{"id":"https://openalex.org/W4400733192","doi":"https://doi.org/10.11591/ijai.v13.i3.pp3018-3027","title":"A mobile-optimized convolutional neural network approach for real-time batik pattern recognition","display_name":"A mobile-optimized convolutional neural network approach for real-time batik pattern recognition","publication_year":2024,"publication_date":"2024-07-17","ids":{"openalex":"https://openalex.org/W4400733192","doi":"https://doi.org/10.11591/ijai.v13.i3.pp3018-3027"},"language":"en","primary_location":{"id":"doi:10.11591/ijai.v13.i3.pp3018-3027","doi":"https://doi.org/10.11591/ijai.v13.i3.pp3018-3027","is_oa":true,"landing_page_url":"http://dx.doi.org/10.11591/ijai.v13.i3.pp3018-3027","pdf_url":"https://ijai.iaescore.com/index.php/IJAI/article/download/25043/14111","source":{"id":"https://openalex.org/S2764408626","display_name":"IAES International Journal of Artificial Intelligence","issn_l":"2089-4872","issn":["2089-4872","2252-8938"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IAES International Journal of Artificial Intelligence (IJ-AI)","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ijai.iaescore.com/index.php/IJAI/article/download/25043/14111","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036507476","display_name":"Rosalina Rosalina","orcid":"https://orcid.org/0000-0003-0262-1938","observed_orcids":["https://orcid.org/0000-0003-0262-1938"]},"institutions":[{"id":"https://openalex.org/I190243414","display_name":"President University","ror":"https://ror.org/04w4pwd42","country_code":"ID","type":"education","lineage":["https://openalex.org/I190243414"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Rosalina Rosalina","raw_affiliation_strings":["President University"],"raw_orcid":"https://orcid.org/0000-0003-0262-1938","affiliations":[{"raw_affiliation_string":"President University","institution_ids":["https://openalex.org/I190243414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112444261","display_name":"Genta Sahuri","orcid":"https://orcid.org/0000-0002-8773-9320","observed_orcids":["https://orcid.org/0000-0002-8773-9320"]},"institutions":[{"id":"https://openalex.org/I190243414","display_name":"President University","ror":"https://ror.org/04w4pwd42","country_code":"ID","type":"education","lineage":["https://openalex.org/I190243414"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Genta Sahuri","raw_affiliation_strings":["President University"],"raw_orcid":"https://orcid.org/0000-0002-8773-9320","affiliations":[{"raw_affiliation_string":"President University","institution_ids":["https://openalex.org/I190243414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104635034","display_name":"Hana Desriva","orcid":"https://orcid.org/0009-0001-9939-821X","observed_orcids":["https://orcid.org/0009-0001-9939-821X"]},"institutions":[{"id":"https://openalex.org/I190243414","display_name":"President University","ror":"https://ror.org/04w4pwd42","country_code":"ID","type":"education","lineage":["https://openalex.org/I190243414"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Hana Desriva","raw_affiliation_strings":["President University"],"raw_orcid":"https://orcid.org/0009-0001-9939-821X","affiliations":[{"raw_affiliation_string":"President University","institution_ids":["https://openalex.org/I190243414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I190243414"],"apc_list":null,"apc_paid":null,"fwci":0.4265,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.51809691,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"13","issue":"3","first_page":"3018","last_page":"3018"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9775000214576721,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9775000214576721,"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/T13674","display_name":"Computer Science and Engineering","score":0.016300000250339508,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.0012000000569969416,"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/batik-motif-classification","display_name":"batik motif classification","score":0.9240000247955322},{"id":"https://openalex.org/keywords/indonesian-batik","display_name":"Indonesian batik","score":0.8009999990463257},{"id":"https://openalex.org/keywords/cultural-heritage-preservation","display_name":"cultural heritage preservation","score":0.9399999976158142},{"id":"https://openalex.org/keywords/mobile-application","display_name":"mobile application","score":0.703000009059906},{"id":"https://openalex.org/keywords/real-time-image-recognition","display_name":"real-time image recognition","score":0.8600000143051147},{"id":"https://openalex.org/keywords/efficientnet","display_name":"EfficientNet","score":0.9359999895095825},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.8230000138282776},{"id":"https://openalex.org/keywords/android-application","display_name":"Android application","score":0.718999981880188}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.846915066242218},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7499963045120239},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.6101152896881104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5195556282997131},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.48407378792762756},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.46569833159446716},{"id":"https://openalex.org/C60671577","wikidata":"https://www.wikidata.org/wiki/Q210272","display_name":"Cultural heritage","level":2,"score":0.46059784293174744},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44437357783317566},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4186221957206726},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36489492654800415},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.20790743827819824},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.11591/ijai.v13.i3.pp3018-3027","doi":"https://doi.org/10.11591/ijai.v13.i3.pp3018-3027","is_oa":true,"landing_page_url":"http://dx.doi.org/10.11591/ijai.v13.i3.pp3018-3027","pdf_url":"https://ijai.iaescore.com/index.php/IJAI/article/download/25043/14111","source":{"id":"https://openalex.org/S2764408626","display_name":"IAES International Journal of Artificial Intelligence","issn_l":"2089-4872","issn":["2089-4872","2252-8938"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IAES International Journal of Artificial Intelligence (IJ-AI)","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.11591/ijai.v13.i3.pp3018-3027","doi":"https://doi.org/10.11591/ijai.v13.i3.pp3018-3027","is_oa":true,"landing_page_url":"http://dx.doi.org/10.11591/ijai.v13.i3.pp3018-3027","pdf_url":"https://ijai.iaescore.com/index.php/IJAI/article/download/25043/14111","source":{"id":"https://openalex.org/S2764408626","display_name":"IAES International Journal of Artificial Intelligence","issn_l":"2089-4872","issn":["2089-4872","2252-8938"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IAES International Journal of Artificial Intelligence (IJ-AI)","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5378999710083008}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400733192.pdf","grobid_xml":"https://content.openalex.org/works/W4400733192.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W2618540799","https://openalex.org/W2973960287","https://openalex.org/W2990853187","https://openalex.org/W3004891375","https://openalex.org/W3014655954","https://openalex.org/W3016423281","https://openalex.org/W3021054083","https://openalex.org/W3022224003","https://openalex.org/W3070943404","https://openalex.org/W3111471916","https://openalex.org/W3120175641","https://openalex.org/W3131575141","https://openalex.org/W3133612196","https://openalex.org/W3151600895","https://openalex.org/W3184008268","https://openalex.org/W3197728515","https://openalex.org/W3198464035","https://openalex.org/W4205185814","https://openalex.org/W4285104142","https://openalex.org/W4285332689","https://openalex.org/W4312756507","https://openalex.org/W4377704450","https://openalex.org/W4377704456","https://openalex.org/W4388996723","https://openalex.org/W4388996845"],"related_works":["https://openalex.org/W4417052209","https://openalex.org/W7216199459","https://openalex.org/W4407177509","https://openalex.org/W7168030743","https://openalex.org/W7116964081","https://openalex.org/W7211948344","https://openalex.org/W4401150449","https://openalex.org/W7133189275","https://openalex.org/W7216899525","https://openalex.org/W4408566015"],"abstract_inverted_index":{"This":[0,103],"research":[1],"focuses":[2],"on":[3],"preserving":[4],"and":[5,15,36,47,82,111,121],"sharing":[6],"knowledge":[7],"about":[8],"Indonesian":[9],"batik,":[10],"a":[11,28],"blend":[12],"of":[13,25,38,49,71,93],"art":[14],"technology":[16],"symbolizing":[17],"the":[18,54,61],"nation's":[19],"creativity.":[20],"To":[21],"address":[22],"declining":[23],"awareness":[24],"batik":[26,39,76,114],"types,":[27,115],"mobile":[29],"application":[30],"is":[31,43],"introduced":[32],"for":[33,119],"real-time":[34,96],"recognition":[35,97],"classification":[37],"motifs.":[40],"The":[41],"goal":[42],"to":[44,106,109],"maintain":[45],"appreciation":[46],"understanding":[48],"this":[50],"cultural":[51,117],"heritage.":[52],"Using":[53],"EfficientNet":[55],"convolutional":[56],"neural":[57],"network":[58],"(CNN)":[59],"architecture,":[60],"study":[62],"enhances":[63],"model":[64,80],"accuracy":[65,101],"with":[66,98],"effective":[67],"scaling.":[68],"A":[69],"dataset":[70],"1350":[72],"images":[73],"representing":[74],"15":[75],"types":[77],"supports":[78],"robust":[79],"training":[81],"evaluation.":[83],"Results":[84],"demonstrate":[85],"successful":[86],"implementation,":[87],"yielding":[88],"an":[89,99],"Android":[90],"app":[91],"capable":[92],"deep":[94],"learning-based":[95],"83%":[100],"rate.":[102],"innovation":[104],"aims":[105],"empower":[107],"users":[108],"identify":[110],"appreciate":[112],"distinct":[113],"ensuring":[116],"preservation":[118],"current":[120],"future":[122],"generations.":[123]},"counts_by_year":[{"year":2026,"cited_by_count":4}],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2024-07-18T00:00:00"}