M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations

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9:00 AM - 10:30 AM

[MGI29-P01] Comprehensive Analysis of Multidimensional Geochemical Data of Tsunami Deposits in Eastern and Central Japan Using Machine Learning

*Tomohisa Shimada¹, Matsuno Satoshi¹, Diana Mindaleva¹, Noriyoshi Tsuchiya¹ (1.Graduate School of Environmental Studies Tohoku University)

9:00 AM - 10:30 AM

[MGI29-P02] Application of compositional data analysis to trace elements in clinopyroxene from abyssal peridotites

*Ikuya Nishio^1,2, Keita Itano³, Pedro Waterton², Akihiro Tamura¹, Kristoffer Szilas², Tomoaki Morishita¹ (1.Kanazawa University, 2.University of Copenhagen, 3.Akita University)

9:00 AM - 10:30 AM

[MGI29-P03] Automatic facies classification using convolutional neural network for 3D outcrop data

*Sato Ryusei¹ (1.Kyoto University)

9:00 AM - 10:30 AM

[MGI29-P04] A New Descriptor of Flow-Channel Structures Based on Topological Data Analysis

*Togo Hasumi¹, Keiichiro Goto¹, Marco Fuchs², Philipp Blum², Anna Suzuki¹ (1.TOHOKU UNIVERSITY, 2.Karlsruhe Institute of Technology)

9:00 AM - 10:30 AM

[MGI29-P05] Statistical characteristics of geochemical data and propriate lithological classification of Japan arc

*Satoru Haraguchi¹, Hikaru Iwamori¹, Kenta Ueki² (1.Earthquake Research Institute, The University of Tokyo, 2.JAMSTEC)

9:00 AM - 10:30 AM

[MGI29-P06] Conversion of grid search result to probability distribution – application for source estimation problems of geomagnetic anomaly

*Hiroshi Ichihara^1,2, Tatsu Kuwatani¹ (1.Research Institute for Marine Geodynamics, Japan Agency for Marine-Earth Science and Technology, 2.Graduate school of environmental studies, Nagoya University)

9:00 AM - 10:30 AM

[MGI29-P07] Low-cost and interpretable method for estimating a regularization parameter using resolution-matrix probing

*Tatsu Kuwatani¹ (1.Japan Agency for Marine-Earth Science and Technology)

Session information

[M-GI29] Data-driven geosciences

[MGI29-P01] Comprehensive Analysis of Multidimensional Geochemical Data of Tsunami Deposits in Eastern and Central Japan Using Machine Learning

[MGI29-P02] Application of compositional data analysis to trace elements in clinopyroxene from abyssal peridotites

[MGI29-P03] Automatic facies classification using convolutional neural network for 3D outcrop data

[MGI29-P04] A New Descriptor of Flow-Channel Structures Based on Topological Data Analysis

[MGI29-P05] Statistical characteristics of geochemical data and propriate lithological classification of Japan arc

[MGI29-P06] Conversion of grid search result to probability distribution – application for source estimation problems of geomagnetic anomaly

[MGI29-P07] Low-cost and interpretable method for estimating a regularization parameter using resolution-matrix probing

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