Xibilia, M. G. | |
Model order reduction: A comparison between integer and non-integer order systems approaches | 1-gen-2019 | Caponetto, R.; Machado, J. T.; Murgano, E.; Xibilia, M. G. | |
Multiple Correlation Analysis for Finite-Time Delay Estimation for Soft Sensor Design in the Presence of Noise | 1-gen-2023 | Graziani, S.; Xibilia, M. G. | file da validare |
Preliminary analysis of the chaotic behavior in hydrogen electrochemical devices | 1-gen-2021 | Buscarino, A.; Caponetto, R.; de Marco, E.; Matera, F.; Privitera, E.; Xibilia, M. G. | |
SC-CNN for Chaotic Signal Applications in Secure Communication Systems | 1-gen-2003 | Caponetto, R; Occhipinti, L.; Xibilia, M. G.; Fortuna, L |