CARBONARI, ROLANDO
CARBONARI, ROLANDO
DIPARTIMENTO DI SCIENZE DELLA TERRA, DELL'AMBIENTE E RISORSE
Denoising of magnetotelluric signals by polarization analysis in the discrete wavelet domain
2017 Carbonari, Rolando; D'Auria, L.; DI MAIO, Rosa; Petrillo, Z.
Denoising of magnetotelluric data by polarization analysis in the discrete wavelet transform domain
2016 Carbonari, Rolando; DI MAIO, Rosa; D’Auria, L; Petrillo, Z.
Magnetotellurics as a multiscale geophysical exploration method
2016 Carbonari, Rolando; D’Auria, L.; DI MAIO, Rosa; Petrillo, Z.
SOM clustering analysis in the discrete wavelet transform domain for filtering noisy magnetotelluric data
2017 Carbonari, R.; Di Maio, R.; D’Auria, L.; Petrillo, Z.
Filtering of noisy magnetotelluric signals by SOM neural networks
2018 Carbonari, R.; Di Maio, R.; Piegari, E.; D'Auria, L.; Esposito, A.; Petrillo, Z.
Simulations of the emptying of a closed chamber by magma ascent dynamics based on self-organized fracture mechanisms
2019 Piegari, Ester; DI MAIO, Rosa; Carbonari, Rolando; Scandone, Roberto
A novel approach for monitoring hydrothermal systems by continuous magnetotelluric observations
2018 Carbonari, R.; DI MAIO, R.; Petrillo, Z.
Monitoring volcano-hydrothermal systems by continuous magnetotelluric data: a synthetic study on the Campi Flegrei area (Southern Italy)
2018 Carbonari, R.; DI MAIO, R.; Piegari, E.
Simulating the emptying of a closed magma chamber by a self-organized fracture mechanism: a conceptual framework for linking different eruptive regimes
2018 Piegari, E.; DI MAIO, R.; Carbonari, R.; Scandone, R.
Quantitative interpretation ofmultiple self-potential anomaly sources by a global optimization approach
2019 DI MAIO, Rosa; Piegari, Ester; Rani, Payal; Carbonari, Rolando; Vitagliano, Eleonora; Milano, Leopoldo
Feasibility to use continuous magnetotelluric observations for monitoring hydrothermal activity. Numerical modeling applied to Campi Flegrei volcanic system (southern Italy)
2019 Carbonari, R.; DI MAIO, Rosa; Piegari, E.
An innovative global optimization algorithm for identifying the source parameters of potential fields. Application to multiple self-potential anomalies
2018 Piegari, E.; DI MAIO, R.; Carbonari, R.; Vitagliano, E.; Milano, L.
Improving magnetotelluric impedance tensor estimates by self-organizing maps
2018 Carbonari, R.; DI MAIO, R.; Piegari, E.; D'Auria, L.; Esposito, A.; Petrillo, Z.
Wavelet-like denoising of GNSS data through machine learning. Application to the time series of the Campi Flegrei volcanic area (Southern Italy)
2023 Carbonari, Rolando; Riccardi, Umberto; De Martino, Prospero; Cecere, Gianpaolo; DI MAIO, Rosa
Wavelet denoising of GNSS time series through Machine Learning. Application to the Campi Flegrei caldera
2022 Carbonari, R.; Riccardi, U.; De Martino, P.; Cecere, G.; Di Maio, R.
High-resolution geoelectrical characterization and monitoring of natural fluids emission systems to understand possible gas leakages from geological carbon storage reservoirs
2023 Salone, R.; De Paola, C.; Carbonari, R.; Rufino, F.; Avino, R.; Caliro, S.; Cuoco, E.; Santi, A.; Di Maio, R.