{"id":"https://openalex.org/W4206576785","doi":"https://doi.org/10.1109/tim.2022.3142060","title":"Developing a Conditional Variational Autoencoder to Guide Spectral Data Augmentation for Calibration Modeling","display_name":"Developing a Conditional Variational Autoencoder to Guide Spectral Data Augmentation for Calibration Modeling","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4206576785","doi":"https://doi.org/10.1109/tim.2022.3142060"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2022.3142060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3142060","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5054835201","display_name":"Guoqing Mu","orcid":"https://orcid.org/0000-0002-4593-1007"},"institutions":[{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqing Mu","raw_affiliation_strings":["School of Information and Control Engineering, Qingdao University of Technology, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-4593-1007","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, Qingdao University of Technology, Qingdao, China","institution_ids":["https://openalex.org/I44468530"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045957489","display_name":"Junghui Chen","orcid":"https://orcid.org/0000-0002-9994-839X"},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Junghui Chen","raw_affiliation_strings":["Chung Yuan Christian University, Taoyuan, Taiwan","Department of Chemical Engineering, Chung-Yuan Christian University, Taoyuan 32023, Taiwan. (e-mail: jason@wavenet.cycu.edu.tw)"],"raw_orcid":"https://orcid.org/0000-0002-9994-839X","affiliations":[{"raw_affiliation_string":"Chung Yuan Christian University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I151221077"]},{"raw_affiliation_string":"Department of Chemical Engineering, Chung-Yuan Christian University, Taoyuan 32023, Taiwan. (e-mail: jason@wavenet.cycu.edu.tw)","institution_ids":["https://openalex.org/I151221077"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.421,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.8919783,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"71","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9998999834060669,"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/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.9418818950653076},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.7727166414260864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6084772944450378},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5670438408851624},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5397561192512512},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5101950168609619},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4814002513885498},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.479816198348999},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.439603328704834},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4145851731300354},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4057428240776062},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2616922855377197},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15907827019691467}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9418818950653076},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.7727166414260864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6084772944450378},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5670438408851624},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5397561192512512},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5101950168609619},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4814002513885498},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.479816198348999},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.439603328704834},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4145851731300354},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4057428240776062},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2616922855377197},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15907827019691467},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2022.3142060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3142060","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5367135504","display_name":null,"funder_award_id":"MOST 109-2221-E-033-060-MY3","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G5634645463","display_name":"Fault Detection and Diagnosis of Equipment and Control in Cyber-Physical Manufacturing System( I )","funder_award_id":"MOST110-2221-E007-014","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W10980763","https://openalex.org/W1487724874","https://openalex.org/W1959608418","https://openalex.org/W1981610110","https://openalex.org/W2136504847","https://openalex.org/W2556778881","https://openalex.org/W2785390226","https://openalex.org/W2786532017","https://openalex.org/W2799365888","https://openalex.org/W2809598685","https://openalex.org/W2927470685","https://openalex.org/W2944052783","https://openalex.org/W2952229419","https://openalex.org/W2984353870","https://openalex.org/W2997574889","https://openalex.org/W3004874289","https://openalex.org/W3035047425","https://openalex.org/W3091865227","https://openalex.org/W3096276656","https://openalex.org/W3096831136","https://openalex.org/W3111796587","https://openalex.org/W3117430580","https://openalex.org/W3117629641","https://openalex.org/W3123899295","https://openalex.org/W3124057057","https://openalex.org/W6623329352","https://openalex.org/W6640963894","https://openalex.org/W6681096077","https://openalex.org/W6687045409"],"related_works":["https://openalex.org/W4287995534","https://openalex.org/W2998168123","https://openalex.org/W2897995864","https://openalex.org/W2292254049","https://openalex.org/W2592385986","https://openalex.org/W4281924768","https://openalex.org/W3099179464","https://openalex.org/W2772780115","https://openalex.org/W4309838615","https://openalex.org/W4214881770"],"abstract_inverted_index":{"To":[0,54],"deal":[1],"with":[2,62,85],"the":[3,22,32,38,43,51,56,100,105,110,117,131,136,139],"typically":[4],"insufficiently":[5],"labeled":[6,87,107],"samples":[7,59,84],"involved":[8],"in":[9,114],"practical":[10],"spectroscopy":[11],"measurements,":[12],"a":[13,66],"conditional":[14],"variational":[15],"autoencoder":[16],"(CVAE)":[17],"is":[18,34,47,74,95],"proposed":[19,77],"to":[20,36,49],"guide":[21],"spectral":[23],"data":[24],"augmentation":[25,44],"calibration":[26,52],"modeling":[27,61],"method":[28,78],"forin":[29],"situmeasurement.":[30],"First,":[31],"CVAE":[33],"designed":[35],"generate":[37],"virtual":[39,82,102],"spectra":[40,103,108],"such":[41],"that":[42,96,99],"training":[45],"set":[46],"employed":[48],"develop":[50],"model.":[53],"use":[55],"generated":[57,81,101],"unlabeled":[58,83],"for":[60],"online":[63],"measurement":[64],"purposes,":[65],"semi-supervised":[67,120],"ladder":[68],"network":[69],"(S2-LN)-based":[70],"regression":[71],"learning":[72],"model":[73],"developed.":[75],"The":[76],"incorporates":[79],"all":[80],"real":[86,106],"samples.":[88],"An":[89],"important":[90],"advantage":[91],"of":[92,119,130,138],"this":[93],"approach":[94],"it":[97],"ensures":[98,116],"and":[104,126],"are":[109],"same":[111],"distribution,":[112],"which":[113],"turn":[115],"effectiveness":[118,137],"learning.":[121],"A":[122],"numerical":[123],"simulation":[124],"example":[125,129],"an":[127],"experimental":[128],"glucose":[132],"fermentation":[133],"process":[134],"illustrate":[135],"approach.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":3}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}