{"id":"https://openalex.org/W3202465598","doi":"https://doi.org/10.3390/s21196354","title":"Computer Vision and Machine Learning Analysis of Commercial Rice Grains: A Potential Digital Approach for Consumer Perception Studies","display_name":"Computer Vision and Machine Learning Analysis of Commercial Rice Grains: A Potential Digital Approach for Consumer Perception Studies","publication_year":2021,"publication_date":"2021-09-23","ids":{"openalex":"https://openalex.org/W3202465598","doi":"https://doi.org/10.3390/s21196354","mag":"3202465598","pmid":"https://pubmed.ncbi.nlm.nih.gov/34640673"},"language":"en","primary_location":{"id":"doi:10.3390/s21196354","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21196354","pdf_url":"https://www.mdpi.com/1424-8220/21/19/6354/pdf?version=1632725741","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/1424-8220/21/19/6354/pdf?version=1632725741","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080533442","display_name":"Aimi Athirah Aznan","orcid":"https://orcid.org/0000-0002-4764-0895"},"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"]},{"id":"https://openalex.org/I65079550","display_name":"Universiti Malaysia Perlis","ror":"https://ror.org/00xmkb790","country_code":"MY","type":"education","lineage":["https://openalex.org/I65079550"]}],"countries":["AU","MY"],"is_corresponding":false,"raw_author_name":"Aimi Aznan","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","Faculty of Chemical Engineering Technology, University Malaysia Perlis, Arau 02600, Perlis, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-4764-0895","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/I4210138055","https://openalex.org/I165779595"]},{"raw_affiliation_string":"Faculty of Chemical Engineering Technology, University Malaysia Perlis, Arau 02600, Perlis, Malaysia","institution_ids":["https://openalex.org/I65079550"]}]},{"author_position":"middle","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":false,"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/I4210138055","https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068838448","display_name":"Alexis Pang","orcid":"https://orcid.org/0000-0003-3929-3456"},"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":"Alexis Pang","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/0000-0003-3929-3456","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/I4210138055","https://openalex.org/I165779595"]}]},{"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":true,"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/I4210138055","https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5031627534"],"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":3.423,"has_fulltext":true,"cited_by_count":49,"citation_normalized_percentile":{"value":0.93157805,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"21","issue":"19","first_page":"6354","last_page":"6354"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9986000061035156,"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":0.9986000061035156,"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/T13142","display_name":"GABA and Rice Research","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9567999839782715,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6683164834976196},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5542876124382019},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4987635612487793},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4898175895214081},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.392424613237381}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6683164834976196},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5542876124382019},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4987635612487793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4898175895214081},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.392424613237381}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003201","descriptor_name":"Computers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003201","descriptor_name":"Computers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003201","descriptor_name":"Computers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010465","descriptor_name":"Perception","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010465","descriptor_name":"Perception","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010465","descriptor_name":"Perception","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012275","descriptor_name":"Oryza","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012275","descriptor_name":"Oryza","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012275","descriptor_name":"Oryza","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":6,"locations":[{"id":"doi:10.3390/s21196354","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21196354","pdf_url":"https://www.mdpi.com/1424-8220/21/19/6354/pdf?version=1632725741","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:34640673","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34640673","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:fa23a28319ea48d5b3a1ac0e6802324f","is_oa":true,"landing_page_url":"https://doaj.org/article/fa23a28319ea48d5b3a1ac0e6802324f","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 19, p 6354 (2021)","raw_type":"article"},{"id":"pmh:oai:jupiter.its.unimelb.edu.au:11343/289829","is_oa":true,"landing_page_url":"http://hdl.handle.net/11343/289829","pdf_url":null,"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:mdpi.com:/1424-8220/21/19/6354/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21196354","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 19; Pages: 6354","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8513047","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8513047","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/s21196354","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21196354","pdf_url":"https://www.mdpi.com/1424-8220/21/19/6354/pdf?version=1632725741","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":"Industry, innovation and infrastructure","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320974","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3202465598.pdf"},"referenced_works_count":72,"referenced_works":["https://openalex.org/W1572268086","https://openalex.org/W1911842519","https://openalex.org/W1969061498","https://openalex.org/W2018757648","https://openalex.org/W2039582313","https://openalex.org/W2045403446","https://openalex.org/W2048100860","https://openalex.org/W2062647005","https://openalex.org/W2064185322","https://openalex.org/W2073852574","https://openalex.org/W2076216887","https://openalex.org/W2089468765","https://openalex.org/W2094543402","https://openalex.org/W2126749905","https://openalex.org/W2128728535","https://openalex.org/W2299043990","https://openalex.org/W2319645939","https://openalex.org/W2337536913","https://openalex.org/W2370824904","https://openalex.org/W2397349486","https://openalex.org/W2516948757","https://openalex.org/W2563984337","https://openalex.org/W2576561369","https://openalex.org/W2590810285","https://openalex.org/W2594113338","https://openalex.org/W2610900215","https://openalex.org/W2643943583","https://openalex.org/W2734970020","https://openalex.org/W2765774222","https://openalex.org/W2775957801","https://openalex.org/W2794757393","https://openalex.org/W2796311927","https://openalex.org/W2808846707","https://openalex.org/W2811448031","https://openalex.org/W2890990011","https://openalex.org/W2895453563","https://openalex.org/W2899237813","https://openalex.org/W2899586638","https://openalex.org/W2899747395","https://openalex.org/W2899842026","https://openalex.org/W2901430737","https://openalex.org/W2904143731","https://openalex.org/W2940999778","https://openalex.org/W2943376168","https://openalex.org/W2961832231","https://openalex.org/W2965948439","https://openalex.org/W2969854835","https://openalex.org/W2986559165","https://openalex.org/W2988602110","https://openalex.org/W2991586141","https://openalex.org/W2994297315","https://openalex.org/W3017390625","https://openalex.org/W3021983841","https://openalex.org/W3030910515","https://openalex.org/W3042410193","https://openalex.org/W3081540069","https://openalex.org/W3093489445","https://openalex.org/W3103493171","https://openalex.org/W3107896460","https://openalex.org/W3107901944","https://openalex.org/W3110979819","https://openalex.org/W3119137326","https://openalex.org/W3180244043","https://openalex.org/W3197141273","https://openalex.org/W3197360959","https://openalex.org/W4212966129","https://openalex.org/W4229828485","https://openalex.org/W4230304767","https://openalex.org/W6674131450","https://openalex.org/W6746597119","https://openalex.org/W6757326010","https://openalex.org/W6761755344"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4313488044","https://openalex.org/W3209574120","https://openalex.org/W4312192474","https://openalex.org/W2033914206"],"abstract_inverted_index":{"Rice":[0],"quality":[1,26],"assessment":[2],"is":[3],"essential":[4],"for":[5,140],"meeting":[6],"high-quality":[7],"standards":[8],"and":[9,18,37,51,93,135,143,176],"consumer":[10,195],"demands.":[11],"However,":[12],"challenges":[13],"remain":[14],"in":[15,161,192],"developing":[16],"cost-effective":[17],"rapid":[19],"techniques":[20],"to":[21,41,78,100],"assess":[22],"commercial":[23,43,84],"rice":[24,44,80,85,166,193],"grain":[25],"traits.":[27],"This":[28],"paper":[29],"presents":[30],"the":[31,88,111,118,124,141,162,165,171,186],"application":[32],"of":[33,123,151,164,173,188],"computer":[34],"vision":[35],"(CV)":[36],"machine":[38],"learning":[39],"(ML)":[40],"classify":[42,79],"samples":[45,81],"based":[46],"on":[47,95],"dimensionless":[48],"morphometric":[49],"parameters":[50,53,77],"color":[52],"extracted":[54],"using":[55,74,117],"CV":[56],"algorithms":[57],"from":[58,62],"digital":[59],"images":[60],"obtained":[61,116],"a":[63,96],"smartphone":[64],"camera.":[65],"The":[66,168],"artificial":[67],"neural":[68],"network":[69],"(ANN)":[70],"model":[71],"was":[72,115],"developed":[73],"nine":[75],"morpho-colorimetric":[76,190],"into":[82],"15":[83],"types.":[86],"Furthermore,":[87],"ANN":[89,125],"models":[90],"were":[91],"deployed":[92],"evaluated":[94],"different":[97,106,189],"imaging":[98],"system":[99],"simulate":[101],"their":[102],"practical":[103],"applications":[104],"under":[105],"conditions.":[107],"Results":[108],"showed":[109,157],"that":[110],"best":[112],"classification":[113,163],"accuracy":[114,150,159],"Bayesian":[119],"Regularization":[120],"(BR)":[121],"algorithm":[122],"with":[126,147,194],"ten":[127],"hidden":[128],"neurons":[129],"at":[130],"91.6%":[131],"(MSE":[132,137],"=":[133,138],"<0.01)":[134],"88.5%":[136],"0.01)":[139],"training":[142],"testing":[144],"stages,":[145],"respectively,":[146],"an":[148],"overall":[149],"90.7%":[152],"(Model":[153],"2).":[154],"Deployment":[155],"also":[156],"high":[158],"(93.9%)":[160],"samples.":[167],"adoption":[169],"by":[170],"industry":[172],"rapid,":[174],"reliable,":[175],"accurate":[177],"methods,":[178],"such":[179],"as":[180],"those":[181],"presented":[182],"here,":[183],"may":[184],"allow":[185],"incorporation":[187],"traits":[191],"perception":[196],"studies.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":8}],"updated_date":"2026-01-15T23:16:33.117629","created_date":"2025-10-10T00:00:00"}