{"id":"https://openalex.org/W3138295515","doi":"https://doi.org/10.3390/s21062016","title":"Integrating a Low-Cost Electronic Nose and Machine Learning Modelling to Assess Coffee Aroma Profile and Intensity","display_name":"Integrating a Low-Cost Electronic Nose and Machine Learning Modelling to Assess Coffee Aroma Profile and Intensity","publication_year":2021,"publication_date":"2021-03-12","ids":{"openalex":"https://openalex.org/W3138295515","doi":"https://doi.org/10.3390/s21062016","mag":"3138295515","pmid":"https://pubmed.ncbi.nlm.nih.gov/33809248"},"language":"en","primary_location":{"id":"doi:10.3390/s21062016","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21062016","pdf_url":"https://www.mdpi.com/1424-8220/21/6/2016/pdf?version=1616313859","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/6/2016/pdf?version=1616313859","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036304829","display_name":"Claudia Gonzalez Viejo","orcid":"https://orcid.org/0000-0001-9207-9307"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]},{"id":"https://openalex.org/I4210138055","display_name":"Agriculture and Food","ror":"https://ror.org/03n17ds51","country_code":"AU","type":"facility","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4210138055","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Claudia Gonzalez Viejo","raw_affiliation_strings":["Digital Agriculture Food and Wine Group, School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, VIC 3010, Australia"],"raw_orcid":"https://orcid.org/0000-0001-9207-9307","affiliations":[{"raw_affiliation_string":"Digital Agriculture Food and Wine Group, School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, VIC 3010, Australia","institution_ids":["https://openalex.org/I165779595","https://openalex.org/I4210138055"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057098344","display_name":"Eden Tongson","orcid":null},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]},{"id":"https://openalex.org/I4210138055","display_name":"Agriculture and Food","ror":"https://ror.org/03n17ds51","country_code":"AU","type":"facility","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4210138055","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Eden Tongson","raw_affiliation_strings":["Digital Agriculture Food and Wine Group, School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, VIC 3010, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Agriculture Food and Wine Group, School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, VIC 3010, Australia","institution_ids":["https://openalex.org/I165779595","https://openalex.org/I4210138055"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031627534","display_name":"Sigfredo Fuentes","orcid":"https://orcid.org/0000-0002-0377-5085"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]},{"id":"https://openalex.org/I4210138055","display_name":"Agriculture and Food","ror":"https://ror.org/03n17ds51","country_code":"AU","type":"facility","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4210138055","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sigfredo Fuentes","raw_affiliation_strings":["Digital Agriculture Food and Wine Group, School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, VIC 3010, Australia"],"raw_orcid":"https://orcid.org/0000-0002-0377-5085","affiliations":[{"raw_affiliation_string":"Digital Agriculture Food and Wine Group, School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, VIC 3010, Australia","institution_ids":["https://openalex.org/I165779595","https://openalex.org/I4210138055"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036304829"],"corresponding_institution_ids":["https://openalex.org/I165779595","https://openalex.org/I4210138055"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":6.281,"has_fulltext":true,"cited_by_count":106,"citation_normalized_percentile":{"value":0.97552356,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"21","issue":"6","first_page":"2016","last_page":"2016"},"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/T10908","display_name":"Analytical Chemistry and Chromatography","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9829999804496765,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/electronic-nose","display_name":"Electronic nose","score":0.9403208494186401},{"id":"https://openalex.org/keywords/aroma","display_name":"Aroma","score":0.7272765040397644},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6064028739929199},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5668935179710388},{"id":"https://openalex.org/keywords/intensity","display_name":"Intensity (physics)","score":0.5467714667320251},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4993767738342285},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4511505663394928},{"id":"https://openalex.org/keywords/odor","display_name":"Odor","score":0.44326362013816833},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4184717833995819},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37551993131637573},{"id":"https://openalex.org/keywords/process-engineering","display_name":"Process engineering","score":0.33233916759490967},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.285388708114624},{"id":"https://openalex.org/keywords/food-science","display_name":"Food science","score":0.20499452948570251},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.1960730254650116}],"concepts":[{"id":"https://openalex.org/C23895516","wikidata":"https://www.wikidata.org/wiki/Q550092","display_name":"Electronic nose","level":2,"score":0.9403208494186401},{"id":"https://openalex.org/C2780563676","wikidata":"https://www.wikidata.org/wiki/Q1758872","display_name":"Aroma","level":2,"score":0.7272765040397644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6064028739929199},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5668935179710388},{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.5467714667320251},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4993767738342285},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4511505663394928},{"id":"https://openalex.org/C2778916471","wikidata":"https://www.wikidata.org/wiki/Q485537","display_name":"Odor","level":2,"score":0.44326362013816833},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4184717833995819},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37551993131637573},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.33233916759490967},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.285388708114624},{"id":"https://openalex.org/C31903555","wikidata":"https://www.wikidata.org/wiki/Q1637030","display_name":"Food science","level":1,"score":0.20499452948570251},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.1960730254650116},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/s21062016","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21062016","pdf_url":"https://www.mdpi.com/1424-8220/21/6/2016/pdf?version=1616313859","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:33809248","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33809248","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:jupiter.its.unimelb.edu.au:11343/274494","is_oa":true,"landing_page_url":"http://hdl.handle.net/11343/274494","pdf_url":"http://hdl.handle.net/11343/274494","source":{"id":"https://openalex.org/S4377196259","display_name":"Minerva Access (University of Melbourne)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165779595","host_organization_name":"The University of Melbourne","host_organization_lineage":["https://openalex.org/I165779595"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:5f8fc47dcabe4afca301d3bd3414da06","is_oa":true,"landing_page_url":"https://doaj.org/article/5f8fc47dcabe4afca301d3bd3414da06","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 21, Iss 6, p 2016 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/6/2016/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21062016","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 21; Issue 6; Pages: 2016","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7998415","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7998415","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21062016","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21062016","pdf_url":"https://www.mdpi.com/1424-8220/21/6/2016/pdf?version=1616313859","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320974","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3138295515.pdf","grobid_xml":"https://content.openalex.org/works/W3138295515.grobid-xml"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W1727290854","https://openalex.org/W1836528447","https://openalex.org/W1944853557","https://openalex.org/W1973430178","https://openalex.org/W1985988305","https://openalex.org/W1992933031","https://openalex.org/W1996398112","https://openalex.org/W1997082874","https://openalex.org/W2002942291","https://openalex.org/W2024285420","https://openalex.org/W2032800362","https://openalex.org/W2032932683","https://openalex.org/W2040912130","https://openalex.org/W2043228294","https://openalex.org/W2061871144","https://openalex.org/W2063245357","https://openalex.org/W2067640768","https://openalex.org/W2084775963","https://openalex.org/W2092503730","https://openalex.org/W2095705004","https://openalex.org/W2285748692","https://openalex.org/W2325677278","https://openalex.org/W2331471993","https://openalex.org/W2402865653","https://openalex.org/W2573028232","https://openalex.org/W2610765550","https://openalex.org/W2726173509","https://openalex.org/W2736801335","https://openalex.org/W2754186640","https://openalex.org/W2766390436","https://openalex.org/W2771888471","https://openalex.org/W2794757393","https://openalex.org/W2795790230","https://openalex.org/W2805795111","https://openalex.org/W2808846707","https://openalex.org/W2887966191","https://openalex.org/W2888748387","https://openalex.org/W2906426977","https://openalex.org/W2907170180","https://openalex.org/W2941066140","https://openalex.org/W2943376168","https://openalex.org/W2958439264","https://openalex.org/W2981545625","https://openalex.org/W2998807167","https://openalex.org/W3009732533","https://openalex.org/W3012214319","https://openalex.org/W3021983841","https://openalex.org/W3029176538","https://openalex.org/W3037241946","https://openalex.org/W3037369291","https://openalex.org/W3038101128","https://openalex.org/W3084012071","https://openalex.org/W3092036991","https://openalex.org/W3095048791","https://openalex.org/W3096355846","https://openalex.org/W3131521736","https://openalex.org/W6638544928","https://openalex.org/W6649740799","https://openalex.org/W6674330103","https://openalex.org/W6780092741"],"related_works":["https://openalex.org/W2056596841","https://openalex.org/W2363686923","https://openalex.org/W1654395363","https://openalex.org/W2349581046","https://openalex.org/W2085677935","https://openalex.org/W2373050638","https://openalex.org/W2080410076","https://openalex.org/W2349517642","https://openalex.org/W863863107","https://openalex.org/W2165641883"],"abstract_inverted_index":{"Aroma":[0],"is":[1,18,44,143,203],"one":[2],"of":[3,81,133,149,178,213],"the":[4,25,60,107,110,117,130,147,162,179,214],"main":[5],"attributes":[6],"that":[7,141],"consumers":[8],"consider":[9],"when":[10],"appreciating":[11],"and":[12,46,63,68,73,122,126,173,189,223],"selecting":[13],"a":[14,66,166,204],"coffee;":[15],"hence":[16],"it":[17,142],"considered":[19],"an":[20],"important":[21],"quality":[22],"trait.":[23],"However,":[24],"most":[26],"common":[27],"methods":[28],"to":[29,51,58,114,128,145,160,193,207,217],"assess":[30],"aroma":[31],"are":[32],"based":[33,101],"on":[34,102],"expensive":[35],"equipment":[36],"or":[37,176],"human":[38],"senses":[39],"through":[40],"sensory":[41],"evaluation,":[42],"which":[43,202],"time-consuming":[45],"requires":[47],"highly":[48],"trained":[49],"assessors":[50],"avoid":[52],"subjectivity.":[53],"Therefore,":[54],"this":[55,78,93],"study":[56],"aimed":[57],"estimate":[59,146],"coffee":[61,84],"intensity":[62,88,148],"aromas":[64,136,164],"using":[65,106],"low-cost":[67,190],"portable":[69],"electronic":[70],"nose":[71],"(e-nose)":[72],"machine":[74,96],"learning":[75,97],"modeling.":[76],"For":[77],"purpose,":[79],"triplicates":[80],"nine":[82],"commercial":[83],"samples":[85,118],"with":[86,151],"different":[87,135],"levels":[89],"were":[90,99,181],"used":[91],"for":[92],"study.":[94],"Two":[95],"models":[98,180],"developed":[100],"artificial":[103],"neural":[104],"networks":[105],"data":[108],"from":[109],"e-nose":[111],"as":[112,157,159],"inputs":[113],"(i)":[115],"classify":[116],"into":[119],"low,":[120],"medium,":[121],"high-intensity":[123],"(Model":[124,137],"1)":[125],"(ii)":[127],"predict":[129,161],"relative":[131],"abundance":[132],"45":[134],"2).":[138],"Results":[139],"showed":[140,192],"possible":[144],"coffees":[150],"high":[152,167],"accuracy":[153],"(98%;":[154],"Model":[155],"1),":[156],"well":[158],"specific":[163],"obtaining":[165],"correlation":[168],"coefficient":[169],"(R":[170],"=":[171],"0.99),":[172],"no":[174],"under-":[175],"over-fitting":[177],"detected.":[182],"The":[183],"proposed":[184],"contactless,":[185],"nondestructive,":[186],"rapid,":[187],"reliable,":[188],"method":[191],"be":[194,208],"effective":[195],"in":[196,200],"evaluating":[197],"volatile":[198],"compounds":[199],"coffee,":[201],"potential":[205],"technique":[206],"applied":[209],"within":[210],"all":[211],"stages":[212],"production":[215],"process":[216],"detect":[218],"any":[219],"undesirable":[220],"characteristics":[221],"on-time":[222],"ensure":[224],"high-quality":[225],"products.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":9}],"updated_date":"2026-05-02T08:42:23.175194","created_date":"2025-10-10T00:00:00"}