{"id":"https://openalex.org/W4313244230","doi":"https://doi.org/10.3390/s23010169","title":"The Development of Symbolic Expressions for Fire Detection with Symbolic Classifier Using Sensor Fusion Data","display_name":"The Development of Symbolic Expressions for Fire Detection with Symbolic Classifier Using Sensor Fusion Data","publication_year":2022,"publication_date":"2022-12-24","ids":{"openalex":"https://openalex.org/W4313244230","doi":"https://doi.org/10.3390/s23010169","pmid":"https://pubmed.ncbi.nlm.nih.gov/36616772"},"language":"en","primary_location":{"id":"doi:10.3390/s23010169","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23010169","pdf_url":"https://www.mdpi.com/1424-8220/23/1/169/pdf?version=1672824167","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/1424-8220/23/1/169/pdf?version=1672824167","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070800868","display_name":"Nikola An\u0111eli\u0107","orcid":"https://orcid.org/0000-0002-0314-243X"},"institutions":[{"id":"https://openalex.org/I154347574","display_name":"University of Rijeka","ror":"https://ror.org/05r8dqr10","country_code":"HR","type":"education","lineage":["https://openalex.org/I154347574"]}],"countries":["HR"],"is_corresponding":true,"raw_author_name":"Nikola An\u0111eli\u0107","raw_affiliation_strings":["Department of Automation and Electronics, Faculty of Engineering, University of Rijeka, 51000 Rijeka, Croatia"],"raw_orcid":"https://orcid.org/0000-0002-0314-243X","affiliations":[{"raw_affiliation_string":"Department of Automation and Electronics, Faculty of Engineering, University of Rijeka, 51000 Rijeka, Croatia","institution_ids":["https://openalex.org/I154347574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054098756","display_name":"Sandi Baressi \u0160egota","orcid":"https://orcid.org/0000-0002-3015-1024"},"institutions":[{"id":"https://openalex.org/I154347574","display_name":"University of Rijeka","ror":"https://ror.org/05r8dqr10","country_code":"HR","type":"education","lineage":["https://openalex.org/I154347574"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Sandi Baressi \u0160egota","raw_affiliation_strings":["Department of Automation and Electronics, Faculty of Engineering, University of Rijeka, 51000 Rijeka, Croatia"],"raw_orcid":"https://orcid.org/0000-0002-3015-1024","affiliations":[{"raw_affiliation_string":"Department of Automation and Electronics, Faculty of Engineering, University of Rijeka, 51000 Rijeka, Croatia","institution_ids":["https://openalex.org/I154347574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078677385","display_name":"Ivan Lorencin","orcid":"https://orcid.org/0000-0002-5964-245X"},"institutions":[{"id":"https://openalex.org/I154347574","display_name":"University of Rijeka","ror":"https://ror.org/05r8dqr10","country_code":"HR","type":"education","lineage":["https://openalex.org/I154347574"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Ivan Lorencin","raw_affiliation_strings":["Department of Automation and Electronics, Faculty of Engineering, University of Rijeka, 51000 Rijeka, Croatia"],"raw_orcid":"https://orcid.org/0000-0002-5964-245X","affiliations":[{"raw_affiliation_string":"Department of Automation and Electronics, Faculty of Engineering, University of Rijeka, 51000 Rijeka, Croatia","institution_ids":["https://openalex.org/I154347574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005957890","display_name":"Zlatan Car","orcid":"https://orcid.org/0000-0003-2817-9252"},"institutions":[{"id":"https://openalex.org/I154347574","display_name":"University of Rijeka","ror":"https://ror.org/05r8dqr10","country_code":"HR","type":"education","lineage":["https://openalex.org/I154347574"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Zlatan Car","raw_affiliation_strings":["Department of Automation and Electronics, Faculty of Engineering, University of Rijeka, 51000 Rijeka, Croatia"],"raw_orcid":"https://orcid.org/0000-0003-2817-9252","affiliations":[{"raw_affiliation_string":"Department of Automation and Electronics, Faculty of Engineering, University of Rijeka, 51000 Rijeka, Croatia","institution_ids":["https://openalex.org/I154347574"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070800868"],"corresponding_institution_ids":["https://openalex.org/I154347574"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.8622,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.83936598,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"23","issue":"1","first_page":"169","last_page":"169"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.977400004863739,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9764000177383423,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fire-detection","display_name":"Fire detection","score":0.7457485795021057},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.563328206539154},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.49739840626716614},{"id":"https://openalex.org/keywords/smoke","display_name":"Smoke","score":0.46827197074890137},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4515090584754944},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.42834991216659546},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4159787893295288},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40174993872642517},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3533626198768616},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3352035880088806},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3278416693210602},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23823696374893188}],"concepts":[{"id":"https://openalex.org/C2780836893","wikidata":"https://www.wikidata.org/wiki/Q19922674","display_name":"Fire detection","level":2,"score":0.7457485795021057},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.563328206539154},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.49739840626716614},{"id":"https://openalex.org/C58874564","wikidata":"https://www.wikidata.org/wiki/Q130768","display_name":"Smoke","level":2,"score":0.46827197074890137},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4515090584754944},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.42834991216659546},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4159787893295288},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40174993872642517},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3533626198768616},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3352035880088806},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3278416693210602},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23823696374893188},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s23010169","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23010169","pdf_url":"https://www.mdpi.com/1424-8220/23/1/169/pdf?version=1672824167","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:36616772","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36616772","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:db4d81b31601464785e7038e154c1237","is_oa":false,"landing_page_url":"https://doaj.org/article/db4d81b31601464785e7038e154c1237","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 1, p 169 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/1/169/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23010169","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 23; Issue 1; Pages: 169","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9824335","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9824335","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/s23010169","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23010169","pdf_url":"https://www.mdpi.com/1424-8220/23/1/169/pdf?version=1672824167","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":[{"id":"https://metadata.un.org/sdg/11","score":0.5099999904632568,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313244230.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1574447377","https://openalex.org/W1595958072","https://openalex.org/W1680797894","https://openalex.org/W1878565453","https://openalex.org/W1912982817","https://openalex.org/W1959220275","https://openalex.org/W2064608544","https://openalex.org/W2068258779","https://openalex.org/W2104933073","https://openalex.org/W2132791018","https://openalex.org/W2148143831","https://openalex.org/W2196215201","https://openalex.org/W2540569947","https://openalex.org/W2552901590","https://openalex.org/W2734486109","https://openalex.org/W2738593010","https://openalex.org/W2794775693","https://openalex.org/W2901314536","https://openalex.org/W2942845135","https://openalex.org/W2944039629","https://openalex.org/W2961368288","https://openalex.org/W2982557814","https://openalex.org/W2984841888","https://openalex.org/W2999309192","https://openalex.org/W3004719051","https://openalex.org/W3092248103","https://openalex.org/W3126228052","https://openalex.org/W3129180886","https://openalex.org/W3134451384","https://openalex.org/W3138948977","https://openalex.org/W3180579808","https://openalex.org/W3197713205","https://openalex.org/W3211016778","https://openalex.org/W4207001164","https://openalex.org/W4207031702","https://openalex.org/W4220657974","https://openalex.org/W4220744120","https://openalex.org/W4224930816","https://openalex.org/W4231885495","https://openalex.org/W4242738563","https://openalex.org/W4283446915","https://openalex.org/W4288066856","https://openalex.org/W4293211496","https://openalex.org/W6687403153","https://openalex.org/W6801051902","https://openalex.org/W6809713338","https://openalex.org/W6838849041"],"related_works":["https://openalex.org/W2999380063","https://openalex.org/W2392528038","https://openalex.org/W2889302474","https://openalex.org/W2015259196","https://openalex.org/W4386447087","https://openalex.org/W2770974135","https://openalex.org/W2803990755","https://openalex.org/W2373782842","https://openalex.org/W4283775558","https://openalex.org/W1482594609"],"abstract_inverted_index":{"Fire":[0,209],"is":[1,103,139,185,213,360],"usually":[2],"detected":[3],"with":[4,98,122,159,178,238,243,254,325],"fire":[5,20,40,47,121,177,253],"detection":[6],"systems":[7,42],"that":[8,115,250],"are":[9,33,50,338],"used":[10,35,51,170,235],"to":[11,61,105,119,140,175,214,246,270,284,340],"sense":[12],"one":[13],"or":[14,29,68],"more":[15],"products":[16],"resulting":[17],"from":[18,129],"the":[19,90,126,130,142,183,211,261,296,308,311,319,322,363,369],"such":[21,76,99,219],"as":[22,77,171,200,220],"smoke,":[23,44,62],"heat,":[24,63],"infrared,":[25,64],"ultraviolet":[26,65],"light":[27,66],"radiation,":[28,67],"gas.":[30],"Smoke":[31],"detectors":[32],"mostly":[34],"in":[36,52,59,153,236,318],"residential":[37],"areas":[38],"while":[39],"alarm":[41],"(heat,":[43],"flame,":[45],"and":[46,55,82,167,191,203,227,266,281,287,304,336,345,362],"gas":[48],"detectors)":[49],"commercial,":[53],"industrial":[54],"municipal":[56],"areas.":[57],"However,":[58,97],"addition":[60],"gas,":[69],"other":[70],"parameters":[71,88],"could":[72,251],"indicate":[73],"a":[74,93,100,107,146,160],"fire,":[75],"air":[78,80],"temperature,":[79],"pressure,":[81],"humidity,":[83],"among":[84],"others.":[85],"Collecting":[86],"these":[87],"requires":[89],"development":[91],"of":[92,136,144,155,197,206,291,321,331,355],"sensor":[94,131],"fusion":[95,132],"system.":[96,133],"system,":[101],"it":[102],"necessary":[104],"develop":[106],"simple":[108,147],"system":[109,149],"based":[110,186],"on":[111,187,279,307,368],"artificial":[112],"intelligence":[113],"(AI)":[114],"will":[116],"be":[117,151,169,271],"able":[118],"detect":[120,176,252],"high":[123,179,255],"accuracy":[124,292],"using":[125,351],"information":[127],"collected":[128],"The":[134,230,328,348],"novelty":[135],"this":[137,259],"paper":[138],"show":[141],"procedure":[143],"how":[145],"AI":[148],"can":[150,168],"created":[152],"form":[154],"symbolic":[156,163,248,275,349],"expression":[157,276,350],"obtained":[158,231,274,329],"genetic":[161],"programming":[162],"classifier":[164],"(GPSC)":[165],"algorithm":[166],"an":[172,188],"additional":[173],"tool":[174],"classification":[180,256,313,356],"accuracy.":[181,257],"Since":[182],"investigation":[184],"initially":[189],"imbalanced":[190],"publicly":[192],"available":[193],"dataset":[194,323],"(high":[195],"number":[196,205],"samples":[198,207],"classified":[199],"1-Fire":[201],"Alarm":[202],"small":[204],"0-No":[208],"Alarm),":[210],"idea":[212],"implement":[215],"various":[216],"balancing":[217],"methods":[218],"random":[221,239,262],"undersampling/oversampling,":[222],"Near":[223],"Miss-1,":[224],"ADASYN,":[225],"SMOTE,":[226],"Borderline":[228],"SMOTE.":[229],"balanced":[232,324],"datasets":[233,283],"were":[234,316,358],"GPSC":[237],"hyperparameter":[240,263],"search":[241,264],"combined":[242],"5-fold":[244,267],"cross-validation":[245,268],"obtain":[247,285],"expressions":[249],"For":[258],"investigation,":[260,310],"method":[265],"had":[269],"developed.":[272],"Each":[273],"was":[277,366],"evaluated":[278],"train":[280],"test":[282],"mean":[286],"standard":[288],"deviation":[289],"values":[290,315,330,354],"(ACC),":[293],"area":[294],"under":[295],"receiver":[297],"operating":[298],"characteristic":[299],"curve":[300],"(AUC),":[301],"precision,":[302],"recall,":[303],"F1-score.":[305],"Based":[306],"conducted":[309],"highest":[312],"metric":[314],"achieved":[317,359],"case":[320],"SMOTE":[326],"method.":[327],"ACC\u00af\u00b1SD(ACC),":[332],"AUC\u00af\u00b1SD(ACU),":[333],"Precision\u00af\u00b1SD(Precision),":[334],"Recall\u00af\u00b1SD(Recall),":[335],"F1-score\u00af\u00b1SD(F1-score)":[337],"equal":[339],"0.998\u00b14.79\u00d710-5,":[341,342],"0.999\u00b15.32\u00d710-5,":[343],"0.998\u00b14.26\u00d710-5,":[344],"0.998\u00b14.796\u00d710-5,":[346],"respectively.":[347],"which":[352],"best":[353],"metrics":[357],"shown,":[361],"final":[364],"evaluation":[365],"performed":[367],"original":[370],"dataset.":[371]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}