Multidisciplinary and Interdisciplinary (M) | ||
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Session Sub-category | General Geosciences, Information Geosciences & Simulations(GI) | |
Session ID | M-GI33 | |
Title | Data-driven geosciences | |
Short Title | Data-driven geosciences | |
Main Convener | Name | Tatsu Kuwatani |
Affiliation | Japan Agency for Marine-Earth Science and Technology | |
Co-Convener 1 | Name | Hiromichi Nagao |
Affiliation | Earthquake Research Institute, The University of Tokyo | |
Co-Convener 2 | Name | Kenta Ueki |
Affiliation | Japan Agency for Marine-Earth Science and Technology | |
Co-Convener 3 | Name | Masayuki Kano |
Affiliation | Graduate school of science, Tohoku University | |
Session Language | J | |
Scope | 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 information sciences. This session aims to provide an opportunity to gather various geoscientists to have a productive discussion for interdisciplinary collaborations. | |
Presentation Format | Oral and Poster presentation | |
Invited Authors | Takehiro Koyaguchi (Earthquake Research Institute, University of Tokyo) Yukito iba (The Institute of Statistical Mathematics) |
Time | Presentation No | Title | Presenter | Abstract |
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Oral Presentation May 27 AM2 | ||||
10:45 - 11:15 | MGI33-01 | Forecasting volcanic eruption sequence based on field data and physical models | Takehiro Koyaguchi | |
11:15 - 11:30 | MGI33-02 | Sparse modeling based feature selection of magmatic tectonic settings | Kenta Ueki | |
11:30 - 11:45 | MGI33-03 | Automatic Detection of Stationary Gravity Waves in the Venus’ Atmosphere Using Deep Generative Models | Minori Narita | |
11:45 - 12:00 | MGI33-04 | Fracture and mineral distribution analysis using hyper-resolution DEM and hyperspectral satellite imagery for detecting geothermal fluids paths | Taiki Kubo | |
12:00 - 12:15 | MGI33-05 | Geochemical characterization of deep-sea sediments in the western North Pacific Ocean by an integrated multivariate statistical technique | Kazutaka Yasukawa | |
Oral Presentation May 27 PM2 | ||||
15:30 - 16:00 | MGI33-06 | Markov Chain Monte Carlo: algorithms for multimodal distribution and their applications | Yukito iba | |
16:00 - 16:15 | MGI33-07 | Specifying rate constants and reaction path on the water-rock chemical reaction based on exchange Monte Carlo method and sparse modeling | Ryosuke Oyanagi | |
16:15 - 16:30 | MGI33-08 | Superresolution of X-ray CT images of core samples for understanding the multi-scale structures of water-rock interaction | Toshiaki Omori | |
16:30 - 16:45 | MGI33-09 | 3-dimensional Fracture Network Analysis by Persistent Homology | Miyuki Miyazawa | |
16:45 - 17:00 | MGI33-10 | Characteristic patterns and minimal dynamics of correlated seismicity in Japanese island region | mitsuhiro toriumi | |
Presentation No | Title | Presenter | Abstract |
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Poster Presentation May 27 PM1 | |||
MGI33-P01 | The geochemical database “DODAI” with high-precision location coordinates | Satoru Haraguchi | |
MGI33-P02 | Bayesian statistical evaluation method for detrital zircon geochronology | Tan Furukawa | |
MGI33-P03 | Geochemical data processing using machine learning with artificial training data and proposal of environmental evaluation method considering natural background of heavy metals in river water in mining area | Satoh Kenta | |
MGI33-P04 | Quantitative Logging Unit Classification with Hidden Markov Model | Suguru Yabe | |
MGI33-P05 | Sparse Modeling of Nonlinear Dynamics in Heterogeneous Reactions | Masaki Ito | |
MGI33-P06 | How to obtain a high-SNR EPMA map?: complementary roles of high-resolution imaging and subsequent binning | Atsushi Yasumoto | |
MGI33-P07 | Data-driven estimation of material transfer from bulk compositions | Tatsu Kuwatani |