{"id":"https://openalex.org/W4388720850","doi":"https://doi.org/10.1109/gcce59613.2023.10315482","title":"Malaysian Food Recognition and Calories Estimation Using CNN With TensorFlow","display_name":"Malaysian Food Recognition and Calories Estimation Using CNN With TensorFlow","publication_year":2023,"publication_date":"2023-10-10","ids":{"openalex":"https://openalex.org/W4388720850","doi":"https://doi.org/10.1109/gcce59613.2023.10315482"},"language":"en","primary_location":{"id":"doi:10.1109/gcce59613.2023.10315482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce59613.2023.10315482","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 12th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-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/A5093272726","display_name":"Natasha Amira Abdul Rauf","orcid":null},"institutions":[{"id":"https://openalex.org/I930072361","display_name":"Tun Hussein Onn University of Malaysia","ror":"https://ror.org/01c5wha71","country_code":"MY","type":"education","lineage":["https://openalex.org/I930072361"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Natasha Amira Abdul Rauf","raw_affiliation_strings":["University Tun Hussein Onn Malaysia,Faculty of Electrical and Electronic Engineering,Johor,Malaysia","Faculty of Electrical and Electronic Engineering, University Tun Hussein Onn Malaysia, Johor, Malaysia"],"affiliations":[{"raw_affiliation_string":"University Tun Hussein Onn Malaysia,Faculty of Electrical and Electronic Engineering,Johor,Malaysia","institution_ids":["https://openalex.org/I930072361"]},{"raw_affiliation_string":"Faculty of Electrical and Electronic Engineering, University Tun Hussein Onn Malaysia, Johor, Malaysia","institution_ids":["https://openalex.org/I930072361"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111075316","display_name":"Abang Muhamad Zaid","orcid":null},"institutions":[{"id":"https://openalex.org/I930072361","display_name":"Tun Hussein Onn University of Malaysia","ror":"https://ror.org/01c5wha71","country_code":"MY","type":"education","lineage":["https://openalex.org/I930072361"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Abang Muhamad Zaid","raw_affiliation_strings":["University Tun Hussein Onn Malaysia,Faculty of Electrical and Electronic Engineering,Johor,Malaysia","Faculty of Electrical and Electronic Engineering, University Tun Hussein Onn Malaysia, Johor, Malaysia"],"affiliations":[{"raw_affiliation_string":"University Tun Hussein Onn Malaysia,Faculty of Electrical and Electronic Engineering,Johor,Malaysia","institution_ids":["https://openalex.org/I930072361"]},{"raw_affiliation_string":"Faculty of Electrical and Electronic Engineering, University Tun Hussein Onn Malaysia, Johor, Malaysia","institution_ids":["https://openalex.org/I930072361"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039280624","display_name":"Sharifah Saon","orcid":"https://orcid.org/0000-0003-2706-3258"},"institutions":[{"id":"https://openalex.org/I930072361","display_name":"Tun Hussein Onn University of Malaysia","ror":"https://ror.org/01c5wha71","country_code":"MY","type":"education","lineage":["https://openalex.org/I930072361"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Sharifah Saon","raw_affiliation_strings":["University Tun Hussein Onn Malaysia,Faculty of Electrical and Electronic Engineering,Johor,Malaysia","Faculty of Electrical and Electronic Engineering, University Tun Hussein Onn Malaysia, Johor, Malaysia"],"affiliations":[{"raw_affiliation_string":"University Tun Hussein Onn Malaysia,Faculty of Electrical and Electronic Engineering,Johor,Malaysia","institution_ids":["https://openalex.org/I930072361"]},{"raw_affiliation_string":"Faculty of Electrical and Electronic Engineering, University Tun Hussein Onn Malaysia, Johor, Malaysia","institution_ids":["https://openalex.org/I930072361"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056024532","display_name":"Abd Kadir Mahamad","orcid":"https://orcid.org/0000-0002-3985-6549"},"institutions":[{"id":"https://openalex.org/I930072361","display_name":"Tun Hussein Onn University of Malaysia","ror":"https://ror.org/01c5wha71","country_code":"MY","type":"education","lineage":["https://openalex.org/I930072361"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Abd Kadir Mahamad","raw_affiliation_strings":["University Tun Hussein Onn Malaysia,Faculty of Electrical and Electronic Engineering,Johor,Malaysia","Faculty of Electrical and Electronic Engineering, University Tun Hussein Onn Malaysia, Johor, Malaysia"],"affiliations":[{"raw_affiliation_string":"University Tun Hussein Onn Malaysia,Faculty of Electrical and Electronic Engineering,Johor,Malaysia","institution_ids":["https://openalex.org/I930072361"]},{"raw_affiliation_string":"Faculty of Electrical and Electronic Engineering, University Tun Hussein Onn Malaysia, Johor, Malaysia","institution_ids":["https://openalex.org/I930072361"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001561994","display_name":"Mohd Anuaruddin Bin Ahmadon","orcid":"https://orcid.org/0000-0003-0952-7151"},"institutions":[{"id":"https://openalex.org/I173915773","display_name":"Yamaguchi University","ror":"https://ror.org/03cxys317","country_code":"JP","type":"education","lineage":["https://openalex.org/I173915773"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mohd Anuaruddin Bin Ahmadon","raw_affiliation_strings":["Yamaguchi University,Graduate School Of Science And Technology For Innovation,Japan","Graduate School Of Science And Technology For Innovation, Yamaguchi University, Japan"],"affiliations":[{"raw_affiliation_string":"Yamaguchi University,Graduate School Of Science And Technology For Innovation,Japan","institution_ids":["https://openalex.org/I173915773"]},{"raw_affiliation_string":"Graduate School Of Science And Technology For Innovation, Yamaguchi University, Japan","institution_ids":["https://openalex.org/I173915773"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041793220","display_name":"Shingo Yamaguchi","orcid":"https://orcid.org/0000-0003-0579-8501"},"institutions":[{"id":"https://openalex.org/I173915773","display_name":"Yamaguchi University","ror":"https://ror.org/03cxys317","country_code":"JP","type":"education","lineage":["https://openalex.org/I173915773"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shingo Yamaguchi","raw_affiliation_strings":["Yamaguchi University,Graduate School Of Science And Technology For Innovation,Japan","Graduate School Of Science And Technology For Innovation, Yamaguchi University, Japan"],"affiliations":[{"raw_affiliation_string":"Yamaguchi University,Graduate School Of Science And Technology For Innovation,Japan","institution_ids":["https://openalex.org/I173915773"]},{"raw_affiliation_string":"Graduate School Of Science And Technology For Innovation, Yamaguchi University, Japan","institution_ids":["https://openalex.org/I173915773"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5093272726"],"corresponding_institution_ids":["https://openalex.org/I930072361"],"apc_list":null,"apc_paid":null,"fwci":1.1807,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.79902848,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"493","last_page":"497"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.9746000170707703,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.9746000170707703,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/calorie","display_name":"Calorie","score":0.8088464736938477},{"id":"https://openalex.org/keywords/christian-ministry","display_name":"Christian ministry","score":0.7028149366378784},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6830905079841614},{"id":"https://openalex.org/keywords/overweight","display_name":"Overweight","score":0.6679370999336243},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5735713243484497},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5225969552993774},{"id":"https://openalex.org/keywords/obesity","display_name":"Obesity","score":0.5195562839508057},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49205392599105835},{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.47311851382255554},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.46603554487228394},{"id":"https://openalex.org/keywords/environmental-health","display_name":"Environmental health","score":0.45147576928138733},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4222589433193207},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.382589191198349},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.244825541973114},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1964598000049591},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11469820141792297},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.08214953541755676}],"concepts":[{"id":"https://openalex.org/C40438245","wikidata":"https://www.wikidata.org/wiki/Q130964","display_name":"Calorie","level":2,"score":0.8088464736938477},{"id":"https://openalex.org/C521751864","wikidata":"https://www.wikidata.org/wiki/Q1729207","display_name":"Christian ministry","level":2,"score":0.7028149366378784},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6830905079841614},{"id":"https://openalex.org/C2780586474","wikidata":"https://www.wikidata.org/wiki/Q332428","display_name":"Overweight","level":3,"score":0.6679370999336243},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5735713243484497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5225969552993774},{"id":"https://openalex.org/C511355011","wikidata":"https://www.wikidata.org/wiki/Q12174","display_name":"Obesity","level":2,"score":0.5195562839508057},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49205392599105835},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.47311851382255554},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.46603554487228394},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.45147576928138733},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4222589433193207},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.382589191198349},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.244825541973114},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1964598000049591},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11469820141792297},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.08214953541755676},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcce59613.2023.10315482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce59613.2023.10315482","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 12th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W12634471","https://openalex.org/W2807481974","https://openalex.org/W2941375172","https://openalex.org/W3005887254","https://openalex.org/W3032415421","https://openalex.org/W3120942332","https://openalex.org/W3135185741","https://openalex.org/W3166678022","https://openalex.org/W4297347783"],"related_works":["https://openalex.org/W2102483815","https://openalex.org/W236355199","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"In":[0],"Malaysia,":[1],"health":[2],"monitoring":[3],"has":[4],"become":[5],"a":[6,20,63,73,90,152],"top":[7],"priority,":[8],"especially":[9],"in":[10,89],"regard":[11],"to":[12,68,76,80,129],"calorie":[13,78],"intake,":[14],"which":[15],"is":[16,36],"essential":[17],"for":[18],"keeping":[19],"fit":[21],"body.":[22],"The":[23,42,103],"prevalence":[24],"of":[25,45,53,92,123,131,141,148],"overweight":[26],"people":[27],"and":[28,33,72,100,109,144],"obesity-related":[29],"disorders,":[30],"including":[31,96],"diabetes":[32],"cardiovascular":[34],"problems,":[35],"alarmingly":[37],"rising":[38],"across":[39],"the":[40,51,112,118,121,124,137,145],"nation.":[41],"current":[43],"approach":[44],"manually":[46],"calculating":[47],"calories":[48,133],"based":[49],"on":[50],"amount":[52],"food":[54,70],"consumed":[55],"can":[56],"produce":[57],"unreliable":[58],"results.":[59],"A":[60],"project":[61],"utilizing":[62],"Convolutional":[64],"Neural":[65],"Network":[66],"(CNN)":[67],"detect":[69],"classes":[71],"TensorFlow":[74,104,113],"model":[75,105,126],"calculate":[77],"counts":[79],"address":[81],"this":[82],"issue.":[83],"Combining":[84],"different":[85],"Kaggle":[86],"datasets":[87],"resulted":[88],"collection":[91],"popular":[93],"Malaysian":[94],"cuisines,":[95],"three":[97,101],"regional":[98],"specialties":[99],"fruits.":[102],"was":[106,127],"then":[107],"trained":[108],"tested":[110],"using":[111,134],"Keras":[114],"framework.":[115],"To":[116],"evaluate":[117],"project's":[119],"accuracy,":[120],"performance":[122],"developed":[125],"compared":[128],"that":[130],"commercial":[132],"data":[135],"from":[136],"United":[138],"States":[139],"Department":[140],"Agriculture":[142],"(USDA)":[143],"Malaysia":[146],"Ministry":[147],"Health":[149],"(KKM)":[150],"as":[151],"reference.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
