{"id":"https://openalex.org/W2406877297","doi":"https://doi.org/10.1007/978-3-319-25159-2_52","title":"A Fuzzy Inspired Approach to Seismic Anomaly Detection","display_name":"A Fuzzy Inspired Approach to Seismic Anomaly Detection","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2406877297","doi":"https://doi.org/10.1007/978-3-319-25159-2_52","mag":"2406877297"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-25159-2_52","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-25159-2_52","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-319-25159-2_52","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046970093","display_name":"Vyron Christodoulou","orcid":"https://orcid.org/0000-0003-3835-3891"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Vyron Christodoulou","raw_affiliation_strings":["School of Computing and Mathematics, Ulster University, Jordanstown Newtownabbey, Co. Antrim, BT37 0QB, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Mathematics, Ulster University, Jordanstown Newtownabbey, Co. Antrim, BT37 0QB, UK","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027797605","display_name":"Yaxin Bi","orcid":"https://orcid.org/0000-0002-0979-4084"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yaxin Bi","raw_affiliation_strings":["School of Computing and Mathematics, Ulster University, Jordanstown Newtownabbey, Co. Antrim, BT37 0QB, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Mathematics, Ulster University, Jordanstown Newtownabbey, Co. Antrim, BT37 0QB, UK","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100859771","display_name":"Guoze Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4391768021","display_name":"Institute of Geology, China Earthquake Administration","ror":"https://ror.org/03z8dnf91","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391768021","https://openalex.org/I90149893"]},{"id":"https://openalex.org/I90149893","display_name":"China Earthquake Administration","ror":"https://ror.org/045sza929","country_code":"CN","type":"facility","lineage":["https://openalex.org/I90149893"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoze Zhao","raw_affiliation_strings":["State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Yard No.1, Hua Yan Li, Chaoyang District, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Yard No.1, Hua Yan Li, Chaoyang District, Beijing, China","institution_ids":["https://openalex.org/I90149893","https://openalex.org/I4391768021"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"575","last_page":"587"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12424","display_name":"Earthquake Detection and Analysis","score":0.9993000030517578,"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":0.9993000030517578,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T13018","display_name":"Seismology and Earthquake Studies","score":0.9940999746322632,"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":0.7401759624481201},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6794406771659851},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5809897184371948},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5028917193412781},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.48616501688957214},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4737214148044586},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4599413573741913},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45434826612472534},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4470868408679962},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4316251277923584},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4272359311580658},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40916523337364197},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.135242760181427},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.10593557357788086}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7401759624481201},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6794406771659851},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5809897184371948},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5028917193412781},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.48616501688957214},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4737214148044586},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4599413573741913},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45434826612472534},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4470868408679962},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4316251277923584},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4272359311580658},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40916523337364197},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.135242760181427},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.10593557357788086},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","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:10.1007/978-3-319-25159-2_52","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-25159-2_52","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-319-25159-2_52","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-25159-2_52","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1973077600","https://openalex.org/W1988398062","https://openalex.org/W2014706377","https://openalex.org/W2044019460","https://openalex.org/W2048086089","https://openalex.org/W2068094984","https://openalex.org/W2070370121","https://openalex.org/W2087182622","https://openalex.org/W2103778019","https://openalex.org/W2122493754","https://openalex.org/W2125527601","https://openalex.org/W2140519269","https://openalex.org/W2157202423","https://openalex.org/W2161887712","https://openalex.org/W2164274563"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4300558037","https://openalex.org/W4377864969","https://openalex.org/W3030345572"],"abstract_inverted_index":{"In":[0],"this":[1],"work":[2],"we":[3],"investigate":[4],"the":[5,43,71,74,81,84,117,121,141,145],"use":[6],"of":[7,26,42,73,104,123,147],"a":[8,34,53,76],"fuzzy":[9,77],"inspired":[10],"approach":[11],"for":[12,120,140,144],"anomaly":[13,39,50],"detection":[14,122,146],"in":[15,33,102,126,149],"different":[16],"electromagnetic":[17,150],"sequential":[18,151],"time":[19,152],"series":[20,153],"datasets.":[21,154],"The":[22,107,131],"method":[23,92,108,143],"proposed":[24,142],"consists":[25],"simple":[27],"component":[28,44],"methods":[29,45],"that":[30],"are":[31],"aggregated":[32],"serialized":[35],"way":[36],"to":[37,128,137],"achieve":[38],"detection.":[40],"Each":[41],"adds":[46],"an":[47,60],"element":[48],"towards":[49],"detection,":[51],"i.e.":[52],"smoothing":[54],"filter":[55],"removes":[56],"any":[57],"unwanted":[58],"noise,":[59],"automated":[61],"peak":[62],"finding":[63],"with":[64,99],"Fast":[65],"Fourier":[66],"Transformation":[67],"and":[68,87],"correlation,":[69],"reduces":[70],"dimensionality":[72],"signal,":[75],"inference":[78],"system":[79],"encodes":[80],"signal":[82],"before":[83],"final":[85],"comparison":[86],"its":[88],"respective":[89],"output.":[90],"This":[91],"is":[93,109],"evaluated":[94,111],"on":[95],"6":[96],"benchmark":[97],"datasets":[98,114],"promising":[100,139],"results":[101,134],"terms":[103],"F-measure":[105],"accuracy.":[106],"also":[110,135],"over":[112],"real":[113],"gathered":[115],"from":[116],"SWARM":[118],"satellites":[119],"possible":[124],"anomalies":[125,148],"relation":[127],"seismic":[129],"events.":[130],"preliminary":[132],"experimental":[133],"prove":[136],"be":[138]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
