{"id":"https://openalex.org/W4400491742","doi":"https://doi.org/10.1109/aiiot61789.2024.10579013","title":"GA-Net: Global-aware Attention-guided CNN for Food Image Classification","display_name":"GA-Net: Global-aware Attention-guided CNN for Food Image Classification","publication_year":2024,"publication_date":"2024-05-29","ids":{"openalex":"https://openalex.org/W4400491742","doi":"https://doi.org/10.1109/aiiot61789.2024.10579013"},"language":"en","primary_location":{"id":"doi:10.1109/aiiot61789.2024.10579013","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/aiiot61789.2024.10579013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE World AI IoT Congress (AIIoT)","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/A5114105328","display_name":"Alvin Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Alvin Wang","raw_affiliation_strings":["Bridgeland High School 10707 Mason Rd,Cypress,TX,USA,77433"],"affiliations":[{"raw_affiliation_string":"Bridgeland High School 10707 Mason Rd,Cypress,TX,USA,77433","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008325478","display_name":"Lujun Zhai","orcid":"https://orcid.org/0009-0003-6187-027X"},"institutions":[{"id":"https://openalex.org/I250520410","display_name":"Prairie View A&M University","ror":"https://ror.org/0449kf092","country_code":"US","type":"education","lineage":["https://openalex.org/I250520410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lujun Zhai","raw_affiliation_strings":["Prairie View A&#x0026;M University 100 University Dr,Electrical and Computer Engineering,Prairie View,TX,USA,77446"],"affiliations":[{"raw_affiliation_string":"Prairie View A&#x0026;M University 100 University Dr,Electrical and Computer Engineering,Prairie View,TX,USA,77446","institution_ids":["https://openalex.org/I250520410"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5114105328"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2095,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46757915,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"0408","last_page":"0413"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9670000076293945,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9670000076293945,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6737799048423767},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.61020827293396},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5888854265213013},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5768048167228699},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4662707448005676},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45661112666130066},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3985271453857422},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1255280077457428}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6737799048423767},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.61020827293396},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5888854265213013},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5768048167228699},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4662707448005676},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45661112666130066},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3985271453857422},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1255280077457428},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aiiot61789.2024.10579013","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/aiiot61789.2024.10579013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE World AI IoT Congress (AIIoT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2912321008","https://openalex.org/W1998607122","https://openalex.org/W2324368075","https://openalex.org/W2972124131","https://openalex.org/W338149487","https://openalex.org/W2972032537","https://openalex.org/W150363521","https://openalex.org/W3154107650","https://openalex.org/W2291489469","https://openalex.org/W2546503577"],"abstract_inverted_index":{"Overweight":[0],"and":[1,18,60,82,108],"obesity":[2],"have":[3],"become":[4],"pressing":[5],"societal":[6],"concerns,":[7],"particularly":[8],"among":[9],"African":[10,31,116],"American":[11,32,117],"women,":[12],"directly":[13],"impacting":[14],"their":[15],"life":[16],"expectancy":[17],"quality":[19],"of":[20,30,67,90,104],"life.":[21],"This":[22,96],"paper":[23],"aims":[24],"to":[25,38,71,111],"address":[26],"the":[27,65,73,88],"dietary":[28,106],"health":[29,113],"women":[33],"by":[34],"introducing":[35],"a":[36,54,99],"method":[37],"assess":[39],"food":[40,49,58,74,92],"calorie":[41],"content":[42],"through":[43],"image":[44],"analysis.":[45],"Firstly,":[46],"we":[47,63],"develop":[48],"vision":[50,75,93],"neural":[51],"network":[52],"as":[53],"powerful":[55],"tool":[56],"for":[57,101,115],"analysis":[59],"prediction.":[61],"Secondly,":[62],"explore":[64],"utilization":[66],"text-to-image":[68],"generative":[69],"models":[70],"construct":[72],"training":[76],"dataset,":[77],"thereby":[78],"significantly":[79],"reducing":[80],"labor":[81],"cost.":[83],"Finally,":[84],"extensive":[85],"experiments":[86],"demonstrate":[87],"effectiveness":[89],"our":[91],"prediction":[94],"system.":[95],"approach":[97],"provides":[98],"pathway":[100],"improving":[102],"awareness":[103],"unhealthy":[105],"habits":[107],"offers":[109],"resources":[110],"enhance":[112],"outcomes":[114],"women.":[118]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
