{"id":"https://openalex.org/W4410294643","doi":"https://doi.org/10.1109/access.2025.3569435","title":"KediNet: A Hybrid Deep Learning Architecture for Thai Dessert Recognition","display_name":"KediNet: A Hybrid Deep Learning Architecture for Thai Dessert Recognition","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410294643","doi":"https://doi.org/10.1109/access.2025.3569435"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3569435","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3569435","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3569435","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070708809","display_name":"Nawanol Theera-Ampornpunt","orcid":"https://orcid.org/0000-0002-7594-8061"},"institutions":[{"id":"https://openalex.org/I131868736","display_name":"Prince of Songkla University","ror":"https://ror.org/0575ycz84","country_code":"TH","type":"education","lineage":["https://openalex.org/I131868736"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Nawanol Theera-Ampornpunt","raw_affiliation_strings":["College of Computing, Prince of Songkla University, Phuket, Thailand"],"raw_orcid":"https://orcid.org/0000-0002-7594-8061","affiliations":[{"raw_affiliation_string":"College of Computing, Prince of Songkla University, Phuket, Thailand","institution_ids":["https://openalex.org/I131868736"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017871252","display_name":"Panisa Treepong","orcid":"https://orcid.org/0000-0002-5370-6387"},"institutions":[{"id":"https://openalex.org/I131868736","display_name":"Prince of Songkla University","ror":"https://ror.org/0575ycz84","country_code":"TH","type":"education","lineage":["https://openalex.org/I131868736"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Panisa Treepong","raw_affiliation_strings":["College of Computing, Prince of Songkla University, Phuket, Thailand"],"raw_orcid":"https://orcid.org/0000-0002-5370-6387","affiliations":[{"raw_affiliation_string":"College of Computing, Prince of Songkla University, Phuket, Thailand","institution_ids":["https://openalex.org/I131868736"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117517453","display_name":"Naphadon Phokabut","orcid":null},"institutions":[{"id":"https://openalex.org/I131868736","display_name":"Prince of Songkla University","ror":"https://ror.org/0575ycz84","country_code":"TH","type":"education","lineage":["https://openalex.org/I131868736"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Naphadon Phokabut","raw_affiliation_strings":["College of Computing, Prince of Songkla University, Phuket, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computing, Prince of Songkla University, Phuket, Thailand","institution_ids":["https://openalex.org/I131868736"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5117517454","display_name":"Sarawut Phlaichana","orcid":null},"institutions":[{"id":"https://openalex.org/I131868736","display_name":"Prince of Songkla University","ror":"https://ror.org/0575ycz84","country_code":"TH","type":"education","lineage":["https://openalex.org/I131868736"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Sarawut Phlaichana","raw_affiliation_strings":["College of Computing, Prince of Songkla University, Phuket, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computing, Prince of Songkla University, Phuket, Thailand","institution_ids":["https://openalex.org/I131868736"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I131868736"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.9832,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.84671607,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"13","issue":null,"first_page":"86935","last_page":"86948"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12486","display_name":"Food Supply Chain Traceability","score":0.916100025177002,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12486","display_name":"Food Supply Chain Traceability","score":0.916100025177002,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7352473735809326},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.6151959896087646},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4579874277114868},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40360337495803833},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.39377540349960327}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7352473735809326},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6151959896087646},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4579874277114868},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40360337495803833},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.39377540349960327},{"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":2,"locations":[{"id":"doi:10.1109/access.2025.3569435","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3569435","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4e03fcc9f14e4732ae914e1975378169","is_oa":true,"landing_page_url":"https://doaj.org/article/4e03fcc9f14e4732ae914e1975378169","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 86935-86948 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3569435","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3569435","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2990929956","display_name":null,"funder_award_id":"COC6604032S","funder_id":"https://openalex.org/F4320322692","funder_display_name":"Prince of Songkla University"}],"funders":[{"id":"https://openalex.org/F4320322692","display_name":"Prince of Songkla University","ror":"https://ror.org/0575ycz84"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W12634471","https://openalex.org/W339171211","https://openalex.org/W1030521295","https://openalex.org/W1816230274","https://openalex.org/W1964856489","https://openalex.org/W1982635469","https://openalex.org/W2096761622","https://openalex.org/W2117539524","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2206370378","https://openalex.org/W2466671568","https://openalex.org/W2563053307","https://openalex.org/W2583892095","https://openalex.org/W2756066007","https://openalex.org/W2756716612","https://openalex.org/W2769836096","https://openalex.org/W2778392031","https://openalex.org/W2780418809","https://openalex.org/W2804935296","https://openalex.org/W2921533448","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2963446712","https://openalex.org/W2963912358","https://openalex.org/W2963918968","https://openalex.org/W2964054038","https://openalex.org/W2964081807","https://openalex.org/W2981631843","https://openalex.org/W2982083293","https://openalex.org/W3015893256","https://openalex.org/W3034429256","https://openalex.org/W3035414587","https://openalex.org/W3037755158","https://openalex.org/W3049566753","https://openalex.org/W3093234244","https://openalex.org/W4200108856","https://openalex.org/W4285301680","https://openalex.org/W4292057410","https://openalex.org/W4312349930","https://openalex.org/W4312847199","https://openalex.org/W4319996536","https://openalex.org/W4389542611","https://openalex.org/W4390237842","https://openalex.org/W4403930626","https://openalex.org/W4404199198","https://openalex.org/W4404563194","https://openalex.org/W6738246399","https://openalex.org/W6738320603","https://openalex.org/W6742974098","https://openalex.org/W6762060668","https://openalex.org/W6766037382","https://openalex.org/W6776765601","https://openalex.org/W6793164127"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W3086377361"],"abstract_inverted_index":{"Obesity":[0],"and":[1,12,33,63,100,104,171],"diabetes":[2],"represent":[3],"escalating":[4],"health":[5,185],"challenges,":[6],"exacerbated":[7],"by":[8,29],"the":[9,56,76,106,179,189],"widespread":[10],"availability":[11],"convenience":[13],"of":[14,38,58,78,91,108,121,181,192],"processed":[15],"foods.":[16,41],"Automated":[17],"dietary":[18],"monitoring":[19],"technologies":[20],"offer":[21],"valuable":[22],"support":[23],"to":[24],"individuals":[25],"managing":[26],"these":[27],"conditions":[28],"helping":[30],"them":[31],"track":[32],"regulate":[34],"their":[35,167],"consumption,":[36],"particularly":[37],"high-calorie,":[39],"sugar-rich":[40],"Toward":[42],"this":[43,45],"goal,":[44],"paper":[46],"presents":[47],"KediNet,":[48,79],"a":[49,88,110],"hybrid":[50],"deep":[51,84],"learning":[52,85],"architecture":[53],"that":[54,127,156],"combines":[55],"strengths":[57],"convolutional":[59],"neural":[60],"networks":[61],"(CNNs)":[62],"vision":[64],"transformers":[65],"(ViTs)":[66],"for":[67,150,184],"Thai":[68,122,163],"dessert":[69,164],"recognition.":[70],"Our":[71,153],"main":[72],"contributions":[73],"include:":[74],"(1)":[75],"proposal":[77],"which":[80],"outperforms":[81],"nine":[82],"state-of-the-art":[83],"models;":[86],"(2)":[87],"comprehensive":[89],"comparison":[90],"classification":[92],"performance":[93],"across":[94,118],"different":[95],"model":[96],"architectures,":[97],"image":[98],"resolutions,":[99,144],"data":[101],"augmentation":[102],"techniques;":[103],"(3)":[105],"creation":[107],"THDESS-20,":[109],"new":[111],"publicly":[112],"available":[113],"dataset":[114],"containing":[115],"5,242":[116],"images":[117,165],"20":[119],"classes":[120],"desserts.":[123],"Experimental":[124],"results":[125],"demonstrate":[126],"KediNet":[128,157],"achieves":[129],"98.64%":[130],"balanced":[131],"accuracy":[132],"at":[133,142],"224\u00d6224":[134],"resolution,":[135],"surpassing":[136],"all":[137],"other":[138],"tested":[139],"models":[140],"even":[141],"higher":[143],"while":[145,187],"maintaining":[146],"inference":[147],"times":[148],"suitable":[149],"mobile":[151],"applications.":[152],"analysis":[154],"shows":[155],"effectively":[158],"extracts":[159],"meaningful":[160],"features":[161],"from":[162],"despite":[166],"high":[168],"intra-class":[169],"variation":[170],"visual":[172],"similarities":[173],"between":[174],"classes.":[175],"This":[176],"work":[177],"advances":[178],"field":[180],"food":[182],"recognition":[183],"applications":[186],"addressing":[188],"specific":[190],"challenges":[191],"ethnic":[193],"cuisine":[194],"classification.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}