{"id":"https://openalex.org/W2981435894","doi":"https://doi.org/10.3390/s19214687","title":"Robust Classification of Tea Based on Multi-Channel LED-Induced Fluorescence and a Convolutional Neural Network","display_name":"Robust Classification of Tea Based on Multi-Channel LED-Induced Fluorescence and a Convolutional Neural Network","publication_year":2019,"publication_date":"2019-10-28","ids":{"openalex":"https://openalex.org/W2981435894","doi":"https://doi.org/10.3390/s19214687","mag":"2981435894","pmid":"https://pubmed.ncbi.nlm.nih.gov/31661932"},"language":"en","primary_location":{"id":"doi:10.3390/s19214687","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19214687","pdf_url":"https://www.mdpi.com/1424-8220/19/21/4687/pdf","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/1424-8220/19/21/4687/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067069886","display_name":"Hongze Lin","orcid":"https://orcid.org/0000-0002-1361-0663"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongze Lin","raw_affiliation_strings":["School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China"],"raw_orcid":"https://orcid.org/0000-0002-1361-0663","affiliations":[{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015625724","display_name":"Zejian Li","orcid":"https://orcid.org/0000-0001-5313-2742"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zejian Li","raw_affiliation_strings":["Alibaba-Zhejiang University Joint Institute of Frontier Technologies, Zhejiang University, Hangzhou 310027, China","Zhejiang Key Laboratory of Design and Intelligence and Digital Creativity, College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba-Zhejiang University Joint Institute of Frontier Technologies, Zhejiang University, Hangzhou 310027, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang Key Laboratory of Design and Intelligence and Digital Creativity, College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059582016","display_name":"Huajin Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huajin Lu","raw_affiliation_strings":["Southern Zhejiang key Laboratory of Crop Breeding, Wenzhou Academy of Agricultural Sciences, Wenzhou 325006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern Zhejiang key Laboratory of Crop Breeding, Wenzhou Academy of Agricultural Sciences, Wenzhou 325006, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100961049","display_name":"Shujuan Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shujuan Sun","raw_affiliation_strings":["Wenzhou Specialty Station, Wenzhou 325006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wenzhou Specialty Station, Wenzhou 325006, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046353517","display_name":"Fengnong Chen","orcid":"https://orcid.org/0000-0002-2455-9226"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengnong Chen","raw_affiliation_strings":["School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China"],"raw_orcid":"https://orcid.org/0000-0002-2455-9226","affiliations":[{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009224402","display_name":"Kaihua Wei","orcid":"https://orcid.org/0000-0002-6278-706X"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaihua Wei","raw_affiliation_strings":["School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019796394","display_name":"Dazhou Ming","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dazhou Ming","raw_affiliation_strings":["School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5067069886"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.0215,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.84324581,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"19","issue":"21","first_page":"4687","last_page":"4687"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9976000189781189,"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":0.9976000189781189,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9969000220298767,"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/T11411","display_name":"Tea Polyphenols and Effects","score":0.9771999716758728,"subfield":{"id":"https://openalex.org/subfields/2734","display_name":"Pathology and Forensic Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fluorescence","display_name":"Fluorescence","score":0.7531381845474243},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6951521635055542},{"id":"https://openalex.org/keywords/light-emitting-diode","display_name":"Light-emitting diode","score":0.6502041816711426},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6283397078514099},{"id":"https://openalex.org/keywords/black-tea","display_name":"Black tea","score":0.6226730942726135},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5369505882263184},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5359777808189392},{"id":"https://openalex.org/keywords/near-infrared-spectroscopy","display_name":"Near-infrared spectroscopy","score":0.5019447803497314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46183228492736816},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4612480700016022},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.45605891942977905},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4168066382408142},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.33088403940200806},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.2961721420288086},{"id":"https://openalex.org/keywords/optoelectronics","display_name":"Optoelectronics","score":0.2620161175727844},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.23391154408454895},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.19984489679336548},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.14974981546401978},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1441786289215088},{"id":"https://openalex.org/keywords/food-science","display_name":"Food science","score":0.12968498468399048},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09159618616104126}],"concepts":[{"id":"https://openalex.org/C91881484","wikidata":"https://www.wikidata.org/wiki/Q191807","display_name":"Fluorescence","level":2,"score":0.7531381845474243},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6951521635055542},{"id":"https://openalex.org/C176666156","wikidata":"https://www.wikidata.org/wiki/Q25504","display_name":"Light-emitting diode","level":2,"score":0.6502041816711426},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6283397078514099},{"id":"https://openalex.org/C2992231244","wikidata":"https://www.wikidata.org/wiki/Q203415","display_name":"Black tea","level":2,"score":0.6226730942726135},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5369505882263184},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5359777808189392},{"id":"https://openalex.org/C43571822","wikidata":"https://www.wikidata.org/wiki/Q599037","display_name":"Near-infrared spectroscopy","level":2,"score":0.5019447803497314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46183228492736816},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4612480700016022},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.45605891942977905},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4168066382408142},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.33088403940200806},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.2961721420288086},{"id":"https://openalex.org/C49040817","wikidata":"https://www.wikidata.org/wiki/Q193091","display_name":"Optoelectronics","level":1,"score":0.2620161175727844},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.23391154408454895},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.19984489679336548},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.14974981546401978},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1441786289215088},{"id":"https://openalex.org/C31903555","wikidata":"https://www.wikidata.org/wiki/Q1637030","display_name":"Food science","level":1,"score":0.12968498468399048},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09159618616104126}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s19214687","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19214687","pdf_url":"https://www.mdpi.com/1424-8220/19/21/4687/pdf","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:31661932","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31661932","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:doaj.org/article:44ae27c0610e46158b2c954db4cc1e3e","is_oa":true,"landing_page_url":"https://doaj.org/article/44ae27c0610e46158b2c954db4cc1e3e","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 21, p 4687 (2019)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:5875710","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6864678","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/19/21/4687/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s19214687","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/s19214687","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19214687","pdf_url":"https://www.mdpi.com/1424-8220/19/21/4687/pdf","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":[{"id":"https://openalex.org/G1302253543","display_name":null,"funder_award_id":"61705056","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5071415905","display_name":null,"funder_award_id":"U1609218","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/W2981435894.pdf","grobid_xml":"https://content.openalex.org/works/W2981435894.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W952443953","https://openalex.org/W1556116068","https://openalex.org/W1665214252","https://openalex.org/W1975889315","https://openalex.org/W1998129895","https://openalex.org/W1998511312","https://openalex.org/W2001948755","https://openalex.org/W2004555595","https://openalex.org/W2056154979","https://openalex.org/W2062319943","https://openalex.org/W2078042747","https://openalex.org/W2086916604","https://openalex.org/W2116633644","https://openalex.org/W2297521866","https://openalex.org/W2344017952","https://openalex.org/W2469143091","https://openalex.org/W2500751094","https://openalex.org/W2520829322","https://openalex.org/W2588127136","https://openalex.org/W2592237821","https://openalex.org/W2761917071","https://openalex.org/W2765945736","https://openalex.org/W2802324478","https://openalex.org/W2802396423","https://openalex.org/W2845029121","https://openalex.org/W2911902239","https://openalex.org/W2919674927","https://openalex.org/W2943258573","https://openalex.org/W2946050306","https://openalex.org/W4205164097"],"related_works":["https://openalex.org/W3042595473","https://openalex.org/W2082745643","https://openalex.org/W1975632186","https://openalex.org/W2123219307","https://openalex.org/W2392123845","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W2094234676","https://openalex.org/W2019246264"],"abstract_inverted_index":{"A":[0],"multi-channel":[1],"light":[2,44],"emitting":[3],"diode":[4],"(LED)-induced":[5],"fluorescence":[6,27,56,63],"system":[7,28,145],"combined":[8,102],"with":[9,34,103],"a":[10,54,80,86,110,135,149],"convolutional":[11],"neural":[12],"network":[13],"(CNN)":[14],"analytical":[15],"method":[16],"was":[17,29,106],"proposed":[18,144],"to":[19,40,52,61,78],"classify":[20],"the":[21,72,143],"varieties":[22],"of":[23,116,121,127],"tea":[24,67,123,129,156],"leaves.":[25],"The":[26,46,132],"developed":[30],"employing":[31],"seven":[32],"LEDs":[33,47],"spectra":[35],"ranging":[36],"from":[37,64],"ultra-violet":[38],"(UV)":[39],"blue":[41],"as":[42,109],"excitation":[43],"sources.":[45],"were":[48,69,75,130],"lit":[49],"up":[50],"sequentially":[51],"induce":[53],"respective":[55],"spectrum,":[57],"and":[58,83,124,140,146,152],"their":[59],"ability":[60,95],"excite":[62],"components":[65],"in":[66,96,138],"leaves":[68],"investigated.":[70],"All":[71],"spectral":[73],"data":[74],"merged":[76],"together":[77],"form":[79],"two-dimensional":[81],"matrix":[82],"processed":[84],"by":[85],"CNN":[87],"model,":[88],"which":[89],"is":[90],"famous":[91],"for":[92,112,155],"its":[93],"strong":[94],"pattern":[97],"recognition.":[98],"Principal":[99],"component":[100],"analysis":[101],"k-nearest-neighbor":[104],"classification":[105],"also":[107],"employed":[108],"baseline":[111],"comparison.":[113],"Six":[114],"grades":[115],"green":[117],"tea,":[118],"two":[119],"types":[120],"black":[122],"one":[125],"kind":[126],"white":[128],"verified.":[131],"result":[133],"proved":[134],"significant":[136],"improvement":[137],"accuracy":[139],"showed":[141],"that":[142],"methodology":[147],"provides":[148],"fast,":[150],"compact":[151],"robust":[153],"approach":[154],"classification.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
