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Earth-Prints is an open archive created and maintained by Istituto Nazionale di Geofisica e Vulcanologia. This digital collection allows users to browse, search and access manuscripts, journal articles, theses, conference materials, books, book-chapters, web products.

The goal of our repository is to collect, capture, disseminate and preserve the results of research in the fields of Atmosphere, Cryosphere, Hydrosphere and Solid Earth. Earth-prints is young and growing rapidly. Check back often.

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Browsing by Subject Machine Learning

Showing results 1 to 5 of 5

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Issue Date	Title	Author(s)
Apr-2021	Applying Machine Learning to Weather and Pollution Data Analysis for a Better Management of Local Areas: The Case of Napoli, Italy	Campanile, Lelio* ; Cantiello, Pasquale* ; Iacono, Mauro* ; Lotito, Roberta* ; Marulli, Fiammetta* ; Mastroianni, Michele*
2022	Forecasting strong subsequent earthquakes in California clusters by machine learning	Gentili, Stefania* ; Di Giovambattista, Rita*
2022	Machine learning and best fit approach to map lava flows from space	Amato, Eleonora
26-Feb-2021	Predicting the Accuracy of Early-est Earthquake Magnitude Estimates with an LSTM Neural Network: A Preliminary Analysis	Nazaria, Massimo
17-Mar-2020	Recognizing Eruptions of Mount Etna through Machine Learning using Multiperspective Infrared Images	Corradino, Claudia* ; Ganci, Gaetana* ; Cappello, Annalisa* ; Bilotta, Giuseppe* ; Calvari, Sonia* ; Del Negro, Ciro*

Showing results 1 to 5 of 5

Welcome to the OA Earth-prints Repository!

Browsing by Subject Machine Learning

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