{"id":"https://openalex.org/W3134912477","doi":"https://doi.org/10.1109/lgrs.2021.3059422","title":"Complex Neural Networks for Estimating Epicentral Distance, Depth, and Magnitude of Seismic Waves","display_name":"Complex Neural Networks for Estimating Epicentral Distance, Depth, and Magnitude of Seismic Waves","publication_year":2021,"publication_date":"2021-02-25","ids":{"openalex":"https://openalex.org/W3134912477","doi":"https://doi.org/10.1109/lgrs.2021.3059422","mag":"3134912477"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2021.3059422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3059422","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083932459","display_name":"Nicolae-C\u0103t\u0103lin Ristea","orcid":"https://orcid.org/0000-0002-7880-9307"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Nicolae-C\u0103t\u0103lin Ristea","raw_affiliation_strings":["CAMPUS Research Institute, University Politehnica of Bucharest, Bucharest, Romania","Department of Applied Electronics and Information Engineering, University Politehnica of Bucharest, Bucharest, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAMPUS Research Institute, University Politehnica of Bucharest, Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]},{"raw_affiliation_string":"Department of Applied Electronics and Information Engineering, University Politehnica of Bucharest, Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091483225","display_name":"Anamaria R\u0103doi","orcid":"https://orcid.org/0000-0002-7577-1067"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Anamaria Radoi","raw_affiliation_strings":["CAMPUS Research Institute, University Politehnica of Bucharest, Bucharest, Romania","Department of Applied Electronics and Information Engineering, University Politehnica of Bucharest, Bucharest, Romania"],"raw_orcid":"https://orcid.org/0000-0002-7577-1067","affiliations":[{"raw_affiliation_string":"CAMPUS Research Institute, University Politehnica of Bucharest, Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]},{"raw_affiliation_string":"Department of Applied Electronics and Information Engineering, University Politehnica of Bucharest, Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I61641377"],"apc_list":null,"apc_paid":null,"fwci":2.8674,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.91952353,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13018","display_name":"Seismology and Earthquake Studies","score":0.9997000098228455,"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":0.9997000098228455,"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/T10110","display_name":"earthquake and tectonic studies","score":0.9933000206947327,"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/T12424","display_name":"Earthquake Detection and Analysis","score":0.9926000237464905,"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/seismogram","display_name":"Seismogram","score":0.8553074598312378},{"id":"https://openalex.org/keywords/magnitude","display_name":"Magnitude (astronomy)","score":0.6619081497192383},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6536102890968323},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6404869556427002},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.4858693480491638},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.46890509128570557},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.4640437960624695},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.46384695172309875},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4506181478500366},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4362727701663971},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4184051752090454},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39314109086990356},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.37383365631103516},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2862541973590851},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11414629220962524},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09401875734329224}],"concepts":[{"id":"https://openalex.org/C169744125","wikidata":"https://www.wikidata.org/wiki/Q510375","display_name":"Seismogram","level":2,"score":0.8553074598312378},{"id":"https://openalex.org/C126691448","wikidata":"https://www.wikidata.org/wiki/Q2028919","display_name":"Magnitude (astronomy)","level":2,"score":0.6619081497192383},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6536102890968323},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6404869556427002},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.4858693480491638},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.46890509128570557},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4640437960624695},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.46384695172309875},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4506181478500366},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4362727701663971},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4184051752090454},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39314109086990356},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.37383365631103516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2862541973590851},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11414629220962524},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09401875734329224},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2021.3059422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3059422","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2115144768","https://openalex.org/W2194775991","https://openalex.org/W2762410434","https://openalex.org/W2768866948","https://openalex.org/W2774063243","https://openalex.org/W2792638927","https://openalex.org/W2793454338","https://openalex.org/W2798961812","https://openalex.org/W2899651173","https://openalex.org/W2913447624","https://openalex.org/W2948107578","https://openalex.org/W2980395728","https://openalex.org/W2987173766","https://openalex.org/W2992786058","https://openalex.org/W3012353860","https://openalex.org/W3021034800","https://openalex.org/W3035647460","https://openalex.org/W3082436677","https://openalex.org/W3102041920","https://openalex.org/W3102755745","https://openalex.org/W3121383166","https://openalex.org/W3129817624","https://openalex.org/W4385876305","https://openalex.org/W6631190155","https://openalex.org/W6637242042","https://openalex.org/W6738884980","https://openalex.org/W6747381837"],"related_works":["https://openalex.org/W2116286422","https://openalex.org/W2110190451","https://openalex.org/W2502615457","https://openalex.org/W2102481642","https://openalex.org/W1634712412","https://openalex.org/W2023174357","https://openalex.org/W2917517609","https://openalex.org/W2066487630","https://openalex.org/W3185156046","https://openalex.org/W2922305141"],"abstract_inverted_index":{"Taking":[0],"advantage":[1],"of":[2,20,34,63,81,130,171],"the":[3,21,82,86,162,169,172],"latest":[4],"advances":[5],"in":[6,85],"deep":[7],"learning":[8],"for":[9,24,50,133,138,142],"seismology,":[10],"we":[11,45],"address":[12],"earthquake":[13],"characterization":[14],"from":[15,27,58,103,112],"a":[16,31,47,114,126,150],"data-driven":[17],"perspective.":[18],"Many":[19],"usual":[22],"procedures":[23],"extracting":[25,104],"information":[26,106],"seismograms":[28,62],"require":[29],"processing":[30],"large":[32,154],"volume":[33],"data":[35,84,158],"using":[36,90],"empirical":[37],"and":[38,55,93,111,140,153,161,177],"physics":[39],"rule-based":[40],"techniques.":[41],"In":[42,96],"this":[43,97],"letter,":[44],"propose":[46],"novel":[48],"approach":[49],"estimating":[51],"epicentral":[52,134],"distance,":[53,135],"depth,":[54,139],"magnitude":[56,143],"directly":[57],"individual":[59],"raw":[60],"three-component":[61],"1-min":[64],"length":[65],"observed":[66],"by":[67,89],"single":[68,115],"stations.":[69],"Our":[70],"convolutional":[71,92],"neural":[72],"network-based":[73],"method":[74,100,124],"is":[75],"able":[76],"to":[77],"handle":[78],"complex-valued":[79],"representations":[80],"seismic":[83],"time\u2013frequency":[87,108],"domain":[88,109],"dedicated":[91],"activation":[94],"functions.":[95],"way,":[98],"our":[99],"benefits":[101],"both":[102],"relevant":[105],"through":[107],"analysis":[110],"designing":[113],"architecture":[116],"that":[117],"deals":[118],"with":[119,164],"complex":[120],"information.":[121],"The":[122,145],"proposed":[123,173],"achieves":[125],"mean":[127],"absolute":[128],"error":[129],"4.51":[131],"km":[132,137],"6.15":[136],"0.26":[141],"estimation.":[144],"experiments":[146],"were":[147],"conducted":[148],"over":[149],"publicly":[151],"available":[152,181],"database,":[155],"STanford":[156],"EArthquake":[157],"set":[159],"(STEAD),":[160],"comparisons":[163],"current":[165],"state-of-the-art":[166],"approaches":[167],"show":[168],"effectiveness":[170],"approach.":[174],"Source":[175],"code":[176],"best":[178],"model":[179],"are":[180],"athttps://github.com/ristea/stead-earthquake-cnn.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}