[J] Poster

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

[M-GI34] Data-driven geosciences

Mon. May 30, 2022 11:00 AM - 1:00 PM Online Poster Zoom Room (37) (Ch.37)

convener:Tatsu Kuwatani(Japan Agency for Marine-Earth Science and Technology), convener:Hiromichi Nagao(Earthquake Research Institute, The University of Tokyo), Kenta Ueki(Japan Agency for Marine-Earth Science and Technology), convener:Shin-ichi Ito(The University of Tokyo), Chairperson:Tatsu Kuwatani(Japan Agency for Marine-Earth Science and Technology), Kenta Ueki(Japan Agency for Marine-Earth Science and Technology)

It is important to extract essential processes and structures from observed data sets in order to understand and predict the dynamic behavior of the earth and planetary systems. Recently, many powerful methodologies have been proposed to extract useful information from high-dimensional data sets in mathematical and information sciences. This session aims to provide an opportunity to gather various geoscientists to have a productive discussion for interdisciplinary collaborations.

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11:00 AM - 1:00 PM

[MGI34-P01] Present situations and challenges in understanding the geochemical characteristics of the Japan arc, as shown by the area ratio and the geochemical data of each lithological groups.

*Satoru Haraguchi¹, Kenta Ueki², Hikaru Iwamori¹ (1.Earthquake Research Institute, The University of Tokyo, 2.Japan Agency for Marine-Earth Science and Technology)

11:00 AM - 1:00 PM

[MGI34-P02] Regression analysis and variable selection that relate stagnation/penetration of subducting plates with subduction-zone parameters

*Atsushi Nakao¹, Tatsu Kuwatani¹, Kenta Ueki¹, Kenta Yoshida¹, Taku Yutani¹, Hideitsu Hino², Shotaro Akaho³ (1.Research Institute for Marine Geodynamics, Japan Agency for Marine-Earth Science and Technology, 2.Department of Statistical Modeling, The Institute of Statistical Mathematics, 3.Human Informatics Research Institute, National Institute of Advanced Industrial Science and Technology)

11:00 AM - 1:00 PM

[MGI34-P03] Simultaneous estimation of continuous and discontinuous variables from observation images using a Markov-random-field (MRF) model

*Tatsu Kuwatani¹, Kenji Nagata², Masato Okada³ (1.Japan Agency for Marine-Earth Science and Technology (JAMSTEC), 2.National Institute for Materials Science (NIMS), 3.Graduate School of Frontier Sciences, The University of Tokyo)

11:00 AM - 1:00 PM

[MGI34-P04] The importance of the measurement process in super-resolution and a toy model analysis of the back-projection

*Taku Yutani¹, Atsushi Nakao¹, Tatsu Kuwatani¹ (1.Japan Agency for Marine-Earth Science and Technology)

11:00 AM - 1:00 PM

[MGI34-P05] Superresolution of X-ray CT images of serpentinites by sparse modeling

Shoi Suzuki¹, Atsushi Okamoto², Katsuyoshi Michibayashi³, *Toshiaki Omori¹ (1.Kobe University, 2.Tohoku University, 3.Nagoya University)

11:00 AM - 1:00 PM

[MGI34-P06] Machine Learning Geochemical Discrimination of Muddy Tsunami Deposits in NE Japan
by Using SVM, Random Forest, and UMAP.

tomohisa shimada¹, Matsuno Satoshi¹, Diana Mindaleva¹, *Noriyoshi Tsuchiya¹ (1.Graduate School of Environmental Studies, Tohoku University)

11:00 AM - 1:00 PM

[MGI34-P07] Extracting major element compositions of magmatic end-member components using non-negative matrix factorization

*Kenta Ueki¹, Kenta Yoshida¹, Tatsu Kuwatani¹, Shotaro Akaho² (1.Japan Agency for Marine-Earth Science and Technology, 2.The National Institute of Advanced Industrial Science and Technology)

Session information

[M-GI34] Data-driven geosciences

[MGI34-P01] Present situations and challenges in understanding the geochemical characteristics of the Japan arc, as shown by the area ratio and the geochemical data of each lithological groups.

[MGI34-P02] Regression analysis and variable selection that relate stagnation/penetration of subducting plates with subduction-zone parameters

[MGI34-P03] Simultaneous estimation of continuous and discontinuous variables from observation images using a Markov-random-field (MRF) model

[MGI34-P04] The importance of the measurement process in super-resolution and a toy model analysis of the back-projection

[MGI34-P05] Superresolution of X-ray CT images of serpentinites by sparse modeling

[MGI34-P06] Machine Learning Geochemical Discrimination of Muddy Tsunami Deposits in NE Japan
by Using SVM, Random Forest, and UMAP.

[MGI34-P07] Extracting major element compositions of magmatic end-member components using non-negative matrix factorization

Authentication

Session information

[M-GI34] Data-driven geosciences

[MGI34-P01] Present situations and challenges in understanding the geochemical characteristics of the Japan arc, as shown by the area ratio and the geochemical data of each lithological groups.

[MGI34-P02] Regression analysis and variable selection that relate stagnation/penetration of subducting plates with subduction-zone parameters

[MGI34-P03] Simultaneous estimation of continuous and discontinuous variables from observation images using a Markov-random-field (MRF) model

[MGI34-P04] The importance of the measurement process in super-resolution and a toy model analysis of the back-projection

[MGI34-P05] Superresolution of X-ray CT images of serpentinites by sparse modeling

[MGI34-P06] Machine Learning Geochemical Discrimination of Muddy Tsunami Deposits in NE Japan by Using SVM, Random Forest, and UMAP.

[MGI34-P07] Extracting major element compositions of magmatic end-member components using non-negative matrix factorization

Authentication

[MGI34-P06] Machine Learning Geochemical Discrimination of Muddy Tsunami Deposits in NE Japan
by Using SVM, Random Forest, and UMAP.