Yayıncı "SPRINGER HEIDELBERG" Jeoloji Mühendisliği Bölümü Koleksiyonu için listeleme
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Application of machine-learning algorithms for tephrochronology: a case study of Plio-Quaternary volcanic fields in the South Aegean Active Volcanic Arc
(SPRINGER HEIDELBERG, 2022)We performed several machine-learning algorithms on a geochemical dataset including whole-rock (n = 1656) and glass (n = 1092) compositions of lavas and pyroclastics belonging to 8 volcanic fields along the South Aegean ... -
GEOstats: an excel-based data analysis program applying basic principles of statistics for geological studies
(SPRINGER HEIDELBERG, 2021)Statistical evaluation of the data collected from field and laboratory is an important task in the earth sciences. The aim of a geological study is to reveal a scientific result from the earth, but the conclusions must be ...