{"id":"https://openalex.org/W4389314652","doi":"https://doi.org/10.1145/3627377.3627390","title":"Research on red wine quality prediction model based on Deep Learning architecture.","display_name":"Research on red wine quality prediction model based on Deep Learning architecture.","publication_year":2023,"publication_date":"2023-09-22","ids":{"openalex":"https://openalex.org/W4389314652","doi":"https://doi.org/10.1145/3627377.3627390"},"language":"en","primary_location":{"id":"doi:10.1145/3627377.3627390","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627377.3627390","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3627377.3627390","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 6th International Conference on Big Data Technologies","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3627377.3627390","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016305601","display_name":"X H Xiao","orcid":"https://orcid.org/0009-0009-4268-4336"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin-Yu Xiao","raw_affiliation_strings":["Faculty of Light Industry, Qilu University of Technology (Shandong Academy of Sciences), China"],"raw_orcid":"https://orcid.org/0009-0009-4268-4336","affiliations":[{"raw_affiliation_string":"Faculty of Light Industry, Qilu University of Technology (Shandong Academy of Sciences), China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102840213","display_name":"Man Yang","orcid":"https://orcid.org/0009-0003-2008-7959"},"institutions":[{"id":"https://openalex.org/I165859042","display_name":"Huaibei Normal University","ror":"https://ror.org/03ek23472","country_code":"CN","type":"education","lineage":["https://openalex.org/I165859042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Man Yang","raw_affiliation_strings":["School of Mathematical Sciences, Huaibei Normal University, China"],"raw_orcid":"https://orcid.org/0009-0003-2008-7959","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Huaibei Normal University, China","institution_ids":["https://openalex.org/I165859042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015195637","display_name":"Yaqi Huang","orcid":"https://orcid.org/0009-0003-9411-2993"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaqi Huang","raw_affiliation_strings":["Faculty of Light Industry, Qilu University of Technology (Shandong Academy of Sciences), China"],"raw_orcid":"https://orcid.org/0009-0003-9411-2993","affiliations":[{"raw_affiliation_string":"Faculty of Light Industry, Qilu University of Technology (Shandong Academy of Sciences), China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103034683","display_name":"L. Zhang","orcid":"https://orcid.org/0009-0004-5645-3452"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longhui Zhang","raw_affiliation_strings":["Faculty of Light Industry, Qilu University of Technology (Shandong Academy of Sciences), China"],"raw_orcid":"https://orcid.org/0009-0004-5645-3452","affiliations":[{"raw_affiliation_string":"Faculty of Light Industry, Qilu University of Technology (Shandong Academy of Sciences), China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039420160","display_name":"Qinjing Wang","orcid":"https://orcid.org/0009-0001-1199-3613"},"institutions":[{"id":"https://openalex.org/I40179345","display_name":"Odes\u0430 Polytechnic National University","ror":"https://ror.org/05xaz0w84","country_code":"UA","type":"education","lineage":["https://openalex.org/I40179345"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Qianqi Wang","raw_affiliation_strings":["Department of Applied Mathematics and Information Technologies, Odessa National Polytechnic University, Ukraine"],"raw_orcid":"https://orcid.org/0009-0001-1199-3613","affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics and Information Technologies, Odessa National Polytechnic University, Ukraine","institution_ids":["https://openalex.org/I40179345"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0052,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.7620031,"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":"80","last_page":"85"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10750","display_name":"Fermentation and Sensory Analysis","score":0.991100013256073,"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/T10750","display_name":"Fermentation and Sensory Analysis","score":0.991100013256073,"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"}},{"id":"https://openalex.org/T11796","display_name":"Horticultural and Viticultural Research","score":0.989799976348877,"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/T12399","display_name":"Wine Industry and Tourism","score":0.9692999720573425,"subfield":{"id":"https://openalex.org/subfields/1409","display_name":"Tourism, Leisure and Hospitality Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wine","display_name":"Wine","score":0.9749964475631714},{"id":"https://openalex.org/keywords/winemaking","display_name":"Winemaking","score":0.9093000888824463},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6826714277267456},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.6655339002609253},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4756609797477722},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.46675562858581543},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43300861120224},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.41004183888435364},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3745308518409729},{"id":"https://openalex.org/keywords/food-science","display_name":"Food science","score":0.05816197395324707}],"concepts":[{"id":"https://openalex.org/C55952523","wikidata":"https://www.wikidata.org/wiki/Q3014419","display_name":"Wine","level":2,"score":0.9749964475631714},{"id":"https://openalex.org/C2779737534","wikidata":"https://www.wikidata.org/wiki/Q213376","display_name":"Winemaking","level":3,"score":0.9093000888824463},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6826714277267456},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6655339002609253},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4756609797477722},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.46675562858581543},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43300861120224},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.41004183888435364},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3745308518409729},{"id":"https://openalex.org/C31903555","wikidata":"https://www.wikidata.org/wiki/Q1637030","display_name":"Food science","level":1,"score":0.05816197395324707},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3627377.3627390","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627377.3627390","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3627377.3627390","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 6th International Conference on Big Data Technologies","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3627377.3627390","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627377.3627390","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3627377.3627390","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 6th International Conference on Big Data Technologies","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389314652.pdf","grobid_xml":"https://content.openalex.org/works/W4389314652.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W2103459159","https://openalex.org/W2495615558","https://openalex.org/W3033321461","https://openalex.org/W3110254184","https://openalex.org/W3138785418","https://openalex.org/W4210666814","https://openalex.org/W4230674625","https://openalex.org/W4300529821","https://openalex.org/W4393038835","https://openalex.org/W6765356680"],"related_works":["https://openalex.org/W2498702029","https://openalex.org/W2494181225","https://openalex.org/W1966302418","https://openalex.org/W2119505029","https://openalex.org/W70164498","https://openalex.org/W2014881631","https://openalex.org/W4220728764","https://openalex.org/W2970831404","https://openalex.org/W4389314652","https://openalex.org/W4389471892"],"abstract_inverted_index":{"The":[0,65,84],"quality":[1,23,46,105],"control":[2],"and":[3,28,35,50,63,73],"classification":[4],"of":[5,12,47,77,93],"wine":[6,22,26,49,101],"during":[7,24],"the":[8,45,75,78],"winemaking":[9],"process":[10],"are":[11],"great":[13],"importance.":[14],"Therefore,":[15],"wineries":[16],"must":[17],"obtain":[18],"information":[19],"related":[20],"to":[21,55],"red":[25,48],"fermentation":[27],"aging":[29],"through":[30],"a":[31],"fast,":[32],"simple,":[33],"accurate,":[34],"economical":[36],"approach.":[37],"In":[38],"this":[39],"research":[40],"paper,":[41],"we":[42],"focus":[43],"on":[44],"have":[51],"taken":[52],"various":[53],"measures":[54],"evaluate":[56],"our":[57,88],"proposed":[58,79],"framework,":[59],"such":[60],"as":[61],"accuracy":[62,72,92],"sensitivity.":[64],"introduced":[66],"LGBM":[67],"model":[68],"significantly":[69],"improves":[70],"prediction":[71],"compares":[74],"performance":[76],"framework":[80,89],"with":[81],"existing":[82],"literature.":[83],"results":[85],"show":[86],"that":[87],"achieves":[90],"an":[91],"81.5%,":[94],"surpassing":[95],"previous":[96],"works.":[97],"This":[98],"will":[99],"aid":[100],"manufacturers":[102],"in":[103],"controlling":[104],"before":[106],"producing":[107],"wine.":[108]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}