{"id":"https://openalex.org/W3119079932","doi":"https://doi.org/10.3390/s21020361","title":"A Comparison of Various Algorithms for Classification of Food Scents Measured with an Ion Mobility Spectrometry","display_name":"A Comparison of Various Algorithms for Classification of Food Scents Measured with an Ion Mobility Spectrometry","publication_year":2021,"publication_date":"2021-01-07","ids":{"openalex":"https://openalex.org/W3119079932","doi":"https://doi.org/10.3390/s21020361","mag":"3119079932","pmid":"https://pubmed.ncbi.nlm.nih.gov/33430310"},"language":"en","primary_location":{"id":"doi:10.3390/s21020361","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21020361","pdf_url":"https://www.mdpi.com/1424-8220/21/2/361/pdf?version=1611035409","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/1424-8220/21/2/361/pdf?version=1611035409","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078311269","display_name":"Georgy Minaev","orcid":"https://orcid.org/0000-0002-9160-8155"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Georgy Minaev","raw_affiliation_strings":["Faculty of Information Technology and Communication Sciences, Tampere University, 33720 Tampere, Finland"],"raw_orcid":"https://orcid.org/0000-0002-9160-8155","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology and Communication Sciences, Tampere University, 33720 Tampere, Finland","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074001626","display_name":"Philipp M\u00fcller","orcid":"https://orcid.org/0000-0003-4314-7339"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Philipp M\u00fcller","raw_affiliation_strings":["Faculty of Information Technology and Communication Sciences, Tampere University, 33720 Tampere, Finland"],"raw_orcid":"https://orcid.org/0000-0003-4314-7339","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology and Communication Sciences, Tampere University, 33720 Tampere, Finland","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031214984","display_name":"Katri Salminen","orcid":"https://orcid.org/0000-0002-0284-7622"},"institutions":[{"id":"https://openalex.org/I150589677","display_name":"Tampere University of Applied Sciences","ror":"https://ror.org/00bwtjf83","country_code":"FI","type":"education","lineage":["https://openalex.org/I150589677"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Katri Salminen","raw_affiliation_strings":["R&D and Innovation Services, Tampere University of Applied Sciences, 33230 Tampere, Finland"],"raw_orcid":"https://orcid.org/0000-0002-0284-7622","affiliations":[{"raw_affiliation_string":"R&D and Innovation Services, Tampere University of Applied Sciences, 33230 Tampere, Finland","institution_ids":["https://openalex.org/I150589677"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076493452","display_name":"Jussi Rantala","orcid":"https://orcid.org/0000-0002-6308-7874"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jussi Rantala","raw_affiliation_strings":["Faculty of Information Technology and Communication Sciences, Tampere University, 33720 Tampere, Finland"],"raw_orcid":"https://orcid.org/0000-0002-6308-7874","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology and Communication Sciences, Tampere University, 33720 Tampere, Finland","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007739229","display_name":"Veikko Surakka","orcid":"https://orcid.org/0000-0003-3986-0713"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Veikko Surakka","raw_affiliation_strings":["Faculty of Information Technology and Communication Sciences, Tampere University, 33720 Tampere, Finland"],"raw_orcid":"https://orcid.org/0000-0003-3986-0713","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology and Communication Sciences, Tampere University, 33720 Tampere, Finland","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063514228","display_name":"Ari Visa","orcid":"https://orcid.org/0000-0002-8895-2879"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Ari Visa","raw_affiliation_strings":["Faculty of Information Technology and Communication Sciences, Tampere University, 33720 Tampere, Finland"],"raw_orcid":"https://orcid.org/0000-0002-8895-2879","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology and Communication Sciences, Tampere University, 33720 Tampere, Finland","institution_ids":["https://openalex.org/I166825849"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078311269"],"corresponding_institution_ids":["https://openalex.org/I166825849"],"apc_list":{"value":2600,"currency":"CHF","value_usd":3137},"apc_paid":{"value":1658,"currency":"EUR","value_usd":1788},"fwci":0.0732,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.30260368,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"21","issue":"2","first_page":"361","last_page":"361"},"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":0.9901999831199646,"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":0.9891999959945679,"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":0.787766695022583},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.6840869784355164},{"id":"https://openalex.org/keywords/quadratic-classifier","display_name":"Quadratic classifier","score":0.6756224632263184},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6557232141494751},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6396012902259827},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6291226148605347},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.616124153137207},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5576759576797485},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.5403857827186584},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4300365447998047},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3940276503562927},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2969297170639038}],"concepts":[{"id":"https://openalex.org/C23895516","wikidata":"https://www.wikidata.org/wiki/Q550092","display_name":"Electronic nose","level":2,"score":0.787766695022583},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.6840869784355164},{"id":"https://openalex.org/C52620605","wikidata":"https://www.wikidata.org/wiki/Q7268357","display_name":"Quadratic classifier","level":3,"score":0.6756224632263184},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6557232141494751},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6396012902259827},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6291226148605347},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.616124153137207},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5576759576797485},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.5403857827186584},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4300365447998047},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3940276503562927},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2969297170639038}],"mesh":[],"locations_count":8,"locations":[{"id":"doi:10.3390/s21020361","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21020361","pdf_url":"https://www.mdpi.com/1424-8220/21/2/361/pdf?version=1611035409","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:33430310","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33430310","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":"Journal Article"},{"id":"pmh:oai:europepmc.org:6732534","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC7825773","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7825773","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7825773","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"},{"id":"pmh:oai:doaj.org/article:7bef15b23977474aa234c2d8897d64e2","is_oa":true,"landing_page_url":"https://doaj.org/article/7bef15b23977474aa234c2d8897d64e2","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":"Sensors, Vol 21, Iss 2, p 361 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/2/361/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21020361","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 2; Pages: 361","raw_type":"Text"},{"id":"pmh:oai:trepo.tuni.fi:10024/219394","is_oa":true,"landing_page_url":"https://trepo.tuni.fi/handle/10024/219394","pdf_url":null,"source":{"id":"https://openalex.org/S4306401860","display_name":"Tampere University Institutional Repository (Tampere University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I150589677","host_organization_name":"Tampere University of Applied Sciences","host_organization_lineage":["https://openalex.org/I150589677"],"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":null,"raw_type":"publishedVersion"},{"id":"pmh:oai:www.theseus.fi:10024/505950","is_oa":true,"landing_page_url":"http://www.theseus.fi/handle/10024/505950","pdf_url":null,"source":{"id":"https://openalex.org/S4306400928","display_name":"Theseus (Ammattikorkeakoulujen)","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"37487","raw_type":"publication"}],"best_oa_location":{"id":"doi:10.3390/s21020361","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21020361","pdf_url":"https://www.mdpi.com/1424-8220/21/2/361/pdf?version=1611035409","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":[{"display_name":"Reduced inequalities","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3119079932.pdf","grobid_xml":"https://content.openalex.org/works/W3119079932.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W195533127","https://openalex.org/W608013677","https://openalex.org/W1491468723","https://openalex.org/W1991910517","https://openalex.org/W1991943151","https://openalex.org/W2008713753","https://openalex.org/W2025740601","https://openalex.org/W2026459068","https://openalex.org/W2035308492","https://openalex.org/W2037353858","https://openalex.org/W2041105792","https://openalex.org/W2048512636","https://openalex.org/W2060315146","https://openalex.org/W2078657695","https://openalex.org/W2105762439","https://openalex.org/W2123072773","https://openalex.org/W2127315047","https://openalex.org/W2153635508","https://openalex.org/W2158169525","https://openalex.org/W2165558283","https://openalex.org/W2274657429","https://openalex.org/W2395199396","https://openalex.org/W2505586275","https://openalex.org/W2560218054","https://openalex.org/W2734832163","https://openalex.org/W2765331162","https://openalex.org/W2770548381","https://openalex.org/W2783492656","https://openalex.org/W2889199334","https://openalex.org/W2899159580","https://openalex.org/W2907491969","https://openalex.org/W2923257562","https://openalex.org/W2948950091","https://openalex.org/W2959500577","https://openalex.org/W2963457189","https://openalex.org/W2999049078","https://openalex.org/W3005423105","https://openalex.org/W3046074258","https://openalex.org/W3111615442","https://openalex.org/W4300958603","https://openalex.org/W6607976765","https://openalex.org/W6648358438","https://openalex.org/W6694400512","https://openalex.org/W6829846596"],"related_works":["https://openalex.org/W2024869860","https://openalex.org/W2391447249","https://openalex.org/W2113454941","https://openalex.org/W2951122819","https://openalex.org/W2094946501","https://openalex.org/W4288315282","https://openalex.org/W1980627576","https://openalex.org/W2411585343","https://openalex.org/W2753804328","https://openalex.org/W2085106164"],"abstract_inverted_index":{"The":[0,55,148,237],"present":[1],"aim":[2],"was":[3,35,80,96],"to":[4,37,173,196,203,256],"compare":[5],"the":[6,69,74,88,99,102,174,204,208,223,227,234,258],"accuracy":[7,62,95],"of":[8,30,76,101,190,222,239,260,263],"several":[9,161],"algorithms":[10],"in":[11,90,142,226],"classifying":[12],"data":[13,176,206,209],"collected":[14],"from":[15,41,47,139],"food":[16,43],"scent":[17,39,44],"samples.":[18,77],"Measurements":[19],"using":[20],"an":[21,48],"electronic":[22],"nose":[23],"(eNose)":[24],"can":[25,242,250],"be":[26,243,252],"used":[27,36,81,244],"for":[28,72,87,245,254],"classification":[29,94],"different":[31,132,162],"scents.":[32],"An":[33],"eNose":[34,118],"measure":[38],"samples":[40],"seven":[42],"sources,":[45],"both":[46,202],"open":[49],"plate":[50],"and":[51,66,128,160,185,207],"a":[52,83],"sealed":[53],"jar.":[54],"k-Nearest":[56],"Neighbour":[57],"(k-NN)":[58],"classifier":[59,122,133],"provides":[60],"reasonable":[61],"under":[63],"certain":[64],"conditions":[65],"uses":[67],"traditionally":[68],"Euclidean":[70,180],"distance":[71,85,107],"measuring":[73],"similarity":[75],"Therefore,":[78],"it":[79],"as":[82],"baseline":[84],"metric":[86],"k-NN":[89,103,178],"this":[91,240],"paper.":[92],"Its":[93],"compared":[97],"with":[98,104,116,179],"accuracies":[100],"66":[105],"alternative":[106],"metrics.":[108],"In":[109],"addition,":[110],"18":[111],"other":[112,141,235],"classifiers":[113],"were":[114,126,135],"tested":[115],"raw":[117,175,197,205,228],"data.":[119,198],"For":[120],"each":[121,140],"various":[123],"parameter":[124,146],"settings":[125],"tried":[127],"compared.":[129],"Overall,":[130],"304":[131],"variations":[134],"tested,":[136],"which":[137],"differed":[138],"at":[143,217],"least":[144,218],"one":[145],"value.":[147],"results":[149],"showed":[150],"that":[151,215],"Quadratic":[152,230],"Discriminant":[153,231],"Analysis,":[154],"MLPClassifier,":[155],"C-Support":[156],"Vector":[157],"Classification":[158],"(SVC),":[159],"single":[163],"hidden":[164],"layer":[165],"Neural":[166],"Networks":[167],"yielded":[168,187],"lower":[169],"misclassification":[170,188],"rates":[171,189],"applied":[172,195,201],"than":[177,192],"distance.":[181],"Both":[182],"MLP":[183],"Classifiers":[184],"SVC":[186],"less":[191],"3%":[193],"when":[194,200],"Furthermore,":[199],"preprocessed":[210],"by":[211],"principal":[212],"component":[213],"analysis":[214],"explained":[216],"95%":[219],"or":[220],"99%":[221],"total":[224],"variance":[225],"data,":[229],"Analysis":[232],"outperformed":[233],"classifiers.":[236],"findings":[238],"study":[241],"further":[246],"algorithm":[247],"development.":[248],"They":[249],"also":[251],"used,":[253],"example,":[255],"improve":[257],"estimation":[259],"storage":[261],"times":[262],"fruit.":[264]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}