Discriminating seismic events using 1D and 2D CNNs : applications to volcanic and tectonic datasets
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DOI[10.1186/s40623-022-01696-1]to the data of the same series
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- Material Type
- 記事
- Title
- Author/Editor
- Masaru NakanoDaisuke Sugiyama
- Publication, Distribution, etc.
- Publication Date
- 2022-09-08
- Publication Date (W3CDTF)
- 2022-09-08
- Periodical title
- EPS : Earth, Planets and Space
- No. or year of volume/issue
- 74(134)
- Volume
- 74(134)
- ISSN (Periodical Title)
- 1880-5981
- ISSN-L (Periodical Title)
- 1343-8832
- Text Language Code
- eng
- DOI
- 10.1186/s40623-022-01696-1
- Persistent ID (NDL)
- info:ndljp/pid/12685421
- 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)
- 2023-03-07T16:17:02+09:00
- Date Captured (W3CDTF)
- 2023-03-07
- 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/12287068
- 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/s40623-022-01696-110.21203/rs.3.rs-1829830/v1
- Access Restrictions
- インターネット公開
- Related Material (URI)
- Is Referenced By
- Recent advances in earthquake seismology using machine learning
- References
- Tidal Response in Shallow Tectonic TremorsEarthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase pickingNew, improved version of generic mapping tools releasedNonvolcanic Deep Tremor Associated with Subduction in Southwest JapanDevelopment and application of an advanced ocean floor network system for megathrust earthquakes and tsunamisEarthquake detection through computationally efficient similarity searchCRED: A Deep Residual Network of Convolutional and Recurrent Units for Earthquake Signal Detection<i>P</i> Wave Arrival Picking and First‐Motion Polarity Determination With Deep LearningGeophysical Exploration Linking Deep Earth and Backyard GeologyShallow very-low-frequency earthquakes accompany slow slip events in the Nankai subduction zoneConstruction of the DONET real-time seafloor observatory for earthquakes and tsunami monitoringArtificial neural network-based seismic detectorIn-depth comparison of deep artificial neural network architectures on seismic events classificationDeepPhasePick: A method for detecting and picking seismic phases from local earthquakes based on highly optimized convolutional and recurrent deep neural networksProbing Slow Earthquakes With Deep LearningDiscrimination of Earthquakes and Underwater Explosions Using Neural NetworksMachine learning reveals cyclic changes in seismic source spectra in Geysers geothermal fieldDiscrimination of Seismic Signals from Earthquakes and Tectonic Tremor by Applying a Convolutional Neural Network to Running Spectral ImagesAutomatic Classification of Seismic Signals at Mt. Vesuvius Volcano, Italy, Using Neural NetworksDetecting tectonic tremor through frequency scanning at a single station: Application to the Cascadia marginSeismic Event and Phase Detection Using Time–Frequency Representation and Convolutional Neural NetworksGeneralized Seismic Phase Detection with Deep LearningLong-period volcano seismicity: its source and use in eruption forecastingMyShake: A smartphone seismic network for earthquake early warning and beyondNeocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in positionDeep learningConvolutional neural network for earthquake detection and locationSlow Earthquakes Coincident with Episodic Tremors and Slow Slip EventsNIED MOWLAS (Monitoring of Waves on Land and Seafloor)Application of deep learning-based neural networks using theoretical seismograms as training data for locating earthquakes in the Hakone volcanic region, JapanMOWLAS : NIED observation network for earthquake, tsunami and volcanoA convolutional neural network-based classification of local earthquakes and tectonic tremors in Sanriku-oki, Japan, using S-net data
- 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Crossref
- Bibliographic ID (NDL)
- 12685421