{"id":"https://openalex.org/W2970325348","doi":"https://doi.org/10.1109/access.2019.2937599","title":"A Multitask Learning Framework for Multi-Property Detection of Wine","display_name":"A Multitask Learning Framework for Multi-Property Detection of Wine","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2970325348","doi":"https://doi.org/10.1109/access.2019.2937599","mag":"2970325348"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2937599","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2937599","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08813033.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08813033.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075681956","display_name":"Dongbing Yu","orcid":"https://orcid.org/0000-0002-0683-6058"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dongbing Yu","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100723285","display_name":"Xiaoran Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoran Wang","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020413501","display_name":"Huixiang Liu","orcid":"https://orcid.org/0000-0003-3953-0335"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huixiang Liu","raw_affiliation_strings":["School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100706697","display_name":"Yu Gu","orcid":"https://orcid.org/0000-0003-0073-1383"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Gu","raw_affiliation_strings":["Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0073-1383","affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5075681956"],"corresponding_institution_ids":["https://openalex.org/I75390827"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.9967,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.74169311,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"123151","last_page":"123157"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":1.0,"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":1.0,"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"}},{"id":"https://openalex.org/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12321","display_name":"Insect Pheromone Research and Control","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect 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/vintage","display_name":"Vintage","score":0.7771152257919312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7745460867881775},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7588865160942078},{"id":"https://openalex.org/keywords/electronic-nose","display_name":"Electronic nose","score":0.729407787322998},{"id":"https://openalex.org/keywords/wine","display_name":"Wine","score":0.678891658782959},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6528329849243164},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5442193150520325},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5195118188858032},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.4995269775390625},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49663954973220825},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4904336631298065},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4536712169647217}],"concepts":[{"id":"https://openalex.org/C123890144","wikidata":"https://www.wikidata.org/wiki/Q1975981","display_name":"Vintage","level":2,"score":0.7771152257919312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7745460867881775},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7588865160942078},{"id":"https://openalex.org/C23895516","wikidata":"https://www.wikidata.org/wiki/Q550092","display_name":"Electronic nose","level":2,"score":0.729407787322998},{"id":"https://openalex.org/C55952523","wikidata":"https://www.wikidata.org/wiki/Q3014419","display_name":"Wine","level":2,"score":0.678891658782959},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6528329849243164},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5442193150520325},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5195118188858032},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.4995269775390625},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49663954973220825},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4904336631298065},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4536712169647217},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2937599","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2937599","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08813033.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:671c19edbce34ffdb91dcc2f095568c5","is_oa":true,"landing_page_url":"https://doaj.org/article/671c19edbce34ffdb91dcc2f095568c5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 123151-123157 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2937599","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2937599","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08813033.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G560465369","display_name":null,"funder_award_id":"U1501251","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8203667071","display_name":null,"funder_award_id":"61876059","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2970325348.pdf","grobid_xml":"https://content.openalex.org/works/W2970325348.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1802147369","https://openalex.org/W1908962573","https://openalex.org/W1972676459","https://openalex.org/W1995562189","https://openalex.org/W1995957648","https://openalex.org/W2016395588","https://openalex.org/W2016468367","https://openalex.org/W2047470119","https://openalex.org/W2064659950","https://openalex.org/W2071856997","https://openalex.org/W2089468765","https://openalex.org/W2128728535","https://openalex.org/W2142347750","https://openalex.org/W2188183693","https://openalex.org/W2246035736","https://openalex.org/W2333864475","https://openalex.org/W2407776548","https://openalex.org/W2509933290","https://openalex.org/W2532411821","https://openalex.org/W2554876499","https://openalex.org/W2581311652","https://openalex.org/W2583037105","https://openalex.org/W2604034108","https://openalex.org/W2740144340","https://openalex.org/W2757700038","https://openalex.org/W2768552973","https://openalex.org/W2773405722","https://openalex.org/W2792787246","https://openalex.org/W2903989726","https://openalex.org/W2906426977","https://openalex.org/W2911586173","https://openalex.org/W2913340405","https://openalex.org/W2919115771","https://openalex.org/W2963377935","https://openalex.org/W3099514962","https://openalex.org/W4254287890","https://openalex.org/W6713582272","https://openalex.org/W6729607646"],"related_works":["https://openalex.org/W2258987358","https://openalex.org/W3010035831","https://openalex.org/W2350838561","https://openalex.org/W2370626147","https://openalex.org/W2047470119","https://openalex.org/W1990028874","https://openalex.org/W3205922199","https://openalex.org/W2002911122","https://openalex.org/W1986212116","https://openalex.org/W2979520191"],"abstract_inverted_index":{"The":[0],"electronic":[1],"nose":[2],"(E-nose)":[3],"is":[4],"a":[5,10,48],"bionic":[6],"olfactory":[7],"system":[8],"and":[9,18,43,53,101,109,123,126],"powerful":[11],"tool":[12],"in":[13,103],"many":[14],"fields.":[15],"Sample":[16],"classification":[17],"parameter":[19],"prediction":[20],"are":[21],"the":[22,26,60,65,86,92,114,118],"core":[23],"functions":[24],"of":[25,35,64,97],"E-nose.":[27],"We":[28],"present":[29],"two":[30],"algorithms":[31,72],"for":[32],"simultaneous":[33],"recognition":[34],"four":[36,66],"properties":[37],"(wine":[38],"region,":[39,106],"grape":[40],"variety,":[41],"vintage,":[42,108],"fermentation":[44,110],"processes)":[45],"based":[46,88],"on":[47,89],"back-propagation":[49],"neural":[50,55],"network":[51,56],"(BPNN)":[52],"convolutional":[54],"(CNN),":[57],"respectively,":[58],"where":[59],"tasks":[61,76],"(i.e.,":[62],"identification":[63],"properties)":[67],"share":[68],"underlying":[69],"features.":[70],"These":[71],"exploited":[73],"synergy":[74],"among":[75],"to":[77],"enhance":[78],"their":[79],"individual":[80],"performance.":[81],"Experimental":[82],"results":[83,115],"show":[84],"that":[85,117],"model":[87],"BPNN":[90],"achieved":[91],"best":[93],"performance":[94],"with":[95],"accuracies":[96],"94.5%,":[98],"83.7%,":[99],"75.1%,":[100],"76.9%":[102],"identifying":[104],"wine":[105],"grape,":[107],"processes,":[111],"respectively.":[112],"Furthermore,":[113],"reveal":[116],"models":[119],"can":[120],"capture":[121],"global":[122],"local":[124],"information":[125],"perform":[127],"better":[128],"than":[129],"single-task":[130],"models.":[131]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-31T08:46:17.908082","created_date":"2025-10-10T00:00:00"}