{"id":"https://openalex.org/W4285226399","doi":"https://doi.org/10.1109/tgrs.2022.3183389","title":"LSTM-Autoencoder Network for the Detection of Seismic Electric Signals","display_name":"LSTM-Autoencoder Network for the Detection of Seismic Electric Signals","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285226399","doi":"https://doi.org/10.1109/tgrs.2022.3183389"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3183389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3183389","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","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/A5072940610","display_name":"Jiyan Xue","orcid":"https://orcid.org/0000-0002-9588-9804"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiyan Xue","raw_affiliation_strings":["Department of Geophysics, School of Earth and Space Sciences, Peking University, Beijing, China","Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9588-9804","affiliations":[{"raw_affiliation_string":"Department of Geophysics, School of Earth and Space Sciences, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019243973","display_name":"Qinghua Huang","orcid":"https://orcid.org/0000-0002-1923-3002"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghua Huang","raw_affiliation_strings":["Department of Geophysics, School of Earth and Space Sciences, Peking University, Beijing, China","Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1923-3002","affiliations":[{"raw_affiliation_string":"Department of Geophysics, School of Earth and Space Sciences, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081671962","display_name":"Sihong Wu","orcid":"https://orcid.org/0000-0002-5584-664X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sihong Wu","raw_affiliation_strings":["Department of Geophysics, School of Earth and Space Sciences, Peking University, Beijing, China","Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5584-664X","affiliations":[{"raw_affiliation_string":"Department of Geophysics, School of Earth and Space Sciences, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042121604","display_name":"Toshiyasu Nagao","orcid":"https://orcid.org/0000-0001-5892-4191"},"institutions":[{"id":"https://openalex.org/I1314466530","display_name":"Tokai University","ror":"https://ror.org/01p7qe739","country_code":"JP","type":"education","lineage":["https://openalex.org/I1314466530"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshiyasu Nagao","raw_affiliation_strings":["Institute of Oceanic Research and Development, Tokai University, Shizuoka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Oceanic Research and Development, Tokai University, Shizuoka, Japan","institution_ids":["https://openalex.org/I1314466530"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.1618,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.95179642,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12424","display_name":"Earthquake Detection and Analysis","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T12424","display_name":"Earthquake Detection and Analysis","score":0.9998000264167786,"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/T10572","display_name":"Geophysical and Geoelectrical Methods","score":0.9882000088691711,"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/T13018","display_name":"Seismology and Earthquake Studies","score":0.9853000044822693,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7554507851600647},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7295201420783997},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5519947409629822},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5453093647956848},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4884473383426666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48255056142807007},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.45812758803367615},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.450824499130249},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.44817718863487244},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.44343894720077515},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4205433428287506},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38749951124191284},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3824515640735626},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3494516611099243},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3402535319328308},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17026680707931519}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7554507851600647},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7295201420783997},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5519947409629822},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5453093647956848},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4884473383426666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48255056142807007},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.45812758803367615},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.450824499130249},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.44817718863487244},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.44343894720077515},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4205433428287506},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38749951124191284},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3824515640735626},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3494516611099243},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3402535319328308},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17026680707931519},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3183389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3183389","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.5699999928474426,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G3763873878","display_name":null,"funder_award_id":"42021003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W594581985","https://openalex.org/W1498436455","https://openalex.org/W1544211475","https://openalex.org/W1551460859","https://openalex.org/W1968584580","https://openalex.org/W1980386230","https://openalex.org/W1985072037","https://openalex.org/W1988507096","https://openalex.org/W1996067118","https://openalex.org/W2001801524","https://openalex.org/W2006534487","https://openalex.org/W2006774124","https://openalex.org/W2012843096","https://openalex.org/W2015993503","https://openalex.org/W2016878766","https://openalex.org/W2017337576","https://openalex.org/W2019502123","https://openalex.org/W2025768430","https://openalex.org/W2037723816","https://openalex.org/W2041711358","https://openalex.org/W2048896405","https://openalex.org/W2059443928","https://openalex.org/W2064675550","https://openalex.org/W2078108304","https://openalex.org/W2080369974","https://openalex.org/W2097498985","https://openalex.org/W2102700228","https://openalex.org/W2105090229","https://openalex.org/W2116253846","https://openalex.org/W2136848157","https://openalex.org/W2157331557","https://openalex.org/W2165330681","https://openalex.org/W2218047931","https://openalex.org/W2355139360","https://openalex.org/W2395611524","https://openalex.org/W2461729787","https://openalex.org/W2608847424","https://openalex.org/W2794417179","https://openalex.org/W2801431207","https://openalex.org/W2884585870","https://openalex.org/W2906758140","https://openalex.org/W2910087333","https://openalex.org/W2911424749","https://openalex.org/W2997574889","https://openalex.org/W2999028958","https://openalex.org/W3012270261","https://openalex.org/W3046494982","https://openalex.org/W3048709138","https://openalex.org/W3083881986","https://openalex.org/W3162693271","https://openalex.org/W3179832185","https://openalex.org/W4233523271","https://openalex.org/W6606436598","https://openalex.org/W6606918967","https://openalex.org/W6611123946","https://openalex.org/W6631190155","https://openalex.org/W6681096077","https://openalex.org/W6780226713"],"related_works":["https://openalex.org/W2159052453","https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2752972570","https://openalex.org/W4297051394","https://openalex.org/W2734887215","https://openalex.org/W2803255133","https://openalex.org/W2669956259","https://openalex.org/W4249005693"],"abstract_inverted_index":{"Seismic":[0],"electric":[1],"signals":[2],"(SESs)":[3],"are":[4,25,32,59,178],"essential":[5],"short-term":[6,19,97],"precursors":[7],"of":[8,14,21,53,69,113,134,154,166,182,212],"earthquakes.":[9,22],"Accurate":[10],"and":[11,31,67,81,105,116,142,159,176,186,202],"efficient":[12,201],"detection":[13,48,55,111,204],"SESs":[15,24,80,130,173],"is":[16],"significant":[17],"to":[18,35,64,78,172,190],"predictions":[20],"However,":[23],"usually":[26],"disturbed":[27],"by":[28,93],"various":[29],"noises":[30],"thus":[33],"difficult":[34],"recognize.":[36],"Although":[37],"conventional":[38],"techniques":[39],"have":[40],"made":[41],"substantial":[42],"efforts":[43],"in":[44,127,131,168],"improving":[45],"the":[46,50,65,95,132,151,183,209],"SES":[47,54],"accuracy,":[49],"success":[51],"rates":[52],"at":[56],"certain":[57],"stations":[58],"still":[60],"less":[61],"satisfactory":[62],"due":[63],"complexity":[66],"diversity":[68],"noises.":[70],"In":[71],"this":[72],"study,":[73],"we":[74],"apply":[75],"deep":[76,85],"learning":[77,86],"extract":[79],"develop":[82],"a":[83,106],"novel":[84,148,196],"network":[87,123,149],"based":[88,215],"on":[89,216],"geoelectric":[90],"field":[91],"characteristics":[92],"combining":[94],"long":[96],"memory":[98],"(LSTM)":[99],"blocks":[100],"with":[101,139],"an":[102],"autoencoder":[103],"structure":[104],"time-step":[107],"attention":[108],"module.":[109],"The":[110,194],"results":[112],"both":[114],"synthetic":[115],"real":[117],"data":[118,156,167,210],"demonstrate":[119],"that":[120],"our":[121,147],"proposed":[122,195],"yields":[124],"superior":[125],"performance":[126],"detecting":[128],"embedded":[129],"presence":[133],"severe":[135],"noise":[136],"interference":[137],"compared":[138],"traditional":[140],"methods":[141],"several":[143],"well-known":[144],"networks.":[145],"Moreover,":[146],"shows":[150],"excellent":[152],"ability":[153],"massive":[155],"processing,":[157],"generalization":[158],"migration,":[160],"which":[161,206],"can":[162,198],"process":[163],"one-day&#x2019;s":[164],"worth":[165],"only":[169],"milliseconds,":[170],"adapt":[171],"whose":[174],"durations":[175],"amplitudes":[177],"different":[179],"from":[180],"those":[181],"training":[184],"set":[185],"be":[187],"easily":[188],"transferred":[189],"newly":[191],"acquired":[192],"data.":[193],"method":[197],"provide":[199],"more":[200],"accurate":[203],"results,":[205],"will":[207],"broaden":[208],"availability":[211],"hazard":[213],"mitigation":[214],"SESs.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
