{"id":"https://openalex.org/W4321498625","doi":"https://doi.org/10.1142/s1469026823500037","title":"An Automatic Recognition System for Digital Collections of Indonesian Traditional Houses Using Convolutional Neural Networks for Cultural Heritage Preservation","display_name":"An Automatic Recognition System for Digital Collections of Indonesian Traditional Houses Using Convolutional Neural Networks for Cultural Heritage Preservation","publication_year":2023,"publication_date":"2023-02-21","ids":{"openalex":"https://openalex.org/W4321498625","doi":"https://doi.org/10.1142/s1469026823500037"},"language":"en","primary_location":{"id":"doi:10.1142/s1469026823500037","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1469026823500037","pdf_url":null,"source":{"id":"https://openalex.org/S206936884","display_name":"International Journal of Computational Intelligence and Applications","issn_l":"1469-0268","issn":["1469-0268","1757-5885"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence and Applications","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/A5019553904","display_name":"Teny Handhayani","orcid":"https://orcid.org/0000-0001-7315-9299"},"institutions":[{"id":"https://openalex.org/I1102219","display_name":"Tarumanagara University","ror":"https://ror.org/04r0rbk24","country_code":"ID","type":"education","lineage":["https://openalex.org/I1102219"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Teny Handhayani","raw_affiliation_strings":["Fakultas Teknologi Informasi, Universitas Tarumanagara, Gedung R Lantai 11, Jl. Letjen S.\u00a0Parman No. 1 Jakarta Barat 11440, Indonesia"],"affiliations":[{"raw_affiliation_string":"Fakultas Teknologi Informasi, Universitas Tarumanagara, Gedung R Lantai 11, Jl. Letjen S.\u00a0Parman No. 1 Jakarta Barat 11440, Indonesia","institution_ids":["https://openalex.org/I1102219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019500508","display_name":"Ageng Hadi Pawening","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ageng Hadi Pawening","raw_affiliation_strings":["Departemen IT, Kiriminaja, Yogyakarta, Indonesia"],"affiliations":[{"raw_affiliation_string":"Departemen IT, Kiriminaja, Yogyakarta, Indonesia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045002262","display_name":"Janson Hendryli","orcid":"https://orcid.org/0000-0003-3992-4211"},"institutions":[{"id":"https://openalex.org/I1102219","display_name":"Tarumanagara University","ror":"https://ror.org/04r0rbk24","country_code":"ID","type":"education","lineage":["https://openalex.org/I1102219"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Janson Hendryli","raw_affiliation_strings":["Fakultas Teknologi Informasi, Universitas Tarumanagara, Gedung R Lantai 11, Jl. Letjen S.\u00a0Parman No. 1 Jakarta Barat 11440, Indonesia"],"affiliations":[{"raw_affiliation_string":"Fakultas Teknologi Informasi, Universitas Tarumanagara, Gedung R Lantai 11, Jl. Letjen S.\u00a0Parman No. 1 Jakarta Barat 11440, Indonesia","institution_ids":["https://openalex.org/I1102219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019553904"],"corresponding_institution_ids":["https://openalex.org/I1102219"],"apc_list":null,"apc_paid":null,"fwci":0.3711,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5742213,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"22","issue":"02","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9927999973297119,"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"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9927999973297119,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9732000231742859,"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"}},{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9715999960899353,"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":0.8475916385650635},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7621798515319824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.643880307674408},{"id":"https://openalex.org/keywords/indonesian","display_name":"Indonesian","score":0.5838499665260315},{"id":"https://openalex.org/keywords/cultural-heritage","display_name":"Cultural heritage","score":0.550039529800415},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46197521686553955},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.434079647064209},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42958033084869385},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3801156282424927},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3681640923023224},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.06969437003135681},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06271174550056458}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8475916385650635},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7621798515319824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.643880307674408},{"id":"https://openalex.org/C2779207338","wikidata":"https://www.wikidata.org/wiki/Q9240","display_name":"Indonesian","level":2,"score":0.5838499665260315},{"id":"https://openalex.org/C60671577","wikidata":"https://www.wikidata.org/wiki/Q210272","display_name":"Cultural heritage","level":2,"score":0.550039529800415},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46197521686553955},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.434079647064209},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42958033084869385},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3801156282424927},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3681640923023224},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.06969437003135681},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06271174550056458},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s1469026823500037","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1469026823500037","pdf_url":null,"source":{"id":"https://openalex.org/S206936884","display_name":"International Journal of Computational Intelligence and Applications","issn_l":"1469-0268","issn":["1469-0268","1757-5885"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W2044465660","https://openalex.org/W2142827986","https://openalex.org/W2158698691","https://openalex.org/W2573791728","https://openalex.org/W2787178058","https://openalex.org/W2919115771","https://openalex.org/W2944533111","https://openalex.org/W2973960287","https://openalex.org/W2998019206"],"related_works":["https://openalex.org/W4312417841","https://openalex.org/W4321369474","https://openalex.org/W2731899572","https://openalex.org/W3133861977","https://openalex.org/W4200173597","https://openalex.org/W3116150086","https://openalex.org/W2999805992","https://openalex.org/W4291897433","https://openalex.org/W3011074480","https://openalex.org/W3192840557"],"abstract_inverted_index":{"Indonesia":[0],"is":[1,31,77],"one":[2],"of":[3,82,126,140],"the":[4,53,80,87,135],"archipelago":[5],"countries":[6],"located":[7],"in":[8,59],"Asia":[9],"and":[10,24,38,69,119,133,138,142],"it":[11],"has":[12],"diverse":[13],"cultures.":[14],"In":[15,50],"modern":[16],"society,":[17],"Indonesian":[18,47],"traditional":[19,48,54],"houses":[20],"have":[21],"become":[22],"rare":[23],"need":[25],"to":[26,33,39,79,97],"be":[27],"preserved.":[28],"This":[29],"research":[30],"conducted":[32],"build":[34,98],"a":[35,99],"digital":[36],"collection":[37,81],"develop":[40],"an":[41,102],"image-based":[42],"automatic":[43,103],"recognition":[44,104],"system":[45],"for":[46,101],"houses.":[49],"this":[51],"paper,":[52],"house":[55],"images":[56,66,72,125],"are":[57],"collected":[58],"several":[60],"ways:":[61],"on-site":[62],"image":[63],"captures,":[64],"receiving":[65],"from":[67,73],"volunteers,":[68],"collecting":[70],"public":[71],"Google.":[74],"The":[75,90,106,121],"dataset":[76],"limited":[78],"building":[83],"shape":[84],"images,":[85],"excluding":[86],"interior":[88],"design.":[89],"authors":[91],"implement":[92],"Convolutional":[93],"Neural":[94],"Networks":[95],"(ConvNets)":[96],"model":[100],"system.":[105],"experiments":[107,122],"run":[108],"some":[109],"deep":[110],"network":[111],"models:":[112],"VGG,":[113],"DenseNet,":[114],"Inception,":[115],"Xception,":[116],"MobileNetV2,":[117],"NasNetMobile,":[118],"EfficientNet.":[120],"involve":[123],"1526":[124],"16":[127],"classes.":[128],"EfficientNet-Lite0":[129],"outperforms":[130],"other":[131],"models":[132],"produces":[134],"average":[136],"F1-score":[137],"accuracy":[139],"90.1%":[141],"91.8%,":[143],"respectively.":[144],"ConvNets":[145],"also":[146],"outperform":[147],"conventional":[148],"classifiers.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}
