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Machine Learning for Earth Sciences

E-bookPDFE-book
EUR85,59

Details

Additional ISBN/GTIN9783031351143
Product TypeE-book
BindingE-book
FormatPDF
FormatE107
Publishing date22/09/2023
Edition1st ed. 2023
SeriesSpringer Textbooks in Earth Sciences, Geography and Environment
LanguageEnglish
IllustrationsXVI, 209 p. 102 illus., 99 illus. in color.
Article no.13124211
CatalogsVC
Data source no.4880330
Product groupBU660
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Author

Maurizio Petrelli is an associate professor in petrology and volcanology at the Department of Physics and Geology, University of Perugia. In 2001, he graduated in Geology and obtained his Ph.D. in February 2006 at the University of Perugia. His current studies are focused on the petrological, volcanological, and geochemical characterization of magmatic systems with particular emphasis on time-scales estimates of magmatic processes. He combines the use of numerical simulations, experimental petrology, and the study of natural samples. Since 2016, he has developed a new line of research at the Department of Physics and Geology (University of Perugia) focused on the application of Machine Learning techniques to petrological and volcanological studies.

Subjects

VLB main reading rationale