{"id":"https://openalex.org/W2043211110","doi":"https://doi.org/10.1109/ukci.2013.6651308","title":"Wavelet neural network approach applied to biomechanics of swimming","display_name":"Wavelet neural network approach applied to biomechanics of swimming","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2043211110","doi":"https://doi.org/10.1109/ukci.2013.6651308","mag":"2043211110"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ukci.2013.6651308","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5024177659","display_name":"Weslly Puchalski","orcid":null},"institutions":[{"id":"https://openalex.org/I176838256","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1","ror":"https://ror.org/02x1vjk79","country_code":"BR","type":"education","lineage":["https://openalex.org/I176838256"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Weslly Puchalski","raw_affiliation_strings":["Ind. & Syst. Eng. Grad. Program PPGEPS, Pontifical Catholic Univ. of Parana, Curitiba, Brazil"],"affiliations":[{"raw_affiliation_string":"Ind. & Syst. Eng. Grad. Program PPGEPS, Pontifical Catholic Univ. of Parana, Curitiba, Brazil","institution_ids":["https://openalex.org/I176838256"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044574416","display_name":"Viviana Cocco Mariani","orcid":"https://orcid.org/0000-0003-2490-4568"},"institutions":[{"id":"https://openalex.org/I52418104","display_name":"Universidade Federal do Paran\u00e1","ror":"https://ror.org/05syd6y78","country_code":"BR","type":"education","lineage":["https://openalex.org/I52418104"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Viviana Cocco Mariani","raw_affiliation_strings":["Dept. of Mech. Eng. PPGEM, Fed. Univ. of Parana, Curitiba, Brazil"],"affiliations":[{"raw_affiliation_string":"Dept. of Mech. Eng. PPGEM, Fed. Univ. of Parana, Curitiba, Brazil","institution_ids":["https://openalex.org/I52418104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5096920953","display_name":"Felipe Fidelis Schauenburg","orcid":null},"institutions":[{"id":"https://openalex.org/I176838256","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1","ror":"https://ror.org/02x1vjk79","country_code":"BR","type":"education","lineage":["https://openalex.org/I176838256"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Felipe Fidelis Schauenburg","raw_affiliation_strings":["Ind. & Syst. Eng. Grad. Program PPGEPS, Pontifical Catholic Univ. of Parana, Curitiba, Brazil"],"affiliations":[{"raw_affiliation_string":"Ind. & Syst. Eng. Grad. Program PPGEPS, Pontifical Catholic Univ. of Parana, Curitiba, Brazil","institution_ids":["https://openalex.org/I176838256"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006394687","display_name":"Leandro dos Santos Coelho","orcid":"https://orcid.org/0000-0001-5728-943X"},"institutions":[{"id":"https://openalex.org/I52418104","display_name":"Universidade Federal do Paran\u00e1","ror":"https://ror.org/05syd6y78","country_code":"BR","type":"education","lineage":["https://openalex.org/I52418104"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Leandro dos Santos Coelho","raw_affiliation_strings":["Dept. of Electr. Eng., Fed. Univ. of Parana, Curitiba, Brazil"],"affiliations":[{"raw_affiliation_string":"Dept. of Electr. Eng., Fed. Univ. of Parana, Curitiba, Brazil","institution_ids":["https://openalex.org/I52418104"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.161,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":2,"citation_normalized_percentile":{"value":0.334168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":72,"max":76},"biblio":{"volume":null,"issue":null,"first_page":"214","last_page":"220"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9942,"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/T10320","display_name":"Neural Networks and Applications","score":0.9942,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9397,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9158,"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/feedforward-neural-network","display_name":"Feedforward neural network","score":0.6568496},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.5676396}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7358901},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.6568496},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.60719424},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5967189},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.57504344},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.5676396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.50037956},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.48762742},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34177515},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.2091848},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18305579},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ukci.2013.6651308","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.62,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":28,"referenced_works":["https://openalex.org/W1845831789","https://openalex.org/W1963861200","https://openalex.org/W1965300492","https://openalex.org/W1980418485","https://openalex.org/W1982968041","https://openalex.org/W1993871237","https://openalex.org/W1996590382","https://openalex.org/W1999084173","https://openalex.org/W2006447203","https://openalex.org/W2007572738","https://openalex.org/W2028070629","https://openalex.org/W2029866446","https://openalex.org/W2030826599","https://openalex.org/W2040429336","https://openalex.org/W2045537522","https://openalex.org/W2061555390","https://openalex.org/W2071303648","https://openalex.org/W2099272284","https://openalex.org/W2104176208","https://openalex.org/W2110435534","https://openalex.org/W2126571312","https://openalex.org/W2148246322","https://openalex.org/W2155454361","https://openalex.org/W2156036859","https://openalex.org/W2204178050","https://openalex.org/W2293747114","https://openalex.org/W2561653801","https://openalex.org/W3165001235"],"related_works":["https://openalex.org/W4390752998","https://openalex.org/W4311212821","https://openalex.org/W2378845890","https://openalex.org/W2357447513","https://openalex.org/W2158578859","https://openalex.org/W2115072676","https://openalex.org/W2102065768","https://openalex.org/W2077021924","https://openalex.org/W2045727192","https://openalex.org/W1529660427"],"abstract_inverted_index":{"An":[0],"artificial":[1,11],"neural":[2,69,99],"network":[3],"(ANN)":[4],"consists":[5],"of":[6,9,29,51,60,121,198],"a":[7,43,115,131],"number":[8],"interconnecting":[10],"neurons":[12],"and":[13,32,114,194],"employs":[14],"mathematical":[15],"or":[16,72],"computational":[17],"models":[18],"for":[19,25,46,83],"information":[20],"processing.":[21],"ANNs":[22,61,82],"are":[23,75,95],"suitable":[24],"handling":[26],"large":[27],"amounts":[28],"dynamic,":[30],"noisy":[31],"nonlinear":[33,86],"data.":[34],"On":[35],"the":[36,39,52,57,111,127,139,147,188,192,196],"other":[37],"hand,":[38],"wavelet":[40,53,68],"theory":[41,55],"provides":[42],"multi-resolution":[44],"approximation":[45],"discriminate":[47],"functions.":[48,87],"The":[49,119,135,161,172],"combination":[50],"transforms":[54],"with":[56,101],"basic":[58],"concept":[59],"leads":[62],"to":[63,80,125,129,182],"new":[64],"mapping":[65],"networks":[66,70,100],"called":[67,150],"(WNNs)":[71],"wavenets,":[73],"which":[74,152],"proposed":[76,173],"as":[77,107],"an":[78],"alternative":[79],"feedforward":[81],"approximating":[84],"arbitrary":[85],"Generalized":[88],"from":[89],"radial":[90,105],"basis":[91],"function":[92],"ANNs,":[93],"WNNs":[94,128],"in":[96,110,155,159,191],"fact":[97],"feed-forward":[98],"one":[102],"hidden":[103,112],"layer,":[104],"wavelets":[106],"activation":[108],"functions":[109],"nodes":[113],"linear":[116],"output":[117],"layer.":[118],"contribution":[120],"this":[122],"paper":[123],"is":[124],"evaluate":[126],"model":[130],"parathlete":[132,136],"swimmer":[133,137],"behavior.":[134],"swims":[138],"breaststroke":[140],"style":[141],"using":[142],"biomechanics":[143,189],"data":[144],"generated":[145],"by":[146,186],"software":[148],"tool":[149],"SWUMSUIT,":[151],"was":[153],"developed":[154],"Tokyo":[156],"Technological":[157],"Institute":[158],"Japan.":[160],"forecasted":[162],"results":[163],"clearly":[164],"show":[165],"that":[166],"WNN":[167,174],"has":[168],"good":[169],"prediction":[170],"properties.":[171],"modeling":[175],"approach":[176],"can":[177],"benefit":[178],"disabled":[179],"swimmers":[180],"(parathletes)":[181],"gain":[183],"competitive":[184],"advantage":[185],"studying":[187],"involved":[190],"sport":[193],"considering":[195],"help":[197],"simulations":[199],"systems.":[200]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2043211110","counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-01-17T22:26:06.673982","created_date":"2016-06-24"}