{"id":"https://openalex.org/W4389233044","doi":"https://doi.org/10.1109/access.2023.3338628","title":"Wavelet Transform-Based Fuzzy Clustering Microseismic First-Arrival Picking Method","display_name":"Wavelet Transform-Based Fuzzy Clustering Microseismic First-Arrival Picking Method","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4389233044","doi":"https://doi.org/10.1109/access.2023.3338628"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3338628","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3338628","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2023.3338628","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048438493","display_name":"Lin Ting-ting","orcid":"https://orcid.org/0009-0004-1269-7359"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tingting Lin","raw_affiliation_strings":["College of Mining Engineering, Taiyuan University of Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"College of Mining Engineering, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050120986","display_name":"Jingwang Cheng","orcid":"https://orcid.org/0000-0003-0811-3125"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingwang Cheng","raw_affiliation_strings":["College of Mining Engineering, Taiyuan University of Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"College of Mining Engineering, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100435696","display_name":"Qiang Chen","orcid":"https://orcid.org/0000-0003-1410-1278"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Chen","raw_affiliation_strings":["College of Mining Engineering, Taiyuan University of Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"College of Mining Engineering, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111084519","display_name":"Siyu Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyu Cui","raw_affiliation_strings":["College of Mining Engineering, Taiyuan University of Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"College of Mining Engineering, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5048438493"],"corresponding_institution_ids":["https://openalex.org/I9086337"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.8728,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79478794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"11","issue":null,"first_page":"136978","last_page":"136987"},"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":0.9975000023841858,"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":0.9936000108718872,"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/microseism","display_name":"Microseism","score":0.9208890199661255},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6953980326652527},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6782771944999695},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5384656190872192},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.507682204246521},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4561362564563751},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45538875460624695},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.451386034488678},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4323779344558716},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3651891350746155},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33734041452407837},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1485445201396942},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.1160484254360199}],"concepts":[{"id":"https://openalex.org/C7266685","wikidata":"https://www.wikidata.org/wiki/Q1303250","display_name":"Microseism","level":2,"score":0.9208890199661255},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6953980326652527},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6782771944999695},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5384656190872192},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.507682204246521},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4561362564563751},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45538875460624695},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.451386034488678},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4323779344558716},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3651891350746155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33734041452407837},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1485445201396942},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.1160484254360199},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3338628","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3338628","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:892448f1f74a43afafaa8babce62334f","is_oa":true,"landing_page_url":"https://doaj.org/article/892448f1f74a43afafaa8babce62334f","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":"IEEE Access, Vol 11, Pp 136978-136987 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3338628","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3338628","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1971693734","https://openalex.org/W2055798239","https://openalex.org/W2056377009","https://openalex.org/W2057089484","https://openalex.org/W2057178057","https://openalex.org/W2063388653","https://openalex.org/W2102372511","https://openalex.org/W2142635246","https://openalex.org/W2182747765","https://openalex.org/W2336215657","https://openalex.org/W2644262029","https://openalex.org/W2754169345","https://openalex.org/W2758816065","https://openalex.org/W2767292437","https://openalex.org/W2775320029","https://openalex.org/W2884582435","https://openalex.org/W2888525203","https://openalex.org/W2899651173","https://openalex.org/W2940376342","https://openalex.org/W3090377106","https://openalex.org/W3102755745","https://openalex.org/W3148020013"],"related_works":["https://openalex.org/W4211018995","https://openalex.org/W2126967451","https://openalex.org/W2031302457","https://openalex.org/W2144325169","https://openalex.org/W2065755596","https://openalex.org/W4394774899","https://openalex.org/W2365313582","https://openalex.org/W2026548759","https://openalex.org/W3150551298","https://openalex.org/W2077021924"],"abstract_inverted_index":{"Microseismic":[0],"arrival":[1,79,194],"time":[2,43,80,195],"picking":[3,144],"serves":[4],"as":[5,25,36,102,136,138],"the":[6,17,87,91,105,112,119,165],"foundation":[7],"for":[8,77,104,167,188],"microseismic":[9,20,78,116,130,145,178,193],"source":[10],"localization":[11],"and":[12,30,94,142,156,174,191],"holds":[13],"significant":[14],"importance":[15],"in":[16,56,159,176],"field":[18],"of":[19,42,115],"monitoring.":[21],"Traditional":[22],"methods,":[23,150],"such":[24],"Short-Time":[26],"Average/Long-Time":[27],"Average":[28],"(STA/LTA)":[29],"clustering":[31,69,107],"methods":[32],"based":[33,71],"on":[34,72],"STA/LTA":[35],"feature":[37],"vectors,":[38],"require":[39],"manual":[40,168],"adjustments":[41],"window":[44],"parameters":[45],"to":[46,54,61,129,148],"achieve":[47],"accurate":[48],"picking.":[49,81],"Furthermore,":[50],"they":[51],"are":[52],"susceptible":[53],"inaccuracies":[55],"high-background":[57],"noise":[58],"environments.In":[59],"response":[60],"these":[62],"challenges,":[63],"this":[64,122],"paper":[65],"introduces":[66],"a":[67,181,185],"fuzzy":[68,106],"algorithm":[70],"Continuous":[73],"Wavelet":[74],"Transform":[75],"(CWT-FCM)":[76],"This":[82],"method":[83,126],"begins":[84],"by":[85],"transforming":[86],"raw":[88],"data":[89],"into":[90],"wavelet":[92],"domain":[93],"selects":[95],"scales":[96],"with":[97,132],"relatively":[98],"large":[99],"standard":[100],"deviations":[101],"input":[103],"process.":[108],"Ultimately,":[109],"it":[110,163,183],"identifies":[111],"initial":[113],"arrivals":[114],"events":[117],"within":[118],"resulting":[120],"clusters.In":[121],"study,":[123],"our":[124,151],"proposed":[125],"is":[127],"applied":[128],"datasets":[131],"low":[133],"signal-to-noise":[134],"ratios":[135],"well":[137],"real":[139],"data,":[140],"successfully":[141],"accurately":[143],"arrivals.":[146],"Compared":[147],"traditional":[149],"approach":[152],"demonstrates":[153],"increased":[154],"robustness":[155],"practical":[157],"value":[158],"high-interference":[160],"scenarios.":[161],"Notably,":[162],"eliminates":[164],"need":[166],"parameter":[169],"adjustments,":[170],"thereby":[171],"enhancing":[172],"efficiency":[173],"precision":[175],"automated":[177],"signal":[179],"picking.As":[180],"result,":[182],"establishes":[184],"foundational":[186],"dataset":[187],"subsequent":[189],"automatic":[190],"high-precision":[192],"localization.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
