{"id":"https://openalex.org/W3183783247","doi":"https://doi.org/10.1155/2021/7955909","title":"Application of Multiacoustic Data in Feature Extraction of Anemometer","display_name":"Application of Multiacoustic Data in Feature Extraction of Anemometer","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3183783247","doi":"https://doi.org/10.1155/2021/7955909","mag":"3183783247"},"language":"en","primary_location":{"id":"doi:10.1155/2021/7955909","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2021/7955909","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/7955909.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2021/7955909.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100696779","display_name":"Dawei Chen","orcid":"https://orcid.org/0000-0002-4737-1146"},"institutions":[{"id":"https://openalex.org/I111971639","display_name":"Qiqihar University","ror":"https://ror.org/01khf5d59","country_code":"CN","type":"education","lineage":["https://openalex.org/I111971639"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dawei Chen","raw_affiliation_strings":["School of Music& Dance, Qiqihar University, Heilongjiang, Qiqihar 161000, China"],"affiliations":[{"raw_affiliation_string":"School of Music& Dance, Qiqihar University, Heilongjiang, Qiqihar 161000, China","institution_ids":["https://openalex.org/I111971639"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101677656","display_name":"Xu Guo","orcid":"https://orcid.org/0000-0002-9516-7713"},"institutions":[{"id":"https://openalex.org/I111971639","display_name":"Qiqihar University","ror":"https://ror.org/01khf5d59","country_code":"CN","type":"education","lineage":["https://openalex.org/I111971639"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xu Guo","raw_affiliation_strings":["School of Music& Dance, Qiqihar University, Heilongjiang, Qiqihar 161000, China"],"affiliations":[{"raw_affiliation_string":"School of Music& Dance, Qiqihar University, Heilongjiang, Qiqihar 161000, China","institution_ids":["https://openalex.org/I111971639"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101677656"],"corresponding_institution_ids":["https://openalex.org/I111971639"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":0.1543,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43412253,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2021","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9979000091552734,"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/T13996","display_name":"Diverse Musicological Studies","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/1210","display_name":"Music"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11349","display_name":"Music Technology and Sound Studies","score":0.9455999732017517,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7088715434074402},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6147611141204834},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5428164005279541},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5136427283287048},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5000066757202148},{"id":"https://openalex.org/keywords/deep-belief-network","display_name":"Deep belief network","score":0.49224796891212463},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48830699920654297},{"id":"https://openalex.org/keywords/anemometer","display_name":"Anemometer","score":0.48208552598953247},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33929550647735596},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2730485796928406},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.23825132846832275},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11703845858573914}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7088715434074402},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6147611141204834},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5428164005279541},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5136427283287048},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5000066757202148},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.49224796891212463},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48830699920654297},{"id":"https://openalex.org/C127882809","wikidata":"https://www.wikidata.org/wiki/Q175029","display_name":"Anemometer","level":3,"score":0.48208552598953247},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33929550647735596},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2730485796928406},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.23825132846832275},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11703845858573914},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1155/2021/7955909","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2021/7955909","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/7955909.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:complx:7955909","is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/complexity/2021/7955909.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:20777a7bbfad4d20b1bbbd9c73a80e6d","is_oa":true,"landing_page_url":"https://doaj.org/article/20777a7bbfad4d20b1bbbd9c73a80e6d","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complexity, Vol 2021 (2021)","raw_type":"article"},{"id":"pmh:oai:hindawi.com:10.1155/2021/7955909","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/7955909","pdf_url":null,"source":{"id":"https://openalex.org/S4306400340","display_name":"Hindawi Journal of Chemistry (Hindawi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210126990","host_organization_name":"Hindawi (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210126990"],"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":"","raw_type":"Research Article"}],"best_oa_location":{"id":"doi:10.1155/2021/7955909","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2021/7955909","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/7955909.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3183783247.pdf","grobid_xml":"https://content.openalex.org/works/W3183783247.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W2783748519","https://openalex.org/W2785236517","https://openalex.org/W2785722638","https://openalex.org/W2790971290","https://openalex.org/W2793786579","https://openalex.org/W2802789529","https://openalex.org/W2888119354","https://openalex.org/W2898204262","https://openalex.org/W2919411332","https://openalex.org/W2945437630","https://openalex.org/W2946729987","https://openalex.org/W2949670168","https://openalex.org/W2977076818","https://openalex.org/W2981296444","https://openalex.org/W2985565979","https://openalex.org/W2988614379","https://openalex.org/W2989022549","https://openalex.org/W3004450531","https://openalex.org/W3017590234","https://openalex.org/W3087847224","https://openalex.org/W3105939760","https://openalex.org/W3107327864","https://openalex.org/W3107700952","https://openalex.org/W4248350653"],"related_works":["https://openalex.org/W2074347498","https://openalex.org/W2368854349","https://openalex.org/W1607178217","https://openalex.org/W29298731","https://openalex.org/W4234426028","https://openalex.org/W3095401600","https://openalex.org/W2695475798","https://openalex.org/W2091029298","https://openalex.org/W4312359306","https://openalex.org/W2085938944"],"abstract_inverted_index":{"The":[0,75,103],"acoustic":[1,35,52,56,67],"characteristics":[2],"of":[3,13,22,82,93,114,138],"wind":[4,23,70,142],"instruments":[5],"are":[6,73],"a":[7],"major":[8],"feature":[9,26,59,145],"in":[10,100,141],"the":[11,19,34,39,61,80,83,90,94,101,112,118,126,136],"field":[12],"vocal":[14],"music.":[15],"This":[16],"paper":[17],"studies":[18],"application":[20],"effect":[21],"power":[24,143],"instrument":[25,72,127,144],"extraction":[27,146],"based":[28,42],"on":[29,43],"multiacoustic":[30,139],"data.":[31,53],"Combined":[32],"with":[33,130],"data":[36,57,68,140],"training":[37],"model,":[38],"classification":[40,85,98,122],"algorithm":[41,86,99,123],"deep":[44,95,119],"trust":[45],"network":[46,84,97,121],"is":[47,108,133,147],"used":[48,109],"to":[49,110],"process":[50],"multiple":[51,55,66],"Using":[54],"for":[58,124],"extraction,":[60],"recognition":[62,128],"and":[63,69],"matching":[64],"between":[65],"measuring":[71],"realized.":[74],"experiment":[76],"not":[77],"only":[78],"evaluates":[79],"error":[81],"but":[87],"also":[88],"describes":[89],"evaluation":[91,106,115],"function":[92],"belief":[96,120],"system.":[102],"traditional":[104],"SNR":[105],"method":[107,129],"improve":[111],"deficiency":[113],"function.":[116],"Through":[117],"self\u2010learning,":[125],"strong":[131],"applicability":[132],"established.":[134],"Finally,":[135],"effectiveness":[137],"verified.":[148]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}