{"id":"https://openalex.org/W4382204375","doi":"https://doi.org/10.1109/saci58269.2023.10158575","title":"Food recognition using neural network on mobile device","display_name":"Food recognition using neural network on mobile device","publication_year":2023,"publication_date":"2023-05-23","ids":{"openalex":"https://openalex.org/W4382204375","doi":"https://doi.org/10.1109/saci58269.2023.10158575"},"language":"en","primary_location":{"id":"doi:10.1109/saci58269.2023.10158575","is_oa":false,"landing_page_url":"https://doi.org/10.1109/saci58269.2023.10158575","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","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/A5104135618","display_name":"\u00c1mon Kiss","orcid":null},"institutions":[{"id":"https://openalex.org/I2801419141","display_name":"Buda Health Center","ror":"https://ror.org/00yx04352","country_code":"HU","type":"healthcare","lineage":["https://openalex.org/I2801419141"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"\u00c1mon Kiss","raw_affiliation_strings":["&#x00D3;buda University,John von Neumann Faculty of Informatics,Budapest,Hungary"],"affiliations":[{"raw_affiliation_string":"&#x00D3;buda University,John von Neumann Faculty of Informatics,Budapest,Hungary","institution_ids":["https://openalex.org/I2801419141"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066948061","display_name":"Andr\u00e1s Kov\u00e1cs","orcid":"https://orcid.org/0000-0001-8485-991X"},"institutions":[{"id":"https://openalex.org/I2801419141","display_name":"Buda Health Center","ror":"https://ror.org/00yx04352","country_code":"HU","type":"healthcare","lineage":["https://openalex.org/I2801419141"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Andr\u00e1s Kov\u00e1cs","raw_affiliation_strings":["&#x00D3;buda University,John von Neumann Faculty of Informatics,Budapest,Hungary"],"affiliations":[{"raw_affiliation_string":"&#x00D3;buda University,John von Neumann Faculty of Informatics,Budapest,Hungary","institution_ids":["https://openalex.org/I2801419141"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5104135618"],"corresponding_institution_ids":["https://openalex.org/I2801419141"],"apc_list":null,"apc_paid":null,"fwci":0.8235,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.81813073,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"000755","last_page":"000760"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9668999910354614,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant 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/T10616","display_name":"Smart Agriculture and AI","score":0.9668999910354614,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant 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"}},{"id":"https://openalex.org/T12222","display_name":"IoT-based Smart Home Systems","score":0.949999988079071,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9447000026702881,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7699707746505737},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7065010070800781},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5848152041435242},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.520142138004303},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5179089903831482},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.4942662715911865},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4807829260826111},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3903537392616272},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3391458988189697},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08339476585388184}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7699707746505737},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7065010070800781},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5848152041435242},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.520142138004303},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5179089903831482},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.4942662715911865},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4807829260826111},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3903537392616272},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3391458988189697},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08339476585388184}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/saci58269.2023.10158575","is_oa":false,"landing_page_url":"https://doi.org/10.1109/saci58269.2023.10158575","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.4300000071525574,"display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1861492603","https://openalex.org/W2570343428","https://openalex.org/W2972936675","https://openalex.org/W2982083293","https://openalex.org/W3180134609","https://openalex.org/W4297775537","https://openalex.org/W6631190155","https://openalex.org/W6639102338","https://openalex.org/W6731892127","https://openalex.org/W6737664043","https://openalex.org/W6767563830"],"related_works":["https://openalex.org/W3093612317","https://openalex.org/W4287776258","https://openalex.org/W3027997911","https://openalex.org/W2175746458","https://openalex.org/W2732542196","https://openalex.org/W2767651786","https://openalex.org/W2760085659","https://openalex.org/W2883200793","https://openalex.org/W2738221750","https://openalex.org/W3012978760"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,18,23,81],"solution":[4,16],"to":[5,110,117,126,144],"the":[6,30,53,74,92,99,112,120,129,140,151],"problem":[7],"of":[8,48],"real-time":[9],"food":[10,36,51,63],"detection":[11],"on":[12,134],"mobile":[13,137],"devices.":[14],"The":[15,56,86,105],"compares":[17],"YOLOv4":[19,44,83],"tiny":[20,45,84],"model":[21,57],"and":[22,42,98,119,139,147],"multilayer":[24,75],"classification":[25,41],"neural":[26,32],"network":[27,33,76],"ensemble":[28,77],"as":[29],"convolutional":[31],"responsible":[34],"for":[35,40],"detection,":[37],"using":[38,65],"MobilenetV3":[39],"several":[43],"models":[46,131],"capable":[47],"detecting":[49],"less":[50],"in":[52],"overall":[54],"problem.":[55],"was":[58,89,95,102],"trained":[59],"with":[60],"40":[61],"different":[62],"categories":[64],"an":[66,135],"RTX":[67],"3070":[68],"video":[69],"card.":[70],"Results":[71],"showed":[72],"that":[73],"performed":[78],"better":[79],"than":[80],"single":[82],"model.":[85],"TP":[87],"value":[88,94,101],"258":[90],"higher,":[91],"FP":[93],"163":[96],"lower":[97],"FN":[100],"773":[103],"lower.":[104],"accuracy":[106],"increased":[107,114,123],"from":[108,115,124,150],"0,56":[109],"0,61,":[111],"recall":[113],"0,52":[116],"0,70":[118],"F1-score":[121],"also":[122],"0,54":[125],"0,65.":[127],"Finally,":[128],"finished":[130],"were":[132],"implemented":[133],"Android":[136],"device,":[138],"application":[141],"allows":[142],"users":[143],"log":[145],"meals":[146],"generate":[148],"statistics":[149],"saved":[152],"data.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
