{"id":"https://openalex.org/W2987258868","doi":"https://doi.org/10.3390/s19225033","title":"Classification and Identification of Industrial Gases Based on Electronic Nose Technology","display_name":"Classification and Identification of Industrial Gases Based on Electronic Nose Technology","publication_year":2019,"publication_date":"2019-11-18","ids":{"openalex":"https://openalex.org/W2987258868","doi":"https://doi.org/10.3390/s19225033","mag":"2987258868","pmid":"https://pubmed.ncbi.nlm.nih.gov/31752238"},"language":"en","primary_location":{"id":"doi:10.3390/s19225033","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19225033","pdf_url":"https://www.mdpi.com/1424-8220/19/22/5033/pdf?version=1574250472","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/1424-8220/19/22/5033/pdf?version=1574250472","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100712362","display_name":"Hui Li","orcid":"https://orcid.org/0000-0002-3800-5435"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Li","raw_affiliation_strings":["School of Information and Engineering, Guangdong University of Technology, Guangzhou 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Engineering, Guangdong University of Technology, Guangzhou 510006, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006865706","display_name":"Dehan Luo","orcid":"https://orcid.org/0000-0002-8111-3140"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dehan Luo","raw_affiliation_strings":["School of Information and Engineering, Guangdong University of Technology, Guangzhou 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Engineering, Guangdong University of Technology, Guangzhou 510006, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109374594","display_name":"Yunlong Sun","orcid":"https://orcid.org/0009-0002-0885-6455"},"institutions":[{"id":"https://openalex.org/I21741975","display_name":"Suzhou University of Technology","ror":"https://ror.org/05g6ben79","country_code":"CN","type":"education","lineage":["https://openalex.org/I21741975"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunlong Sun","raw_affiliation_strings":["School of Electric and Automatic Engineering, Changshu Institute of Technology, Changshu 215500, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electric and Automatic Engineering, Changshu Institute of Technology, Changshu 215500, China","institution_ids":["https://openalex.org/I21741975"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034868132","display_name":"Hamid GholamHosseini","orcid":"https://orcid.org/0000-0002-0135-2687"},"institutions":[{"id":"https://openalex.org/I39854758","display_name":"Auckland University of Technology","ror":"https://ror.org/01zvqw119","country_code":"NZ","type":"education","lineage":["https://openalex.org/I39854758"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Hamid GholamHosseini","raw_affiliation_strings":["School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand","institution_ids":["https://openalex.org/I39854758"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109374594"],"corresponding_institution_ids":["https://openalex.org/I21741975"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.6592,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.6458595,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"19","issue":"22","first_page":"5033","last_page":"5033"},"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":0.9865999817848206,"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/T10461","display_name":"Gas Sensing Nanomaterials and Sensors","score":0.9793000221252441,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/electronic-nose","display_name":"Electronic nose","score":0.9751449823379517},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7845348119735718},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.7586138248443604},{"id":"https://openalex.org/keywords/kernel-fisher-discriminant-analysis","display_name":"Kernel Fisher discriminant analysis","score":0.6967761516571045},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6813887357711792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6629477739334106},{"id":"https://openalex.org/keywords/industrial-gas","display_name":"Industrial gas","score":0.5583138465881348},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5068715214729309},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.4902856647968292},{"id":"https://openalex.org/keywords/discriminant-function-analysis","display_name":"Discriminant function analysis","score":0.4451853632926941},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.4285566210746765},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.42473796010017395},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38616421818733215},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.35718095302581787},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3344535827636719},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3200228214263916},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2851477861404419},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.23682618141174316},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2201825976371765},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.07110586762428284}],"concepts":[{"id":"https://openalex.org/C23895516","wikidata":"https://www.wikidata.org/wiki/Q550092","display_name":"Electronic nose","level":2,"score":0.9751449823379517},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7845348119735718},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.7586138248443604},{"id":"https://openalex.org/C181367576","wikidata":"https://www.wikidata.org/wiki/Q6394184","display_name":"Kernel Fisher discriminant analysis","level":4,"score":0.6967761516571045},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6813887357711792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6629477739334106},{"id":"https://openalex.org/C83544830","wikidata":"https://www.wikidata.org/wiki/Q4456821","display_name":"Industrial gas","level":3,"score":0.5583138465881348},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5068715214729309},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.4902856647968292},{"id":"https://openalex.org/C41771347","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Discriminant function analysis","level":2,"score":0.4451853632926941},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.4285566210746765},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.42473796010017395},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38616421818733215},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.35718095302581787},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3344535827636719},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3200228214263916},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2851477861404419},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.23682618141174316},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2201825976371765},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.07110586762428284},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2987684023","wikidata":"https://www.wikidata.org/wiki/Q193470","display_name":"Gas turbines","level":2,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/s19225033","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19225033","pdf_url":"https://www.mdpi.com/1424-8220/19/22/5033/pdf?version=1574250472","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:31752238","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31752238","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:openrepository.aut.ac.nz:10292/14037","is_oa":true,"landing_page_url":"https://hdl.handle.net/10292/14037","pdf_url":"https://openrepository.aut.ac.nz/bitstreams/3644d46d-a7ee-4440-8fb4-d9977fd40225/download","source":{"id":"https://openalex.org/S4306401809","display_name":"Tuwhera (Auckland University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39854758","host_organization_name":"Auckland University of Technology","host_organization_lineage":["https://openalex.org/I39854758"],"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":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:6891334","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6891334","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:92fd4583be484213b28aa4f850084960","is_oa":true,"landing_page_url":"https://doaj.org/article/92fd4583be484213b28aa4f850084960","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 19, Iss 22, p 5033 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/19/22/5033/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s19225033","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","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s19225033","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19225033","pdf_url":"https://www.mdpi.com/1424-8220/19/22/5033/pdf?version=1574250472","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","id":"https://metadata.un.org/sdg/10","score":0.5600000023841858}],"awards":[{"id":"https://openalex.org/G5239948167","display_name":null,"funder_award_id":"2017A010101032","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5277798209","display_name":"\u57fa\u4e8e\u4eff\u751f\u55c5\u89c9\u7684\u7269\u8d28\u6c14\u5473\u55c5\u9891\u63d0\u53d6\u53ca\u590d\u73b0\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61571140","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7059695490","display_name":null,"funder_award_id":"2017A010101032","funder_id":"https://openalex.org/F4320324202","funder_display_name":"Guangdong Science and Technology Department"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324202","display_name":"Guangdong Science and Technology Department","ror":"https://ror.org/00tjzgn92"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2987258868.pdf","grobid_xml":"https://content.openalex.org/works/W2987258868.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1017931487","https://openalex.org/W1542528701","https://openalex.org/W1978732408","https://openalex.org/W1982259356","https://openalex.org/W2004995369","https://openalex.org/W2051402402","https://openalex.org/W2066992433","https://openalex.org/W2071856997","https://openalex.org/W2076365673","https://openalex.org/W2099238843","https://openalex.org/W2101241722","https://openalex.org/W2103399824","https://openalex.org/W2143952347","https://openalex.org/W2161905890","https://openalex.org/W2166858657","https://openalex.org/W2278434696","https://openalex.org/W2306230853","https://openalex.org/W2410603697","https://openalex.org/W2517466686","https://openalex.org/W2519662888","https://openalex.org/W2521246563","https://openalex.org/W2538349044","https://openalex.org/W2560266500","https://openalex.org/W2589862793","https://openalex.org/W2742766898","https://openalex.org/W2762884446","https://openalex.org/W2771576793","https://openalex.org/W2790331859","https://openalex.org/W2794068363","https://openalex.org/W2799555258","https://openalex.org/W2802813814","https://openalex.org/W2886730220","https://openalex.org/W2888171707","https://openalex.org/W2890640695","https://openalex.org/W2893614802","https://openalex.org/W2893999840","https://openalex.org/W2907380805","https://openalex.org/W2910135719","https://openalex.org/W2912978393","https://openalex.org/W2922374515","https://openalex.org/W2941954537","https://openalex.org/W2945450615","https://openalex.org/W2946898181","https://openalex.org/W2954041003","https://openalex.org/W2979962123","https://openalex.org/W6763130308"],"related_works":["https://openalex.org/W1980987999","https://openalex.org/W2168277226","https://openalex.org/W2382466193","https://openalex.org/W1607829095","https://openalex.org/W2375053148","https://openalex.org/W1967057085","https://openalex.org/W3033319502","https://openalex.org/W1982817239","https://openalex.org/W2046363782","https://openalex.org/W2987258868"],"abstract_inverted_index":{"Rapid":[0],"detection":[1],"and":[2,16,78,96,122,159],"identification":[3,61],"of":[4,39,53,91,109,115,125,148],"industrial":[5,34,42],"gases":[6,43,56],"is":[7],"a":[8,13,22,98,105],"challenging":[9],"problem.":[10],"They":[11],"have":[12],"complex":[14],"composition":[15],"different":[17,63],"specifications.":[18],"This":[19],"paper":[20],"presents":[21],"method":[23],"based":[24],"on":[25],"the":[26,54,89,92,113,116,123,140,146,151,155,160],"kernel":[27,117],"discriminant":[28,72],"analysis":[29,69,73],"(KDA)":[30],"algorithm":[31,103,153],"to":[32,82],"identify":[33],"gases.":[35],"The":[36,50,101],"smell":[37],"prints":[38],"four":[40],"typical":[41],"were":[44,57],"collected":[45,55],"by":[46,111],"an":[47],"electronic":[48],"nose.":[49],"extracted":[51],"features":[52],"employed":[58],"for":[59],"gas":[60],"using":[62,143],"classification":[64,85,107],"algorithms,":[65],"including":[66],"principal":[67],"component":[68],"(PCA),":[70],"linear":[71],"(LDA),":[74],"PCA":[75],"+":[76],"LDA,":[77],"KDA.":[79],"In":[80,145],"order":[81],"obtain":[83],"better":[84],"results,":[86],"we":[87],"reduced":[88],"dimensions":[90],"original":[93],"high-dimensional":[94],"data,":[95],"chose":[97],"good":[99],"classifier.":[100],"KDA":[102,152],"provided":[104],"high":[106],"accuracy":[108,135],"100%":[110],"selecting":[112],"offset":[114],"function":[118],"c":[119],"=":[120,128],"10":[121],"degree":[124],"freedom":[126],"d":[127],"5.":[129],"It":[130],"was":[131,136],"found":[132],"that":[133],"this":[134],"4.17%":[137],"higher":[138],"than":[139],"one":[141],"obtained":[142],"PCA.":[144],"case":[147],"standard":[149],"deviation,":[150],"has":[154],"highest":[156],"recognition":[157],"rate":[158],"least":[161],"time":[162],"consumption.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}
