{"id":"https://openalex.org/W4282019068","doi":"https://doi.org/10.1155/2022/1904158","title":"Garment Design Models Combining Bayesian Classifier and Decision Tree Algorithm","display_name":"Garment Design Models Combining Bayesian Classifier and Decision Tree Algorithm","publication_year":2022,"publication_date":"2022-05-27","ids":{"openalex":"https://openalex.org/W4282019068","doi":"https://doi.org/10.1155/2022/1904158","pmid":"https://pubmed.ncbi.nlm.nih.gov/35669635","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/9167022"},"language":"en","primary_location":{"id":"doi:10.1155/2022/1904158","doi":"https://doi.org/10.1155/2022/1904158","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/1904158","pdf_url":"https://downloads.hindawi.com/journals/cin/2022/1904158.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cin/2022/1904158.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062718889","display_name":"Xiaoyu Yan","orcid":"https://orcid.org/0000-0002-2885-9787","observed_orcids":["https://orcid.org/0000-0002-2885-9787"]},"institutions":[{"id":"https://openalex.org/I4405280982","display_name":"Hebei Institute of Communications","ror":"https://ror.org/03pyfvg53","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405280982"]},{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["CN","MY"],"is_corresponding":false,"raw_author_name":"Xiaoyu Yan","raw_affiliation_strings":["College of Fine Arts and Design, Hebei Institute of Communications, ShiJiazhuang 050000, China","Faculty of Art & Design, Universiti Teknologi, Mara 40450, Shah Alam, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-2885-9787","affiliations":[{"raw_affiliation_string":"College of Fine Arts and Design, Hebei Institute of Communications, ShiJiazhuang 050000, China","institution_ids":["https://openalex.org/I4405280982"]},{"raw_affiliation_string":"Faculty of Art & Design, Universiti Teknologi, Mara 40450, Shah Alam, Malaysia","institution_ids":["https://openalex.org/I82724352"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003060156","display_name":"Shuo Ma","orcid":"https://orcid.org/0000-0003-1632-0474","observed_orcids":["https://orcid.org/0000-0003-1632-0474"]},"institutions":[{"id":"https://openalex.org/I4405280982","display_name":"Hebei Institute of Communications","ror":"https://ror.org/03pyfvg53","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405280982"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuo Ma","raw_affiliation_strings":["College of Fine Arts and Design, Hebei Institute of Communications, ShiJiazhuang 050000, China"],"raw_orcid":"https://orcid.org/0000-0003-1632-0474","affiliations":[{"raw_affiliation_string":"College of Fine Arts and Design, Hebei Institute of Communications, ShiJiazhuang 050000, China","institution_ids":["https://openalex.org/I4405280982"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5003060156"],"corresponding_institution_ids":["https://openalex.org/I4405280982"],"apc_list":{"value":2550,"currency":"USD","value_usd":2550},"apc_paid":{"value":2550,"currency":"USD","value_usd":2550},"fwci":24.1118,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.99316426,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2022","issue":null,"first_page":"1","last_page":"8"},"is_retracted":true,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12514","display_name":"Fashion and Cultural Textiles","score":0.3230000138282776,"subfield":{"id":"https://openalex.org/subfields/1209","display_name":"Museology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12514","display_name":"Fashion and Cultural Textiles","score":0.3230000138282776,"subfield":{"id":"https://openalex.org/subfields/1209","display_name":"Museology"},"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/T13413","display_name":"Cultural and Historical Studies","score":0.2667999863624573,"subfield":{"id":"https://openalex.org/subfields/1213","display_name":"Visual Arts and Performing Arts"},"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.0892999991774559,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/clothing-design","display_name":"clothing design","score":0.9490000009536743},{"id":"https://openalex.org/keywords/bayesian-classifier","display_name":"Bayesian classifier","score":0.7870000004768372},{"id":"https://openalex.org/keywords/decision-tree","display_name":"decision tree","score":0.9089999794960022},{"id":"https://openalex.org/keywords/smart-manufacturing","display_name":"smart manufacturing","score":0.6039999723434448},{"id":"https://openalex.org/keywords/garment-industry","display_name":"apparel industry","score":0.7770000100135803},{"id":"https://openalex.org/keywords/expert-systems","display_name":"expert systems","score":0.4790000021457672}],"concepts":[{"id":"https://openalex.org/C530175646","wikidata":"https://www.wikidata.org/wiki/Q11460","display_name":"Clothing","level":2,"score":0.7775839567184448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5967629551887512},{"id":"https://openalex.org/C2779611367","wikidata":"https://www.wikidata.org/wiki/Q3231404","display_name":"Fast fashion","level":3,"score":0.48345860838890076},{"id":"https://openalex.org/C120823896","wikidata":"https://www.wikidata.org/wiki/Q1043226","display_name":"Product design","level":3,"score":0.46122342348098755},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.4363637864589691},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.38912662863731384},{"id":"https://openalex.org/C117671659","wikidata":"https://www.wikidata.org/wiki/Q11049265","display_name":"Manufacturing engineering","level":1,"score":0.3783346116542816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3476692736148834},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3336866497993469},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25469285249710083},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003020","descriptor_name":"Clothing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003663","descriptor_name":"Decision Trees","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1155/2022/1904158","doi":"https://doi.org/10.1155/2022/1904158","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/1904158","pdf_url":"https://downloads.hindawi.com/journals/cin/2022/1904158.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9167022","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9167022","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Comput Intell Neurosci","raw_type":"Text"},{"id":"pmid:35669635","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35669635","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational intelligence and neuroscience","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1155/2022/1904158","doi":"https://doi.org/10.1155/2022/1904158","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/1904158","pdf_url":"https://downloads.hindawi.com/journals/cin/2022/1904158.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4282019068.pdf","grobid_xml":"https://content.openalex.org/works/W4282019068.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1654255044","https://openalex.org/W2507349676","https://openalex.org/W2606667457","https://openalex.org/W2611406758","https://openalex.org/W2732345723","https://openalex.org/W2765093707","https://openalex.org/W2776111485","https://openalex.org/W2898799606","https://openalex.org/W2901569153","https://openalex.org/W2955639607","https://openalex.org/W2966175012","https://openalex.org/W2980500585","https://openalex.org/W2999975080","https://openalex.org/W3006569818","https://openalex.org/W3010665304","https://openalex.org/W3015039097","https://openalex.org/W3036247427","https://openalex.org/W3044420394","https://openalex.org/W3049488029","https://openalex.org/W3092163169","https://openalex.org/W3112717615","https://openalex.org/W3156154013","https://openalex.org/W3157566729","https://openalex.org/W3168423733","https://openalex.org/W3169174191","https://openalex.org/W4200258695","https://openalex.org/W4210981355","https://openalex.org/W4220709929","https://openalex.org/W4226277040","https://openalex.org/W4251065096"],"related_works":["https://openalex.org/W3212701967","https://openalex.org/W3092307074","https://openalex.org/W7096499829","https://openalex.org/W2164198115","https://openalex.org/W2385173884","https://openalex.org/W4391709661","https://openalex.org/W4387898969","https://openalex.org/W1999833399","https://openalex.org/W3175188593","https://openalex.org/W4391694708"],"abstract_inverted_index":{"With":[0,133,234],"the":[1,38,60,71,77,88,103,109,115,119,138,187,215,224,235,257,264,279,289,293,297,300,349,362,373,376,380,391,396,415,450,457],"rapid":[2,236,290],"economic":[3],"development":[4,164,237,291],"and":[5,16,23,37,57,63,80,86,129,148,162,240,247,281,296,318,326,342,348,385,418,446],"rising":[6],"consumption":[7],"levels":[8,365],"in":[9,19,76,227,231,253,263,314,322,338,356,379,399],"recent":[10],"years,":[11],"people":[12],"are":[13,250],"becoming":[14,48],"more":[15,17],"demanding":[18],"terms":[20,315,323,339],"of":[21,25,59,70,73,102,118,189,195,218,223,238,259,266,283,292,299,302,316,324,330,336,340,353,375,382,395,453,460],"style":[22,98,101,341],"fashion":[24,294],"clothes.":[26],"As":[27,203],"a":[28,49,81,96,130,167,181,204,333,409],"result,":[29,205],"customer":[30],"demand":[31,305],"for":[32,52,306],"personalised":[33],"clothing":[34,53,92,307,331,358],"is":[35,46,66,165,221,269,275],"increasing":[36,186],"need":[39],"to":[40,43,84,144,153,180,199,207,278,320,389,401,422,430,441,448],"respond":[41,179],"quickly":[42,445],"consumer":[44],"demands":[45],"also":[47,113],"competitive":[50],"issue":[51],"companies.":[54],"The":[55,100,328,344],"automation":[56],"intelligence":[58],"garment":[61,78,89,104,124,210,219,232,267,284,377,410,432,443,461],"design":[62,125,161,268,285,346,364,393,411,433],"production":[64,201],"process":[65,347,381],"an":[67,155],"important":[68,225],"part":[69],"implementation":[72],"intelligent":[74,229],"manufacturing":[75,230],"industry":[79,295],"necessary":[82],"way":[83],"transform":[85],"upgrade":[87],"industry.":[90],"Successful":[91],"styles":[93,136],"always":[94],"have":[95,360],"distinct":[97],"identity.":[99],"can":[105,177,427,437],"not":[106,150,271,371],"only":[107,127,141,178],"conveys":[108],"designer's":[110],"vision":[111],"but":[112],"express":[114],"emotional":[116],"needs":[117,452],"consumer.":[120],"In":[121,158],"contrast,":[122],"traditional":[123,357],"involves":[126],"designers":[128,220,440],"single":[131],"style.":[132],"so":[134],"many":[135],"available,":[137],"user":[139],"has":[140,149,308],"been":[142,151],"able":[143,152],"combine":[145],"them":[146],"repeatedly":[147],"create":[154],"innovative":[156],"design.":[157],"addition,":[159],"apparel":[160,175],"product":[163],"still":[166,270],"highly":[168],"empirical":[169,216],"task.":[170],"To":[171],"be":[172,428],"specific,":[173],"most":[174],"companies":[176],"rapidly":[182],"changing":[183],"market":[184,458],"by":[185],"number":[188],"designers.":[190],"However,":[191],"this":[192,406],"blind":[193],"expansion":[194],"staff":[196],"inevitably":[197],"leads":[198],"increased":[200],"costs.":[202],"how":[206,424],"effectively":[208],"develop":[209,442],"products":[211,444],"without":[212],"relying":[213],"on":[214,414],"knowledge":[217],"one":[222],"issues":[226],"achieving":[228],"enterprises.":[233,462],"computer":[239,425],"network":[241],"technologies,":[242],"artificial":[243],"intelligence,":[244],"machine":[245],"learning,":[246],"expert":[248],"systems":[249],"widely":[251],"used":[252],"various":[254],"industries.":[255],"Nevertheless,":[256],"application":[258],"these":[260,403],"advanced":[261],"technologies":[262,426],"field":[265],"deep":[272],"enough.":[273],"This":[274,369,435],"mainly":[276],"due":[277],"uncertainty":[280],"imprecision":[282],"knowledge.":[286,434],"Also,":[287],"with":[288],"arrival":[298],"trend":[301],"personalisation,":[303],"people's":[304],"gradually":[309],"shifted":[310],"from":[311,366],"mass":[312],"appeal":[313],"comfort":[317],"aesthetics":[319],"personalisation":[321,329],"self-polishing":[325],"temperament.":[327],"encompasses":[332],"wide":[334],"range":[335],"preferences":[337],"fit.":[343],"bottom-up":[345],"relatively":[350],"independent":[351],"setup":[352],"functional":[354],"modules":[355],"technology":[359],"prevented":[361],"different":[363],"being":[367],"interlinked.":[368],"does":[370],"reflect":[372],"composition":[374],"elements":[378],"forming":[383],"features":[384],"makes":[386],"it":[387],"difficult":[388],"grasp":[390],"overall":[392],"state":[394],"garment.":[397],"Therefore,":[398],"order":[400],"address":[402],"above":[404],"issues,":[405],"paper":[407],"proposes":[408],"model":[412,431,436],"based":[413],"Bayesian":[416],"classifier":[417],"decision":[419],"tree":[420],"algorithm":[421],"investigate":[423],"applied":[429],"enable":[438],"inexperienced":[439],"efficiently":[447],"meet":[449],"customisation":[451],"customers,":[454],"thus":[455],"enhancing":[456],"competitiveness":[459]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-10-31T12:09:11.096373","created_date":"2022-06-13T00:00:00"}