About: Seismology with Dark Data: Image‐Based Processing of Analog Records Using Machine Learning for the Rangely Earthquake Control Experiment

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rdf:type	Item
description	article (en) wetenschappelijk artikel (nl) наукова стаття, опублікована в грудні 2018 (uk) article scientifique publié en 2018 (fr) im Dezember 2018 veröffentlichter wissenschaftlicher Artikel (de)
publication date	wds:Q63884849-CCB426AD-5E0C-4D1F-9DFD-9A8639947446
publication date	2018-12-12 00:00:00Z (xsd:dateTime)
author name string	wds:Q63884849-0B0E59EF-5759-4D58-9783-3E70B237CE52 wds:Q63884849-3B87943F-34D0-40D7-B7E0-610B8D03DDE1 wds:Q63884849-DB99D52B-A546-41A8-9229-8513CD307D9E
author name string	Kaiwen Wang Gordon Williams William L. Ellsworth
rdfs:label	Seismology with Dark Data: Image‐Based Processing of Analog Records Using Machine Learning for the Rangely Earthquake Control Experiment (en) Seismology with Dark Data: Image‐Based Processing of Analog Records Using Machine Learning for the Rangely Earthquake Control Experiment (nl)
skos:prefLabel	Seismology with Dark Data: Image‐Based Processing of Analog Records Using Machine Learning for the Rangely Earthquake Control Experiment (en) Seismology with Dark Data: Image‐Based Processing of Analog Records Using Machine Learning for the Rangely Earthquake Control Experiment (nl)
name	Seismology with Dark Data: Image‐Based Processing of Analog Records Using Machine Learning for the Rangely Earthquake Control Experiment (en) Seismology with Dark Data: Image‐Based Processing of Analog Records Using Machine Learning for the Rangely Earthquake Control Experiment (nl)
author	wds:Q63884849-304638F8-3C91-4E3A-B197-36691BF676CD wds:Q63884849-385F3DBF-8283-4AE0-80AA-2EF6E5920630 wds:Q63884849-62F7946B-6061-4FAE-85BE-9BD14D86827D wds:Q63884849-8EDE78E7-7F62-45D9-83F6-6F7025313585
author	Gregory C. Beroza Dustin M Schroeder Justin L. Rubinstein Miao Zhang
title	wds:Q63884849-935A896E-5374-4EBF-AC6F-0638C3A6D86D
title	Seismology with Dark Data: Image‐Based Processing of Analog Records Using Machine Learning for the Rangely Earthquake Control Experiment (en)
page(s)	wds:Q63884849-5BE6165E-725D-428C-AF9C-9886D94651F1
page(s)	553-562
instance of	wds:Q63884849-E08AB6BB-3B6A-4465-A23B-E93C96C58508
instance of	scholarly article
main subject	wds:Q63884849-813EC0C9-A648-49DC-9201-D7179A8B95C0 wds:Q63884849-CBA2CAAE-04A2-4AC0-A10B-526EFD0B7ADC
main subject	machine learning earthquake
published in	wds:Q63884849-7AFC122B-2F10-4A4F-89E8-3F06A513B9D0
published in	Seismological Research Letters
issue	wds:Q63884849-694299B1-9533-4110-AD65-A359F63FA02F
volume	wds:Q63884849-5AEC26B0-7F01-48E5-9150-EDC0ABACC3A0
issue	2A
volume	90
DOI	wds:Q63884849-E4AC27F3-7848-46C3-9B60-47D490EEC3AB
DOI	http://dx.doi.org/10.1785/0220180298
DOI	10.1785/0220180298
describes a project that uses	wds:Q63884849-325AA085-64A1-4229-854D-AFF9D872642F
describes a project that uses	machine learning
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q63884849

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