111 citations · 283 across the 44 of their papers we have counts for
3 papers · 1 filter
Classification of volcanic ash particles using a convolutional neural network and probability
Daigo Shoji, Rina Noguchi, Shizuka Otsuki +1
Analyses of volcanic ash are typically performed either by qualitatively classifying ash particles by eye or by quantitatively parameterizing its shape and texture. While complex s…
New classification method of volcanic ash samples using statistically determined grain types
Rina Noguchi, Hideitsu Hino, Nobuo Geshi +2
We developed a method to classify volcanic ash samples by introducing statistically determined grain types. Using more than 10,000 numbers of automatically measured grain data (par…
Geochemical discrimination and characteristics of magmatic tectonic settings; a machine learning-based approach
Kenta Ueki, Hideitsu Hino, Tatsu Kuwatani
Geochemically discriminating between magmatism in different tectonic settings remains a fundamental part of understanding the processes of magma generation within the Earth's mantl…