{"id":"https://openalex.org/W4200087134","doi":"https://doi.org/10.3390/s21238080","title":"GroningenNet: Deep Learning for Low-Magnitude Earthquake Detection on a Multi-Level Sensor Network","display_name":"GroningenNet: Deep Learning for Low-Magnitude Earthquake Detection on a Multi-Level Sensor Network","publication_year":2021,"publication_date":"2021-12-02","ids":{"openalex":"https://openalex.org/W4200087134","doi":"https://doi.org/10.3390/s21238080","pmid":"https://pubmed.ncbi.nlm.nih.gov/34884084"},"language":"en","primary_location":{"id":"doi:10.3390/s21238080","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21238080","pdf_url":"https://www.mdpi.com/1424-8220/21/23/8080/pdf?version=1638460627","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/23/8080/pdf?version=1638460627","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034004423","display_name":"Shaheen Ahmed","orcid":"https://orcid.org/0000-0002-8720-5513"},"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":"Ahmed Shaheen","raw_affiliation_strings":["Department of Geosciences, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-8720-5513","affiliations":[{"raw_affiliation_string":"Department of Geosciences, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia","institution_ids":["https://openalex.org/I134085113"]}]},{"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":false,"raw_author_name":"Umair bin Waheed","raw_affiliation_strings":["Department of Geosciences, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-5189-0694","affiliations":[{"raw_affiliation_string":"Department of Geosciences, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia","institution_ids":["https://openalex.org/I134085113"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110681186","display_name":"Michael Fehler","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Fehler","raw_affiliation_strings":["Earth Resources Laboratory, Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA"],"raw_orcid":"https://orcid.org/0000-0002-8814-5495","affiliations":[{"raw_affiliation_string":"Earth Resources Laboratory, Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034455701","display_name":"Lubo\u0161 Soko\u013e","orcid":"https://orcid.org/0000-0001-7230-5549"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lubos Sokol","raw_affiliation_strings":["Seismik s.r.o., 12800 Prague, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seismik s.r.o., 12800 Prague, Czech Republic","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077467560","display_name":"Sherif M. Hanafy","orcid":"https://orcid.org/0000-0003-4568-2941"},"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":false,"raw_author_name":"Sherif Hanafy","raw_affiliation_strings":["Department of Geosciences, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geosciences, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia","institution_ids":["https://openalex.org/I134085113"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5034004423"],"corresponding_institution_ids":["https://openalex.org/I134085113"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":2.8663,"has_fulltext":true,"cited_by_count":32,"citation_normalized_percentile":{"value":0.92211222,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"21","issue":"23","first_page":"8080","last_page":"8080"},"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":0.9991000294685364,"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":0.9969000220298767,"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/geophone","display_name":"Geophone","score":0.8274561166763306},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.6971052885055542},{"id":"https://openalex.org/keywords/microseism","display_name":"Microseism","score":0.6653035283088684},{"id":"https://openalex.org/keywords/magnitude","display_name":"Magnitude (astronomy)","score":0.6535995006561279},{"id":"https://openalex.org/keywords/borehole","display_name":"Borehole","score":0.6495590806007385},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6276938319206238},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5956138372421265},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.5726588368415833},{"id":"https://openalex.org/keywords/induced-seismicity","display_name":"Induced seismicity","score":0.5023086071014404},{"id":"https://openalex.org/keywords/passive-seismic","display_name":"Passive seismic","score":0.4640212655067444},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3572230041027069},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3350157141685486}],"concepts":[{"id":"https://openalex.org/C54187759","wikidata":"https://www.wikidata.org/wiki/Q361564","display_name":"Geophone","level":2,"score":0.8274561166763306},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.6971052885055542},{"id":"https://openalex.org/C7266685","wikidata":"https://www.wikidata.org/wiki/Q1303250","display_name":"Microseism","level":2,"score":0.6653035283088684},{"id":"https://openalex.org/C126691448","wikidata":"https://www.wikidata.org/wiki/Q2028919","display_name":"Magnitude (astronomy)","level":2,"score":0.6535995006561279},{"id":"https://openalex.org/C150560799","wikidata":"https://www.wikidata.org/wiki/Q502102","display_name":"Borehole","level":2,"score":0.6495590806007385},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6276938319206238},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5956138372421265},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.5726588368415833},{"id":"https://openalex.org/C83176761","wikidata":"https://www.wikidata.org/wiki/Q1394636","display_name":"Induced seismicity","level":2,"score":0.5023086071014404},{"id":"https://openalex.org/C2780942248","wikidata":"https://www.wikidata.org/wiki/Q1048443","display_name":"Passive seismic","level":2,"score":0.4640212655067444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3572230041027069},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3350157141685486},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009622","descriptor_name":"Noise","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009622","descriptor_name":"Noise","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009622","descriptor_name":"Noise","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055866","descriptor_name":"Earthquakes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D055866","descriptor_name":"Earthquakes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D055866","descriptor_name":"Earthquakes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s21238080","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21238080","pdf_url":"https://www.mdpi.com/1424-8220/21/23/8080/pdf?version=1638460627","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:34884084","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34884084","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:db9c7f2cf02c4c9aa03a3476940b1e5c","is_oa":true,"landing_page_url":"https://doaj.org/article/db9c7f2cf02c4c9aa03a3476940b1e5c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 21, Iss 23, p 8080 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/23/8080/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21238080","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Sensors; Volume 21; Issue 23; Pages: 8080","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8659904","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8659904","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21238080","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21238080","pdf_url":"https://www.mdpi.com/1424-8220/21/23/8080/pdf?version=1638460627","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/10"},{"display_name":"Peace, Justice and strong institutions","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/16"}],"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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4200087134.pdf","grobid_xml":"https://content.openalex.org/works/W4200087134.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1970831581","https://openalex.org/W2097117768","https://openalex.org/W2103212315","https://openalex.org/W2117731089","https://openalex.org/W2149592092","https://openalex.org/W2154788232","https://openalex.org/W2252531811","https://openalex.org/W2528961483","https://openalex.org/W2749056081","https://openalex.org/W2762410434","https://openalex.org/W2766736793","https://openalex.org/W2789985587","https://openalex.org/W2798828763","https://openalex.org/W2889693833","https://openalex.org/W2891520470","https://openalex.org/W2895546528","https://openalex.org/W2907292342","https://openalex.org/W2919115771","https://openalex.org/W2945763408","https://openalex.org/W3037053013","https://openalex.org/W3047855151","https://openalex.org/W3102794316","https://openalex.org/W3128444015","https://openalex.org/W6748647989"],"related_works":["https://openalex.org/W3202179040","https://openalex.org/W4223430943","https://openalex.org/W4205631028","https://openalex.org/W2185813592","https://openalex.org/W332989767","https://openalex.org/W2326651046","https://openalex.org/W2278481873","https://openalex.org/W4235678604","https://openalex.org/W2619317885","https://openalex.org/W2072105628"],"abstract_inverted_index":{"Automatic":[0],"detection":[1,27,49,54],"of":[2,28,37,55,64,94,102,144,153,158,203,231,238,297,307],"low-magnitude":[3,29,82,137],"earthquakes":[4],"has":[5],"become":[6],"an":[7],"increasingly":[8],"important":[9],"research":[10],"topic":[11],"in":[12,20,97,126,147,216,265,310],"recent":[13],"years":[14,78],"due":[15],"to":[16,59,79,118,135,195,211,236,287,321],"a":[17,88,113,132,177,246,295],"sharp":[18],"increase":[19],"induced":[21],"seismicity":[22],"around":[23],"the":[24,53,61,77,92,128,140,145,185,197,204,208,217,224,228,239,253,271,282,298],"globe.":[25],"The":[26,314],"seismic":[30,106,120,173],"events":[31,121,214,268],"is":[32,57,86],"essential":[33],"for":[34,47,90],"microseismic":[35,323],"monitoring":[36,324],"hydraulic":[38],"fracturing,":[39],"carbon":[40],"capture":[41],"and":[42,44,50,104,162,219,241,262,273],"storage,":[43],"geothermal":[45],"operations":[46],"hazard":[48],"mitigation.":[51],"Moreover,":[52,277],"micro-earthquakes":[56],"crucial":[58],"understanding":[60],"underlying":[62],"mechanisms":[63],"larger":[65],"earthquakes.":[66],"Various":[67],"algorithms,":[68],"including":[69],"deep":[70,167],"learning":[71,168],"methods,":[72],"have":[73],"been":[74],"proposed":[75,315],"over":[76],"detect":[80,119,136],"such":[81],"events.":[83,107],"However,":[84],"there":[85],"still":[87],"need":[89],"improving":[91],"robustness":[93],"these":[95],"methods":[96],"discriminating":[98],"between":[99,213],"local":[100,220],"sources":[101],"noise":[103,221],"weak":[105],"In":[108],"this":[109],"study,":[110],"we":[111,181,278],"propose":[112],"convolutional":[114],"neural":[115],"network":[116],"(CNN)":[117],"from":[122,184,223,270],"shallow":[123],"borehole":[124,187,209],"stations":[125],"Groningen,":[127],"Netherlands.":[129],"We":[130,226,250],"train":[131,196,289],"CNN":[133,198,234,254,291],"model":[134,199,235,255,292],"earthquakes,":[138],"harnessing":[139],"multi-level":[141,327],"sensor":[142,179],"configuration":[143],"G-network":[146,150],"Groningen.":[148],"Each":[149],"station":[151],"consists":[152],"four":[154],"geophones":[155],"at":[156,176],"depths":[157],"50,":[159],"100,":[160],"150,":[161],"200":[163],"m.":[164],"Unlike":[165],"prior":[166],"approaches":[169],"that":[170,237,252,280,300],"use":[171,182],"3-component":[172],"records":[174,183],"only":[175,294],"single":[178],"level,":[180],"entire":[186],"as":[188],"one":[189],"training":[190,312],"example.":[191],"This":[192],"allows":[193,285],"us":[194,286],"using":[200,281,293],"moveout":[201,283],"patterns":[202],"energy":[205],"traveling":[206],"across":[207],"sensors":[210],"discriminate":[212],"originating":[215],"subsurface":[218],"arriving":[222],"surface.":[225],"compare":[227],"prediction":[229],"accuracy":[230],"our":[232,290],"trained":[233],"STA/LTA":[240,261],"template":[242,263],"matching":[243,264],"algorithms":[244],"on":[245],"two-month":[247],"continuous":[248],"record.":[249],"demonstrate":[251],"shows":[256],"significantly":[257],"better":[258],"performance":[259],"than":[260],"detecting":[266],"new":[267],"missing":[269],"catalog":[272],"minimizing":[274],"false":[275],"detections.":[276],"find":[279],"feature":[284],"effectively":[288],"fraction":[296],"data":[299],"would":[301],"be":[302,318],"needed":[303],"otherwise,":[304],"saving":[305],"plenty":[306],"manual":[308],"labor":[309],"preparing":[311],"labels.":[313],"approach":[316],"can":[317],"easily":[319],"applied":[320],"other":[322],"networks":[325],"with":[326],"sensors.":[328]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":6}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}
