{"id":"https://openalex.org/W4410029123","doi":"https://doi.org/10.1177/14727978251337999","title":"The application of artificial intelligence in the revitalization of intangible cultural heritage helps the cultural industry succeed","display_name":"The application of artificial intelligence in the revitalization of intangible cultural heritage helps the cultural industry succeed","publication_year":2025,"publication_date":"2025-05-02","ids":{"openalex":"https://openalex.org/W4410029123","doi":"https://doi.org/10.1177/14727978251337999"},"language":"en","primary_location":{"id":"doi:10.1177/14727978251337999","is_oa":false,"landing_page_url":"https://doi.org/10.1177/14727978251337999","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"},"type":"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/A5102144960","display_name":"Qingxiang Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I106079672","display_name":"Hebei University of Engineering","ror":"https://ror.org/036h65h05","country_code":"CN","type":"education","lineage":["https://openalex.org/I106079672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qingxiang Zhu","raw_affiliation_strings":["School of Architecture and Art, Hebei University of Engineering, Handan, China"],"affiliations":[{"raw_affiliation_string":"School of Architecture and Art, Hebei University of Engineering, Handan, China","institution_ids":["https://openalex.org/I106079672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100765464","display_name":"Xiaobin Liu","orcid":"https://orcid.org/0000-0001-5395-4420"},"institutions":[{"id":"https://openalex.org/I4210153482","display_name":"Changzhou University","ror":"https://ror.org/04ymgwq66","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153482"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobin Liu","raw_affiliation_strings":["School of Art and Design, ChangZhou University, Changzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Art and Design, ChangZhou University, Changzhou, China","institution_ids":["https://openalex.org/I4210153482"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102144960"],"corresponding_institution_ids":["https://openalex.org/I106079672"],"apc_list":null,"apc_paid":null,"fwci":12.734,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.97730294,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"25","issue":"5","first_page":"4566","last_page":"4580"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12981","display_name":"Conservation Techniques and Studies","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1206","display_name":"Conservation"},"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/T12981","display_name":"Conservation Techniques and Studies","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1206","display_name":"Conservation"},"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/T11846","display_name":"Cultural Heritage Management and Preservation","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology"},"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"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/mean-squared-error","display_name":"Mean squared error","score":0.6373876929283142},{"id":"https://openalex.org/keywords/cultural-heritage","display_name":"Cultural heritage","score":0.5499623417854309},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5387440919876099},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5270640850067139},{"id":"https://openalex.org/keywords/intangible-cultural-heritage","display_name":"Intangible cultural heritage","score":0.5144593715667725},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.430037260055542},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4136980473995209},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40515637397766113},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3288486897945404},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2272336483001709},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15401023626327515},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.13902470469474792},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.11089760065078735}],"concepts":[{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6373876929283142},{"id":"https://openalex.org/C60671577","wikidata":"https://www.wikidata.org/wiki/Q210272","display_name":"Cultural heritage","level":2,"score":0.5499623417854309},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5387440919876099},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5270640850067139},{"id":"https://openalex.org/C2779460620","wikidata":"https://www.wikidata.org/wiki/Q59544","display_name":"Intangible cultural heritage","level":3,"score":0.5144593715667725},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.430037260055542},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4136980473995209},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40515637397766113},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3288486897945404},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2272336483001709},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15401023626327515},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.13902470469474792},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.11089760065078735}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/14727978251337999","is_oa":false,"landing_page_url":"https://doi.org/10.1177/14727978251337999","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W4388592018","https://openalex.org/W4391361246","https://openalex.org/W4391542034","https://openalex.org/W4391615698","https://openalex.org/W4392662760","https://openalex.org/W4396599036","https://openalex.org/W4396898429","https://openalex.org/W4399043317","https://openalex.org/W4399432460","https://openalex.org/W4399893900","https://openalex.org/W4400444513","https://openalex.org/W4401068237","https://openalex.org/W4401748097","https://openalex.org/W4401977398","https://openalex.org/W4402441598","https://openalex.org/W4402676995","https://openalex.org/W4402726184","https://openalex.org/W4403045829","https://openalex.org/W4403599079","https://openalex.org/W4403838717","https://openalex.org/W4404325855","https://openalex.org/W4404376193","https://openalex.org/W4404590452","https://openalex.org/W4404592756","https://openalex.org/W4405283287","https://openalex.org/W4405283609","https://openalex.org/W4405838343"],"related_works":["https://openalex.org/W2373280372","https://openalex.org/W2989490741","https://openalex.org/W2387753157","https://openalex.org/W2393467990","https://openalex.org/W2942426836","https://openalex.org/W2366037971","https://openalex.org/W4389703293","https://openalex.org/W2381515947","https://openalex.org/W2382865229","https://openalex.org/W1992406500"],"abstract_inverted_index":{"The":[0,29,115,167],"integration":[1,116],"of":[2,25,31,60,78,101,117,133,140,144,148,152,161,169,215],"artificial":[3],"intelligence":[4],"(AI)":[5],"in":[6,122,181,191],"revitalizing":[7],"intangible":[8,193],"cultural":[9,27,63,79,194,217],"heritage":[10],"(ICH)":[11],"necessitates":[12],"solutions":[13],"to":[14,22,35,53,94,178,212],"enhance":[15,54],"participation":[16],"and":[17,44,58,66,91,119,154,205,225],"preserve":[18],"culture,":[19],"thereby":[20],"contributing":[21],"the":[23,26,55,98,104,123,174,198,213,216],"growth":[24,65,214],"industry.":[28],"objective":[30],"this":[32],"research":[33],"is":[34],"design":[36],"an":[37,41,146,150,188,220],"AI-driven":[38,209],"model":[39,126],"utilizing":[40],"Adaptive":[42],"Donkey":[43],"Smuggler":[45],"Algorithm-mutated":[46],"Malleable":[47],"Long":[48],"Short-Term":[49],"Memory":[50],"(ADS-MLSTM)":[51],"network":[52],"recognition,":[56],"preservation,":[57],"revitalization":[59],"ICH,":[61],"supporting":[62],"industry":[64],"sustainability.":[67],"Data":[68],"were":[69,112],"collected":[70,82],"from":[71],"multiple":[72],"ICH":[73,184,203],"archives,":[74],"including":[75],"digital":[76],"representations":[77,100],"heritage.":[80,227],"This":[81],"data":[83,92],"underwent":[84],"preprocessing":[85],"steps":[86],"such":[87],"as":[88],"noise":[89],"reduction":[90],"cleaning":[93],"ensure":[95],"robustness":[96],"against":[97],"diverse":[99,183],"ICH.":[102],"Utilizing":[103],"Term":[105],"Frequency-Inverse":[106],"Document":[107],"Frequency":[108],"(TF-IDF)":[109],"method,":[110],"features":[111],"extracted":[113],"efficiently.":[114],"ADS":[118],"MLSTM":[120],"algorithms":[121],"proposed":[124],"ADS-MLSTM":[125,199],"demonstrates":[127],"superior":[128],"performance,":[129],"achieving":[130],"a":[131,135,142,155],"precision":[132],"98.70%,":[134],"mean":[136,157],"squared":[137,158],"error":[138,159],"(MSE)":[139],"0.73,":[141],"recall":[143],"98.27%,":[145],"F1-score":[147],"98.80%,":[149],"accuracy":[151],"99%,":[153],"root":[156],"(RMSE)":[160],"0.57,":[162],"further":[163],"highlighting":[164],"its":[165],"effectiveness.":[166],"incorporation":[168],"deep":[170],"learning":[171],"significantly":[172],"enhanced":[173],"model\u2019s":[175],"effectiveness,":[176],"leading":[177],"better":[179],"results":[180],"recognizing":[182],"elements.":[185],"AI":[186],"plays":[187],"essential":[189],"role":[190],"recovering":[192],"assets,":[195],"particularly":[196],"through":[197],"model.":[200],"By":[201],"improving":[202],"recognition":[204],"fostering":[206],"user":[207],"interaction,":[208],"approaches":[210],"contribute":[211],"industry,":[218],"offering":[219],"innovative":[221],"solution":[222],"for":[223],"preserving":[224],"promoting":[226]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}
