{"id":"https://openalex.org/W3163396448","doi":"https://doi.org/10.3390/s21103382","title":"A Novel Domain Adaptation-Based Intelligent Fault Diagnosis Model to Handle Sample Class Imbalanced Problem","display_name":"A Novel Domain Adaptation-Based Intelligent Fault Diagnosis Model to Handle Sample Class Imbalanced Problem","publication_year":2021,"publication_date":"2021-05-12","ids":{"openalex":"https://openalex.org/W3163396448","doi":"https://doi.org/10.3390/s21103382","mag":"3163396448","pmid":"https://pubmed.ncbi.nlm.nih.gov/34066271"},"language":"en","primary_location":{"id":"doi:10.3390/s21103382","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21103382","pdf_url":"https://www.mdpi.com/1424-8220/21/10/3382/pdf?version=1621312365","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/1424-8220/21/10/3382/pdf?version=1621312365","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100452427","display_name":"Zhongwei Zhang","orcid":"https://orcid.org/0000-0002-6447-5334"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongwei Zhang","raw_affiliation_strings":["School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China"],"affiliations":[{"raw_affiliation_string":"School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China","institution_ids":["https://openalex.org/I119203015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066830188","display_name":"Mingyu Shao","orcid":"https://orcid.org/0000-0003-2367-5097"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingyu Shao","raw_affiliation_strings":["School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China"],"affiliations":[{"raw_affiliation_string":"School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China","institution_ids":["https://openalex.org/I119203015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100402246","display_name":"Liping Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liping Wang","raw_affiliation_strings":["School of Mathematics and Information Science, Nanjing Normal University of Special Education, Nanjing 210038, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Information Science, Nanjing Normal University of Special Education, Nanjing 210038, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037894177","display_name":"Sujuan Shao","orcid":"https://orcid.org/0000-0003-3127-4867"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sujuan Shao","raw_affiliation_strings":["School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China"],"affiliations":[{"raw_affiliation_string":"School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China","institution_ids":["https://openalex.org/I119203015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013840378","display_name":"Chicheng Ma","orcid":"https://orcid.org/0000-0002-0392-1935"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chicheng Ma","raw_affiliation_strings":["School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China"],"affiliations":[{"raw_affiliation_string":"School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China","institution_ids":["https://openalex.org/I119203015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5066830188"],"corresponding_institution_ids":["https://openalex.org/I119203015"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.3866,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.80631466,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"21","issue":"10","first_page":"3382","last_page":"3382"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T12676","display_name":"Machine Learning and ELM","score":0.9465000033378601,"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/computer-science","display_name":"Computer science","score":0.62310391664505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5020761489868164},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5003302097320557},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.49883532524108887},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.47399747371673584},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4475284218788147},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.44703546166419983},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.41662952303886414},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.36810019612312317},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3638055920600891},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34670525789260864},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33717817068099976}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.62310391664505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5020761489868164},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5003302097320557},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.49883532524108887},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.47399747371673584},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4475284218788147},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.44703546166419983},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.41662952303886414},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.36810019612312317},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3638055920600891},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34670525789260864},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33717817068099976},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s21103382","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21103382","pdf_url":"https://www.mdpi.com/1424-8220/21/10/3382/pdf?version=1621312365","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:34066271","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34066271","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:b86081327bde4a4d80846256866ab808","is_oa":true,"landing_page_url":"https://doaj.org/article/b86081327bde4a4d80846256866ab808","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 10, p 3382 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/10/3382/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21103382","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 10; Pages: 3382","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8152017","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8152017","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"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/s21103382","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21103382","pdf_url":"https://www.mdpi.com/1424-8220/21/10/3382/pdf?version=1621312365","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/G1834716855","display_name":null,"funder_award_id":"ZR2020MA060","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G1922093080","display_name":null,"funder_award_id":"11702162","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2541912033","display_name":null,"funder_award_id":"11702162","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2696157397","display_name":null,"funder_award_id":"ZR201","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G591479136","display_name":null,"funder_award_id":"ZR2020","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6119838252","display_name":null,"funder_award_id":"ZR2020MA057","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G6924028813","display_name":null,"funder_award_id":"ZR2018","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G7820444021","display_name":null,"funder_award_id":"ZR2018LE014","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3163396448.pdf","grobid_xml":"https://content.openalex.org/works/W3163396448.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1595917421","https://openalex.org/W1731081199","https://openalex.org/W2057266281","https://openalex.org/W2100664256","https://openalex.org/W2120149881","https://openalex.org/W2164943005","https://openalex.org/W2237892091","https://openalex.org/W2328604275","https://openalex.org/W2463151562","https://openalex.org/W2515651075","https://openalex.org/W2539324467","https://openalex.org/W2556013418","https://openalex.org/W2731372149","https://openalex.org/W2795114469","https://openalex.org/W2798149494","https://openalex.org/W2803165512","https://openalex.org/W2804564147","https://openalex.org/W2883843133","https://openalex.org/W2887507616","https://openalex.org/W2897999946","https://openalex.org/W2900935771","https://openalex.org/W2904218127","https://openalex.org/W2912073957","https://openalex.org/W2915337192","https://openalex.org/W2939535241","https://openalex.org/W2970082215","https://openalex.org/W2976060347","https://openalex.org/W2978231098","https://openalex.org/W2991087548","https://openalex.org/W2991493462","https://openalex.org/W2994831808","https://openalex.org/W3008424586","https://openalex.org/W3009726326","https://openalex.org/W3011435659","https://openalex.org/W3014214151","https://openalex.org/W3022769603","https://openalex.org/W3042440267","https://openalex.org/W3082147904","https://openalex.org/W3116400523","https://openalex.org/W3125706503","https://openalex.org/W3130247138","https://openalex.org/W3136150057","https://openalex.org/W6637618735","https://openalex.org/W6689917909"],"related_works":["https://openalex.org/W3080655457","https://openalex.org/W3166286441","https://openalex.org/W3214142563","https://openalex.org/W3136267388","https://openalex.org/W3186065094","https://openalex.org/W4287263085","https://openalex.org/W3093803318","https://openalex.org/W3204418343","https://openalex.org/W4312617661","https://openalex.org/W4390401377"],"abstract_inverted_index":{"As":[0],"the":[1,9,19,54,71,76,93,111,128,145,151,169,175,186],"key":[2],"component":[3],"to":[4,17,91,109,125,149,167,174],"transmit":[5],"power":[6],"and":[7,46,75,107,132,157],"torque,":[8],"fault":[10,57,176],"diagnosis":[11,58,177],"of":[12,22,53,113,171,188],"rotating":[13],"machinery":[14],"is":[15,29,79,82,105,120,142],"crucial":[16],"guarantee":[18],"reliable":[20],"operation":[21],"mechanical":[23,56],"equipment.":[24],"Regrettably,":[25],"sample":[26,94,189],"class":[27,95,162,190],"imbalance":[28,96],"a":[30,64],"common":[31],"phenomenon":[32],"in":[33,48],"industrial":[34],"applications,":[35],"which":[36,81],"causes":[37],"large":[38],"cross-domain":[39,72],"distribution":[40,73,115],"discrepancies":[41],"for":[42,51],"domain":[43],"adaptation":[44],"(DA)":[45],"results":[47],"performance":[49,112],"degradation":[50],"most":[52],"existing":[55],"approaches.":[59],"To":[60],"address":[61],"this":[62],"issue,":[63],"novel":[65,100],"DA":[66],"approach":[67],"that":[68],"simultaneously":[69,126],"reduces":[70],"difference":[74,78],"geometric":[77],"proposed,":[80],"defined":[83],"as":[84,144],"MRMI.":[85,172],"This":[86],"work":[87],"contains":[88],"three":[89],"parts":[90],"improve":[92,110,150],"issue:":[97],"(1)":[98],"A":[99],"distance":[101],"metric":[102],"method":[103],"(MVD)":[104],"proposed":[106],"applied":[108,143,166],"marginal":[114],"adaptation.":[116],"(2)":[117],"Manifold":[118],"regularization":[119,141],"combined":[121],"with":[122,161],"instance":[123],"reweighting":[124],"explore":[127],"intrinsic":[129],"manifold":[130],"structure":[131],"remove":[133],"irrelevant":[134],"source-domain":[135],"samples":[136,164],"adaptively.":[137],"(3)":[138],"The":[139,155],"<i>\u2113</i>2-norm":[140],"data":[146],"preprocessing":[147],"tool":[148],"model":[152],"generalization":[153],"performance.":[154],"gear":[156],"rolling":[158],"bearing":[159],"datasets":[160],"imbalanced":[163],"are":[165],"validate":[168],"reliability":[170],"According":[173],"results,":[178],"MRMI":[179],"can":[180],"significantly":[181],"outperform":[182],"competitive":[183],"approaches":[184],"under":[185],"condition":[187],"imbalance.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
