About: Similarity of fast and slow earthquakes illuminated by machine learning

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scholarly article by Claudia Hulbert et al published 17 December 2018 in Nature Geoscience

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована в грудні 2018 (uk) im Dezember 2018 veröffentlichter wissenschaftlicher Artikel (de) scholarly article by Claudia Hulbert et al published 17 December 2018 in Nature Geoscience (en)
publication date	wds:Q63790196-0133CD68-9C2B-42EF-BB69-89DA63AB3974
publication date	2018-12-17 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q63790196-43FC7DDA-9AEB-40A0-A3C4-CA3B6860C7C1
language of work or name	English
exact match	wds:Q63790196-35B243B2-FA51-4A90-B1D1-ECF0595A3078
exact match	https://scigraph.springernature.com/pub.10.1038/s41561-018-0272-8
cites work	wds:Q63790196-017C57FB-4399-4B24-87FB-793A63BD69E1 wds:Q63790196-05F29D65-D6D5-45A1-958B-DA6C602AD642 wds:Q63790196-154789D0-8555-477E-A3A4-64AF4B8A1B5F wds:Q63790196-19FD4FCF-9BF3-4D72-8DEC-7BF43C88BA17 wds:Q63790196-1E81FF2D-D91D-4421-9372-6EF26745CB8D wds:Q63790196-224EF280-F531-49D1-BC34-16B52C439A65 wds:Q63790196-38606C68-70E0-4F4B-8B56-7A71B7C91561 wds:Q63790196-49BA3CDD-CA53-4DC7-96DD-D558410B5A7E wds:Q63790196-57FB9F6A-6DA8-45EA-A060-E270E75C5010 wds:Q63790196-61EE2B70-FD9E-47D2-ABAA-B681CF5580FA wds:Q63790196-65B80CCB-932F-46FD-9A56-A0D619EE711D wds:Q63790196-816D926F-4345-40FE-89E4-5C5EEE73E38F wds:Q63790196-829F2341-B4D0-48A5-AB7A-6E60FD267859 wds:Q63790196-89DDC83E-0532-476D-ABCC-E6C862DBC06A wds:Q63790196-99659693-07EE-492B-B77D-7A6F0000A8AB wds:Q63790196-A2EA0241-3816-4E51-B502-593A4F4614A8 wds:Q63790196-B3F7E6CB-D846-4C78-B53A-26989A5EC627 wds:Q63790196-D09FCAB2-AA41-4472-BDC8-8596AFF189D6 wds:Q63790196-DAF705E6-2EB2-4696-815A-B8534715C01C wds:Q63790196-DE5878A7-0A4B-4FA0-A064-1A888FEFA6A9 wds:Q63790196-EAAC7759-0AF3-4DF9-B176-F3EAF736ACFE
cites work	Additive logistic regression: a statistical view of boosting Laboratory observations of slow earthquakes and the spectrum of tectonic fault slip modes A scaling law for slow earthquakes. Slow earthquakes, preseismic velocity changes, and the origin of slow frictional stick-slip Propagation of slow slip leading up to the 2011 M(w) 9.0 Tohoku-Oki earthquake Stick-slip as a mechanism for earthquakes Laboratory-Derived Friction Laws and Their Application to Seismic Faulting Machine Learning Predicts Laboratory Earthquakes Frictional Resistance within the Wake of Frictional Rupture Fronts. The Parkfield tremors reveal slow and fast ruptures on the same asperity. Reconsidering earthquake scaling Connecting slow earthquakes to huge earthquakes Triggering of the 2014 M w 7.3 Papanoa earthquake by a slow slip event in Guerrero, Mexico Estimating Fault Friction From Seismic Signals in the Laboratory Do faults preserve a record of seismic slip: A second opinion Acoustic emission and microslip precursors to stick-slip failure in sheared granular material Precursory changes in seismic velocity for the spectrum of earthquake failure modes Revealing the cluster of slow transients behind a large slow slip event. Complexity of the deep San Andreas Fault zone defined by cascading tremor Characteristics of slow earthquakes in the very low frequency band: Application to the Cascadia subduction zone Continuous chatter of the Cascadia subduction zone revealed by machine learning
author name string	wds:Q63790196-04B3C651-35E3-4439-9CE6-AE2030C37257 wds:Q63790196-277F0150-1212-49E9-8635-E962898BE6C5 wds:Q63790196-486666F9-F0BC-4581-A919-B9BADAF37581 wds:Q63790196-83BBE8C7-B64D-421F-9439-D37FB6CD3D3F wds:Q63790196-95E5719D-8FFE-4895-968F-96BADC55C267 wds:Q63790196-A9EC9362-4103-44BC-8947-CBFF0ED571DC
author name string	Jacques Rivière Christopher X. Ren Chris Marone Paul A. Johnson Claudia Hulbert David C. Bolton
rdfs:label	Similarity of fast and slow earthquakes illuminated by machine learning (en) Similarity of fast and slow earthquakes illuminated by machine learning (nl)
skos:prefLabel	Similarity of fast and slow earthquakes illuminated by machine learning (en) Similarity of fast and slow earthquakes illuminated by machine learning (nl)
name	Similarity of fast and slow earthquakes illuminated by machine learning (en) Similarity of fast and slow earthquakes illuminated by machine learning (nl)
author	wds:Q63790196-AFC6A5B6-3020-41D7-9F1D-195878F00E23
author	Bertrand Rouet-Leduc
title	wds:Q63790196-0B0B2983-0293-4589-BC27-D9DACC200BE9
title	Similarity of fast and slow earthquakes illuminated by machine learning (en)
page(s)	wds:Q63790196-D1B5CDE5-7656-4780-B0B3-7CD039C002A4
page(s)	69-74
instance of	wds:Q63790196-C000DA53-9205-4C18-B95E-46374CE4E72A
instance of	scholarly article
main subject	wds:Q63790196-09108151-F61E-4668-B5DE-B9F53A899754 wds:Q63790196-B9DFA89D-3742-4D7A-BCFD-973844547670
main subject	machine learning earthquake
published in	wds:Q63790196-DAC79807-FD4C-4086-9959-4C05E184BC57
published in	Nature Geoscience
issue	wds:Q63790196-065F74E1-8FE6-4734-9E78-BBC093120151
volume	wds:Q63790196-7C452F4A-4312-4B24-AFD6-BFE27C10BFA1
issue	1
volume	12
DOI	wds:Q63790196-7EB42D38-FACE-49D5-86E2-B1715CF6B16E
DOI	http://dx.doi.org/10.1038/S41561-018-0272-8
DOI	10.1038/S41561-018-0272-8
describes a project that uses	wds:Q63790196-8433136C-20B0-47DD-A097-DE298F610975
describes a project that uses	machine learning
Dimensions Publication ID	wds:Q63790196-709E37AB-C7E9-4247-A910-B96561550B01
Dimensions Publication ID	1110453042
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q63790196
is cites work of	Continuous chatter of the Cascadia subduction zone revealed by machine learning An exponential build-up in seismic energy suggests a months-long nucleation of slow slip in Cascadia Mass wasting susceptibility assessment of snow avalanches using machine learning models

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