Characterization, correlation and provenance determination of tephra samples in sedimentary sections (tephrochronological studies) are powerful tools for establishing ages of depositional events, volcanic eruptions, and tephra dispersion. Despite the large literature and the advancements in this research field, the univocal attribution of tephra deposits to specific volcanic sources remains too often elusive. In this contribution, we test the application of a machine learning technique named Support Vector Machine to attempt shedding new light upon tephra deposits related to one of the most complex and debated volcanic regions on Earth: the Pliocene-Pleistocene magmatism in Italy. The machine learning algorithm was trained using one of the ...
Volcanic activity at Phlegraean Fields, Italy, produced several major marker tephras over a 50 ka pe...
Volcanic activity at Phlegraean Fields, Italy, produced several major marker tephras over a 50 ka pe...
A review of the existing chronological, stratigraphic and chemo-petrologic data of the major eruptiv...
Identifying the provenance of volcanic rocks can be essential for improving geological maps in the f...
Classification algorithms were constructed based on pyrite trace elements using two machine learning...
Distal tephrochronology relies on the synchronous dispersal and deposition of volcanic ash or tephra...
Recent studies have demonstrated that soils formed on pyroclastic ash deposits are much more common ...
This study deals with explosive activity of southern italian volcanoes recorded in the roman region ...
A current mineral exploration focus is the development of tools to identify magmatic districts predi...
Glass composition-based correlations of volcanic ash (tephra) traditionally rely on extensive manual...
Volcanic activity at Phlegraean Fields, Italy, produced several major marker tephras over a 50 ka pe...
Volcanic activity at Phlegraean Fields, Italy, produced several major marker tephras over a 50 ka pe...
A review of the existing chronological, stratigraphic and chemo-petrologic data of the major eruptiv...
Identifying the provenance of volcanic rocks can be essential for improving geological maps in the f...
Classification algorithms were constructed based on pyrite trace elements using two machine learning...
Distal tephrochronology relies on the synchronous dispersal and deposition of volcanic ash or tephra...
Recent studies have demonstrated that soils formed on pyroclastic ash deposits are much more common ...
This study deals with explosive activity of southern italian volcanoes recorded in the roman region ...
A current mineral exploration focus is the development of tools to identify magmatic districts predi...
Glass composition-based correlations of volcanic ash (tephra) traditionally rely on extensive manual...
Volcanic activity at Phlegraean Fields, Italy, produced several major marker tephras over a 50 ka pe...
Volcanic activity at Phlegraean Fields, Italy, produced several major marker tephras over a 50 ka pe...
A review of the existing chronological, stratigraphic and chemo-petrologic data of the major eruptiv...