{"id":"https://openalex.org/W4385578719","doi":"https://doi.org/10.3389/fdata.2023.1174478","title":"Arrival times by Recurrent Neural Network for induced seismic events from a permanent network","display_name":"Arrival times by Recurrent Neural Network for induced seismic events from a permanent network","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385578719","doi":"https://doi.org/10.3389/fdata.2023.1174478","pmid":"https://pubmed.ncbi.nlm.nih.gov/37600499"},"language":"en","primary_location":{"id":"doi:10.3389/fdata.2023.1174478","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdata.2023.1174478","pdf_url":"https://www.frontiersin.org/articles/10.3389/fdata.2023.1174478/pdf","source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/articles/10.3389/fdata.2023.1174478/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050691820","display_name":"Petr Kol\u00e1\u0159","orcid":"https://orcid.org/0000-0002-0131-8315"},"institutions":[{"id":"https://openalex.org/I4210126723","display_name":"Czech Academy of Sciences, Institute of Geophysics","ror":"https://ror.org/02e8b2r87","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210126723"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Petr Kolar","raw_affiliation_strings":["Institute of Geophysics of the Czech Academy of Sciences, Prague, Czechia"],"affiliations":[{"raw_affiliation_string":"Institute of Geophysics of the Czech Academy of Sciences, Prague, Czechia","institution_ids":["https://openalex.org/I4210126723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082388493","display_name":"Umair bin Waheed","orcid":"https://orcid.org/0000-0002-5189-0694"},"institutions":[{"id":"https://openalex.org/I134085113","display_name":"King Fahd University of Petroleum and Minerals","ror":"https://ror.org/03yez3163","country_code":"SA","type":"education","lineage":["https://openalex.org/I134085113"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Umair bin Waheed","raw_affiliation_strings":["Department of Geosciences, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Department of Geosciences, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia","institution_ids":["https://openalex.org/I134085113"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062017167","display_name":"Leo Eisner","orcid":"https://orcid.org/0000-0001-6376-4014"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Leo Eisner","raw_affiliation_strings":["Seismik s.r.o., Prague, Czechia"],"affiliations":[{"raw_affiliation_string":"Seismik s.r.o., Prague, Czechia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035165873","display_name":"Petr Matou\u0161ek","orcid":"https://orcid.org/0000-0002-0930-6773"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Petr Matousek","raw_affiliation_strings":["Seismik s.r.o., Prague, Czechia"],"affiliations":[{"raw_affiliation_string":"Seismik s.r.o., Prague, Czechia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5082388493"],"corresponding_institution_ids":["https://openalex.org/I134085113"],"apc_list":{"value":1150,"currency":"USD","value_usd":1150},"apc_paid":{"value":1150,"currency":"USD","value_usd":1150},"fwci":0.522,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7146502,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"6","issue":null,"first_page":"1174478","last_page":"1174478"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13018","display_name":"Seismology and Earthquake Studies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13018","display_name":"Seismology and Earthquake Studies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11757","display_name":"Seismic Waves and Analysis","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.7240476608276367},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.681484580039978},{"id":"https://openalex.org/keywords/arrival-time","display_name":"Arrival time","score":0.6784719824790955},{"id":"https://openalex.org/keywords/induced-seismicity","display_name":"Induced seismicity","score":0.6610729694366455},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5814762115478516},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5669155120849609},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.4152204692363739},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3961172103881836},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37312400341033936},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3583225905895233},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3569493293762207},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.27964961528778076},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2069251835346222},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09101453423500061}],"concepts":[{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.7240476608276367},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.681484580039978},{"id":"https://openalex.org/C3017552255","wikidata":"https://www.wikidata.org/wiki/Q4135208","display_name":"Arrival time","level":2,"score":0.6784719824790955},{"id":"https://openalex.org/C83176761","wikidata":"https://www.wikidata.org/wiki/Q1394636","display_name":"Induced seismicity","level":2,"score":0.6610729694366455},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5814762115478516},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5669155120849609},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.4152204692363739},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3961172103881836},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37312400341033936},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3583225905895233},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3569493293762207},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.27964961528778076},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2069251835346222},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09101453423500061},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/fdata.2023.1174478","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdata.2023.1174478","pdf_url":"https://www.frontiersin.org/articles/10.3389/fdata.2023.1174478/pdf","source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},{"id":"pmid:37600499","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37600499","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in big data","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10436615","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10436615","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10436615/pdf/fdata-06-1174478.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Front Big Data","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:b3460dd4df164cad87da822fa4322fa3","is_oa":true,"landing_page_url":"https://doaj.org/article/b3460dd4df164cad87da822fa4322fa3","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Big Data, Vol 6 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3389/fdata.2023.1174478","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdata.2023.1174478","pdf_url":"https://www.frontiersin.org/articles/10.3389/fdata.2023.1174478/pdf","source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322323","display_name":"King Fahd University of Petroleum and Minerals","ror":"https://ror.org/03yez3163"},{"id":"https://openalex.org/F4320336956","display_name":"College of Petroleum Engineering and Geosciences, King Fahd University of Petroleum and Minerals","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4385578719.pdf"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W2044686992","https://openalex.org/W2066155059","https://openalex.org/W2081908598","https://openalex.org/W2105333540","https://openalex.org/W2163605009","https://openalex.org/W2398851514","https://openalex.org/W2799565130","https://openalex.org/W2895546528","https://openalex.org/W2897402093","https://openalex.org/W2909899137","https://openalex.org/W2967508766","https://openalex.org/W3047855151","https://openalex.org/W3082436677","https://openalex.org/W3097459854","https://openalex.org/W3125832420","https://openalex.org/W3200464395","https://openalex.org/W4206824787","https://openalex.org/W4206958164","https://openalex.org/W4224292405","https://openalex.org/W4225972076","https://openalex.org/W4286216737","https://openalex.org/W4293298413","https://openalex.org/W4323257008","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W4236534529","https://openalex.org/W2066927798","https://openalex.org/W2740803578","https://openalex.org/W780901029","https://openalex.org/W4297348894","https://openalex.org/W2391280303","https://openalex.org/W2411262147","https://openalex.org/W2318698444","https://openalex.org/W2048518989","https://openalex.org/W3138902107"],"abstract_inverted_index":{"We":[0],"have":[1],"developed":[2],"a":[3,14,35,65,151],"Recurrent":[4],"Neural":[5],"Network":[6],"(RNN)-based":[7],"phase":[8,90],"picker":[9,91],"for":[10,21,45,97],"data":[11,33],"obtained":[12],"from":[13,34,162,185],"local":[15],"seismic":[16,138],"monitoring":[17,47],"array":[18],"specifically":[19],"designated":[20],"induced":[22,76],"seismicity":[23],"analysis.":[24],"The":[25,41,144],"proposed":[26],"algorithm":[27,42,71],"was":[28],"rigorously":[29],"tested":[30],"using":[31],"real-world":[32],"network":[36],"encompassing":[37],"nine":[38],"three-component":[39],"stations.":[40],"is":[43,61],"designed":[44],"multiple":[46],"of":[48,85,146,153,168,174],"repeated":[49],"injection":[50],"within":[51,186],"the":[52,59,69,86,109,114,166,175,182,187],"permanent":[53],"array.":[54,87],"For":[55],"such":[56],"an":[57,93],"array,":[58],"RNN":[60],"initially":[62],"trained":[63,70],"on":[64,113],"foundational":[66],"dataset,":[67],"enabling":[68],"to":[72,103,118,122,136,155],"accurately":[73],"identify":[74],"other":[75],"events":[77,139,147],"even":[78],"if":[79],"they":[80],"occur":[81],"in":[82],"different":[83],"regions":[84],"Our":[88],"RNN-based":[89],"achieved":[92],"accuracy":[94],"exceeding":[95],"80%":[96],"arrival":[98,115,125,131],"time":[99],"picking":[100,106],"when":[101,157],"compared":[102],"precise":[104],"manual":[105,163],"techniques.":[107],"However,":[108],"event":[110],"locations":[111],"(based":[112],"picking)":[116],"had":[117],"be":[119],"further":[120],"constrained":[121],"avoid":[123],"false":[124],"picks.":[126],"By":[127],"utilizing":[128],"these":[129],"refined":[130],"times,":[132],"we":[133],"were":[134],"able":[135],"locate":[137],"and":[140],"assess":[141],"their":[142],"magnitudes.":[143],"magnitudes":[145],"processed":[148],"automatically":[149],"exhibited":[150],"discrepancy":[152],"up":[154],"0.3":[156],"juxtaposed":[158],"with":[159],"those":[160],"derived":[161],"processing.":[164],"Importantly,":[165],"efficacy":[167],"our":[169],"results":[170],"remains":[171],"consistent":[172],"irrespective":[173],"specific":[176],"training":[177],"dataset":[178,183],"employed,":[179],"provided":[180],"that":[181],"originates":[184],"network.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
