Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/15559
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dc.date.accessioned2022-03-16T10:49:56Z-
dc.date.available2022-03-16T10:49:56Z-
dc.date.issued2021-
dc.identifier.urihttp://hdl.handle.net/2122/15559-
dc.description.abstractNo abstract since it is an erratumen_US
dc.language.isoEnglishen_US
dc.relation.ispartofGeophysical Journal Internationalen_US
dc.relation.ispartofseries2/226(2021)en_US
dc.relation.isversionofhttp://hdl.handle.net/2122/14457en_US
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.titleErratum: Rapid prediction of earthquake ground shaking intensity using raw waveform data and a convolutional neural networken_US
dc.typearticleen
dc.description.statusPublisheden_US
dc.type.QualityControlPeer-revieweden_US
dc.description.pagenumber1249-1249en_US
dc.subject.INGVErratum to previously published article (10.1093/gji/ggaa233)en_US
dc.identifier.doi10.1093/gji/ggab175en_US
dc.relation.referencesJozinovic, Dario, Anthony Lomax, Ivan Štajduhar, and Alberto Michelini. “Rapid Prediction of Earthquake Ground Shaking Intensity Using Raw Waveform Data and a Convolutional Neural Network.” Geophysical Journal International 222, no. 2 (May 31, 2020): 1379–89. https://doi.org/10.1093/gji/ggaa233.en_US
dc.description.obiettivoSpecifico5T. Sismologia, geofisica e geologia per l'ingegneria sismicaen_US
dc.description.obiettivoSpecifico8T. Sismologia in tempo reale e Early Warning Sismico e da Tsunamien_US
dc.description.journalTypeJCR Journalen_US
dc.contributor.authorJozinović, Dario-
dc.contributor.authorLomax, Anthony-
dc.contributor.authorŠtajduhar, Ivan-
dc.contributor.authorMichelini, Alberto-
dc.contributor.departmentIstituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione ONT, Roma, Italiaen_US
item.openairetypearticle-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
crisitem.author.deptDepartment of Computer Engineering, Faculty of Engineering, University of Rijeka-
crisitem.author.deptIstituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione ONT, Roma, Italia-
crisitem.author.orcid0000-0001-7443-3915-
crisitem.author.orcid0000-0002-7747-5990-
crisitem.author.orcid0000-0003-4758-7972-
crisitem.author.orcid0000-0001-6716-8551-
crisitem.author.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
crisitem.department.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
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