Application of deep learning-based neural networks using theoretical seismograms as training data for locating earthquakes in the Hakone volcanic region, Japan
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- Material Type
- 記事
- Author/Editor
- Daisuke SugiyamaSeiji TsuboiYohei Yukutake
- Publication, Distribution, etc.
- Publication Date
- 2021-06-25
- Publication Date (W3CDTF)
- 2021-06-25
- Periodical title
- EPS : Earth, Planets and Space
- No. or year of volume/issue
- 73(135)
- Volume
- 73(135)
- ISSN (Periodical Title)
- 1880-5981
- ISSN-L (Periodical Title)
- 1343-8832
- Text Language Code
- eng
- DOI
- 10.1186/s40623-021-01461-w
- Persistent ID (NDL)
- info:ndljp/pid/11740893
- Collection
- Collection (Materials For Handicapped People:1)
- Collection (particular)
- 国立国会図書館デジタルコレクション > 電子書籍・電子雑誌 > その他
- Acquisition Basis
- オンライン資料収集制度
- Date Accepted (W3CDTF)
- 2021-10-05T00:13:24+09:00
- Date Captured (W3CDTF)
- 2021-10-01
- Format (IMT)
- application/pdf
- Access Restrictions
- 国立国会図書館内限定公開
- Service for the Digitized Contents Transmission Service
- 図書館・個人送信対象外
- Availability of remote photoduplication service
- 可
- Periodical Title (URI)
- Periodical Title (Persistent ID (NDL))
- info:ndljp/pid/11667897
- Data Provider (Database)
- 国立国会図書館 : 国立国会図書館デジタルコレクション
- Summary, etc.
- コレクション : 国立国会図書館デジタルコレクション > 電子書籍・電子雑誌 > その他
- DOI
- 10.1186/s40623-021-01461-w10.21203/rs.3.rs-295787/v1
- Access Restrictions
- インターネット公開
- Related Material
- Additional file 1 of Application of deep learning-based neural networks using theoretical seismograms as training data for locating earthquakes in the Hakone volcanic region, Japan
- Related Material (URI)
- Is Referenced By
- Reappraisal of volcanic seismicity at the Kirishima volcano using machine learningNeural phase picker trained on the Japan meteorological agency unified earthquake catalogRecent advances in earthquake seismology using machine learningDiscriminating seismic events using 1D and 2D CNNs : applications to volcanic and tectonic datasets
- References
- Spectral-element simulations of global seismic wave propagation-II. Three-dimensional models, oceans, rotation and self-gravitationSpectral-element simulations of global seismic wave propagation-I. Validation2d and 3D elastic wave propagation by a pseudo-spectral domain decomposition methodForward and adjoint simulations of seismic wave propagation on emerging large-scale GPU architecturesRobust and Fast Probabilistic Source Parameter Estimation from Near‐Field Displacement Waveforms Using Pattern RecognitionClustering earthquake signals and background noises in continuous seismic data with unsupervised deep learningIdentification and picking of<i>S</i>phase using an artificial neural networkThe spectral-element method in seismologyA magma‐hydrothermal system beneath Hakone volcano, central Japan, revealed by highly resolved velocity structuresMachine Learning for Volcano-Seismic Signals: Challenges and PerspectivesPassive seismic imaging of subwavelength natural fractures: theory and 2-D synthetic and ultrasonic data testsHigh-frequency simulations of global seismic wave propagation using SPECFEM3D_GLOBE on 62K processorsThe spectral element method: An efficient tool to simulate the seismic response of 2D and 3D geological structuresLearning Spatiotemporal Features with 3D Convolutional NetworksMachine Learning Predicts Laboratory EarthquakesProbabilistic point source inversion of strong‐motion data in 3‐D media using pattern recognition: A case study for the 2008<i>M</i><sub><i>w</i></sub>5.4 Chino Hills earthquakeA framework for fast probabilistic centroid-moment-tensor determination—inversion of regional static displacement measurementsSolving probabilistic inverse problems rapidly with prior samplesArtificial neural network-based seismic detectorDiscrimination of Seismic Signals from Earthquakes and Tectonic Tremor by Applying a Convolutional Neural Network to Running Spectral ImagesQuo Vadis, Action Recognition? A New Model and the Kinetics DatasetObject Recognition with Gradient-Based LearningOriginal approach for the localisation of objects in imagesBroadband modeling of the 2002 Denali fault earthquake on the Earth SimulatorA 1.8 trillion degrees-of-freedom, 1.24 petaflops global seismic wave simulation on the K computerGeneralized Seismic Phase Detection with Deep LearningTaking the Human Out of the Loop: A Review of Bayesian OptimizationImplementation of a Multistation Approach for Automated Event Classification at Piton de la Fournaise VolcanoLong-term recurrent convolutional networks for visual recognition and descriptionGoing deeper with convolutionsConvolutional neural network for earthquake detection and location近地地震のマグニチュードDeep Convolutional Neural Network for Cloud Coverage Estimation from Snapshot Camera Images
- References (URI)
- Data Provider (Database)
- 国立情報学研究所 : CiNii Research
- Original Data Provider (Database)
- 雑誌記事索引データベースCrossref科学研究費助成事業データベース科学研究費助成事業データベースCrossrefCrossrefCrossrefCrossref
- Bibliographic ID (NDL)
- 11740893