{"id":"https://openalex.org/W4388037486","doi":"https://doi.org/10.1109/asyu58738.2023.10296793","title":"Transfer Learning Approach for Classification of Beef Meat Regions with CNN","display_name":"Transfer Learning Approach for Classification of Beef Meat Regions with CNN","publication_year":2023,"publication_date":"2023-10-11","ids":{"openalex":"https://openalex.org/W4388037486","doi":"https://doi.org/10.1109/asyu58738.2023.10296793"},"language":"en","primary_location":{"id":"doi:10.1109/asyu58738.2023.10296793","doi":"https://doi.org/10.1109/asyu58738.2023.10296793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asyu58738.2023.10296793","pdf_url":null,"source":{"id":"https://openalex.org/S4363608363","display_name":"Innovations in Intelligent Systems and Applications Conference (ASYU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Innovations in Intelligent Systems and Applications Conference (ASYU)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5093068999","display_name":"Sait Alp","orcid":"https://orcid.org/0000-0003-2462-6166","observed_orcids":["https://orcid.org/0000-0003-2462-6166"]},"institutions":[{"id":"https://openalex.org/I265519392","display_name":"Erzurum Technical University","ror":"https://ror.org/038pb1155","country_code":"TR","type":"education","lineage":["https://openalex.org/I265519392"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Sait Alp","raw_affiliation_strings":["Erzurum Technical University,Department of Computer Engineering,Erzurum,Turkey","Department of Computer Engineering, Erzurum Technical University, Erzurum, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Erzurum Technical University,Department of Computer Engineering,Erzurum,Turkey","institution_ids":["https://openalex.org/I265519392"]},{"raw_affiliation_string":"Department of Computer Engineering, Erzurum Technical University, Erzurum, Turkey","institution_ids":["https://openalex.org/I265519392"]}]},{"author_position":"last","author":{"id":null,"display_name":"Rabia \u015eenlik","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I265519392","display_name":"Erzurum Technical University","ror":"https://ror.org/038pb1155","country_code":"TR","type":"education","lineage":["https://openalex.org/I265519392"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Rabia \u015eenlik","raw_affiliation_strings":["Erzurum Technical University,Department of Computer Engineering,Erzurum,Turkey","Department of Computer Engineering, Erzurum Technical University, Erzurum, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Erzurum Technical University,Department of Computer Engineering,Erzurum,Turkey","institution_ids":["https://openalex.org/I265519392"]},{"raw_affiliation_string":"Department of Computer Engineering, Erzurum Technical University, Erzurum, Turkey","institution_ids":["https://openalex.org/I265519392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I265519392"],"apc_list":null,"apc_paid":null,"fwci":0.439,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70507694,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.6880000233650208,"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":0.6880000233650208,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.19429999589920044,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.0471000000834465,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.7620000243186951},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.9490000009536743},{"id":"https://openalex.org/keywords/efficientnetv2","display_name":"EfficientNetV2","score":0.9359999895095825},{"id":"https://openalex.org/keywords/resnet-101","display_name":"ResNet-101","score":0.9850000143051147},{"id":"https://openalex.org/keywords/vgg16","display_name":"VGG16","score":0.9980000257492065},{"id":"https://openalex.org/keywords/meat-quality-control","display_name":"meat quality control","score":0.578000009059906},{"id":"https://openalex.org/keywords/food-safety","display_name":"food safety","score":0.6019999980926514}],"concepts":[{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6776108741760254},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5989524126052856},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5964572429656982},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5774546265602112},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.542914867401123},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5321594476699829},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4679402709007263},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39313405752182007},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asyu58738.2023.10296793","doi":"https://doi.org/10.1109/asyu58738.2023.10296793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asyu58738.2023.10296793","pdf_url":null,"source":{"id":"https://openalex.org/S4363608363","display_name":"Innovations in Intelligent Systems and Applications Conference (ASYU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Innovations in Intelligent Systems and Applications Conference (ASYU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.8409000039100647,"display_name":"Zero hunger"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2194775991","https://openalex.org/W2795061970","https://openalex.org/W2913510798","https://openalex.org/W2969879331","https://openalex.org/W2997759487","https://openalex.org/W3039531318","https://openalex.org/W3094526584","https://openalex.org/W3145444543","https://openalex.org/W3160668903","https://openalex.org/W3204164233","https://openalex.org/W4229445133","https://openalex.org/W4304687751","https://openalex.org/W6793164127"],"related_works":["https://openalex.org/W7117112710","https://openalex.org/W4414727789","https://openalex.org/W4410000722","https://openalex.org/W7164941299","https://openalex.org/W7117483822","https://openalex.org/W7216800877","https://openalex.org/W4413372465","https://openalex.org/W7117578078","https://openalex.org/W7023577707","https://openalex.org/W7221250719"],"abstract_inverted_index":{"Accurate":[0],"identification":[1,117],"of":[2,72,91],"beef":[3,30,78,115],"components":[4],"is":[5],"crucial":[6],"for":[7,29,93,114],"the":[8,22,65,70,73,82,99],"meat":[9],"industry,":[10],"encompassing":[11],"consumer":[12],"confidence,":[13],"food":[14],"safety,":[15],"and":[16,58,62,88,105,111],"quality":[17],"control.":[18],"This":[19,96],"study":[20],"addresses":[21],"challenge":[23],"by":[24],"developing":[25],"a":[26,45,109],"robust":[27],"model":[28],"component":[31,116],"classification":[32],"using":[33],"RGB":[34],"images":[35],"obtained":[36],"from":[37],"smartphones.":[38],"A":[39],"diverse":[40],"dataset":[41],"was":[42],"collected":[43],"outside":[44],"controlled":[46],"laboratory":[47],"environment,":[48],"closely":[49],"resembling":[50],"real-world":[51],"conditions.":[52],"Three":[53],"CNN-based":[54],"models,":[55],"EfficientNetV2S,":[56],"ResNet101,":[57],"VGG16,":[59],"were":[60],"fine-tuned":[61],"evaluated":[63],"on":[64],"dataset.":[66],"The":[67],"results":[68],"demonstrated":[69],"effectiveness":[71],"models":[74],"in":[75,118],"accurately":[76],"classifying":[77],"components.":[79],"EfficientNetV2S":[80],"achieved":[81],"highest":[83],"performance,":[84],"with":[85],"precision,":[86],"recall,":[87],"F1-score":[89],"values":[90],"0.92":[92],"all":[94],"classes.":[95],"research":[97],"bridges":[98],"gap":[100],"between":[101],"non-destructive":[102],"detection":[103],"technologies":[104],"end":[106],"users,":[107],"providing":[108],"practical":[110],"reliable":[112],"solution":[113],"various":[119],"applications.":[120]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2023-11-01T00:00:00"}