{"id":"https://openalex.org/W4387587610","doi":"https://doi.org/10.1109/access.2023.3324054","title":"A Novel Fault Diagnosis Method Based on NEEEMD-RUSLP Feature Selection and BTLSTSVM","display_name":"A Novel Fault Diagnosis Method Based on NEEEMD-RUSLP Feature Selection and BTLSTSVM","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387587610","doi":"https://doi.org/10.1109/access.2023.3324054"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3324054","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3324054","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10283816.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10283816.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101785750","display_name":"Rongrong Lu","orcid":"https://orcid.org/0009-0001-6864-3016"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongrong Lu","raw_affiliation_strings":["School of Information Science and Technology, Yunnan Normal University, Kunming, China"],"raw_orcid":"https://orcid.org/0009-0001-6864-3016","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Yunnan Normal University, Kunming, China","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101512769","display_name":"Miao Xu","orcid":"https://orcid.org/0009-0006-1149-2575"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miao Xu","raw_affiliation_strings":["School of Information Science and Technology, Yunnan Normal University, Kunming, China"],"raw_orcid":"https://orcid.org/0009-0006-1149-2575","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Yunnan Normal University, Kunming, China","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076881964","display_name":"Chengjiang Zhou","orcid":"https://orcid.org/0000-0003-4218-105X"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengjiang Zhou","raw_affiliation_strings":["School of Information Science and Technology, Yunnan Normal University, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0003-4218-105X","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Yunnan Normal University, Kunming, China","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007408924","display_name":"Zhaodong Zhang","orcid":"https://orcid.org/0009-0005-2821-5200"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaodong Zhang","raw_affiliation_strings":["School of Information Science and Technology, Yunnan Normal University, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Yunnan Normal University, Kunming, China","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036965679","display_name":"Shanyou He","orcid":null},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanyou He","raw_affiliation_strings":["School of Information Science and Technology, Yunnan Normal University, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Yunnan Normal University, Kunming, China","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100634873","display_name":"Qihua Yang","orcid":"https://orcid.org/0000-0001-7895-3483"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qihua Yang","raw_affiliation_strings":["School of Information Science and Technology, Yunnan Normal University, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0001-7895-3483","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Yunnan Normal University, Kunming, China","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068019339","display_name":"Min Mao","orcid":"https://orcid.org/0000-0002-0209-4077"},"institutions":[{"id":"https://openalex.org/I4210096600","display_name":"Quzhou College of Technology","ror":"https://ror.org/00q0v3357","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096600"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Mao","raw_affiliation_strings":["Faculty of Information Engineering, Quzhou College of Technology, Quzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0209-4077","affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering, Quzhou College of Technology, Quzhou, China","institution_ids":["https://openalex.org/I4210096600"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060213646","display_name":"Jingzong Yang","orcid":"https://orcid.org/0000-0002-2211-8718"},"institutions":[{"id":"https://openalex.org/I4210144930","display_name":"Baoshan University","ror":"https://ror.org/04t69c375","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210144930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingzong Yang","raw_affiliation_strings":["School of Big Data, Baoshan University, Baoshan, Yunnan, China"],"raw_orcid":"https://orcid.org/0000-0002-2211-8718","affiliations":[{"raw_affiliation_string":"School of Big Data, Baoshan University, Baoshan, Yunnan, China","institution_ids":["https://openalex.org/I4210144930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.4586,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.57513004,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"11","issue":null,"first_page":"113965","last_page":"113994"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.996399998664856,"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":0.996399998664856,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9872999787330627,"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/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.9811000227928162,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7104407548904419},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6714427471160889},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6565229892730713},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6369247436523438},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5726861357688904},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.5465975403785706},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5240002870559692},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5032843947410583},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.4461395740509033},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4344887137413025},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.42576050758361816},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.2809813618659973},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.10314157605171204},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.0931079089641571}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7104407548904419},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6714427471160889},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6565229892730713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6369247436523438},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5726861357688904},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.5465975403785706},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5240002870559692},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5032843947410583},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.4461395740509033},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4344887137413025},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.42576050758361816},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.2809813618659973},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.10314157605171204},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0931079089641571},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3324054","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3324054","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10283816.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ff28bb28927a436f924e5d4ae844a033","is_oa":true,"landing_page_url":"https://doaj.org/article/ff28bb28927a436f924e5d4ae844a033","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":"IEEE Access, Vol 11, Pp 113965-113994 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3324054","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3324054","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10283816.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2145472381","display_name":null,"funder_award_id":"2021K31","funder_id":"https://openalex.org/F4320327681","funder_display_name":"Yunnan Normal University"},{"id":"https://openalex.org/G2389754100","display_name":null,"funder_award_id":"2020014","funder_id":"https://openalex.org/F4320327681","funder_display_name":"Yunnan Normal University"},{"id":"https://openalex.org/G3231482592","display_name":null,"funder_award_id":"01000205020503131","funder_id":"https://openalex.org/F4320327681","funder_display_name":"Yunnan Normal University"},{"id":"https://openalex.org/G4782116247","display_name":null,"funder_award_id":"62363036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G772724176","display_name":null,"funder_award_id":"2020014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320310630","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327681","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387587610.pdf","grobid_xml":"https://content.openalex.org/works/W4387587610.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W2019184604","https://openalex.org/W2088246901","https://openalex.org/W2809350318","https://openalex.org/W2900367617","https://openalex.org/W2921117875","https://openalex.org/W3011185366","https://openalex.org/W3015874400","https://openalex.org/W3023727762","https://openalex.org/W3087981749","https://openalex.org/W3112875984","https://openalex.org/W3128444015","https://openalex.org/W3130615170","https://openalex.org/W3159913937","https://openalex.org/W3169347762","https://openalex.org/W3182041018","https://openalex.org/W3182560470","https://openalex.org/W3192540077","https://openalex.org/W3195050251","https://openalex.org/W3200340827","https://openalex.org/W3201135244","https://openalex.org/W3202146146","https://openalex.org/W3213557922","https://openalex.org/W3214670965","https://openalex.org/W4200121584","https://openalex.org/W4200258696","https://openalex.org/W4220851302","https://openalex.org/W4221099611","https://openalex.org/W4224278522","https://openalex.org/W4226413155","https://openalex.org/W4281758906","https://openalex.org/W4284889614","https://openalex.org/W4292087306","https://openalex.org/W4293331231","https://openalex.org/W4295872248","https://openalex.org/W4296312059","https://openalex.org/W4296873255","https://openalex.org/W4297025466","https://openalex.org/W4298013125","https://openalex.org/W4304114242","https://openalex.org/W4308485707","https://openalex.org/W4308889875","https://openalex.org/W4311146541","https://openalex.org/W4312194343","https://openalex.org/W4323304985","https://openalex.org/W4327662986","https://openalex.org/W4360820227","https://openalex.org/W4362637269","https://openalex.org/W4362734841","https://openalex.org/W4366124488","https://openalex.org/W4366750866","https://openalex.org/W4366830575","https://openalex.org/W4375866544","https://openalex.org/W4380742489","https://openalex.org/W6800160025"],"related_works":["https://openalex.org/W3014107421","https://openalex.org/W2363056446","https://openalex.org/W2081563414","https://openalex.org/W2359718298","https://openalex.org/W2377062149","https://openalex.org/W2380939102","https://openalex.org/W154554909","https://openalex.org/W2072581623","https://openalex.org/W2011248322","https://openalex.org/W2329112433"],"abstract_inverted_index":{"The":[0,292],"vibration":[1,98],"signal":[2,99,141],"of":[3,26,50,103,120,138,151,172,217,225,248,251,270,310,332],"rolling":[4],"bearings":[5],"is":[6,13,35,89,180,198,239,262,288],"a":[7,55,101,156,325],"nonlinear":[8],"and":[9,20,23,31,44,48,68,77,95,108,117,134,144,167,304,335,340],"non-stationary":[10],"signal,":[11],"which":[12,210],"affected":[14],"by":[15,235,241,258,264,284,290],"the":[16,24,46,97,109,139,147,164,169,173,175,188,193,201,207,214,221,230,236,244,249,253,259,267,274,279,285,296,306,311,330],"working":[17],"condition":[18],"change":[19],"background":[21,93],"noise,":[22],"reliability":[25,49],"traditional":[27],"feature":[28,42,71,158,165,177],"extraction":[29],"methods":[30,34],"fault":[32,51,57,223,231,246,254,268,280,308,317,333],"identification":[33],"low.":[36],"In":[37,160,191,220,243,266],"order":[38,161],"to":[39,91,125,154,162,182,205,212],"effectively":[40,302],"extract":[41,303],"vectors":[43],"improve":[45,168,213],"accuracy":[47,171,216,233,256,282],"identification,":[52],"we":[53],"propose":[54],"new":[56,326],"diagnosis":[58,224,232,247,255,269,281,318],"method":[59,179,238,261,287,298,322,327],"based":[60],"on":[61],"noise":[62,94],"eliminated":[63],"ensemble":[64],"empirical":[65],"mode":[66,105],"decomposition":[67],"robust":[69],"unsupervised":[70],"selection":[72,178],"with":[73,146],"local":[74],"preservation":[75],"(NEEEMD-RUSLP)":[76],"binary":[78,194,203],"tree":[79,195],"least":[80],"squares":[81],"twin":[82],"support":[83],"vector":[84],"machine":[85],"(BTLSTSVM).":[86],"Firstly,":[87],"NEEEMD":[88],"introduced":[90,181,199],"suppress":[92],"decompose":[96],"into":[100,200],"series":[102],"intrinsic":[104],"functions":[106],"(IMF),":[107],"wavelet":[110],"packet":[111,114],"energy":[112,115],"entropy,":[113],"coefficient,":[116],"Gini":[118],"coefficient":[119],"each":[121,152],"IMF":[122,153],"are":[123,142],"extracted":[124,143],"construct":[126,155,206],"time-frequency":[127,148],"domain":[128,149],"features.":[129,190,219],"Then,":[130],"16":[131],"time-domain":[132],"features":[133,137,150,186],"13":[135],"frequency-domain":[136],"original":[140],"combined":[145],"high-dimensional":[157,189],"space.":[159],"reduce":[163],"dimension":[166],"diagnostic":[170],"model,":[174],"RUSLP":[176],"select":[183,305],"effective":[184],"low-dimensional":[185,218,307],"from":[187],"addition,":[192],"(BT)":[196],"strategy":[197],"LSTSVM":[202],"classifier":[204],"BTLSTSVM":[208],"multi-classifier,":[209],"aims":[211],"recognition":[215],"bearing":[222,245],"Case":[226],"Western":[227],"Reserve":[228],"University,":[229],"obtained":[234,257,283],"proposed":[237,260,286,297],"improved":[240,263,289],"10.67%.":[242],"University":[250],"Ottawa,":[252],"10%.":[265],"check":[271],"valve":[272],"in":[273],"actual":[275],"industrial":[276],"production":[277],"environment,":[278],"22%.":[291],"results":[293],"show":[294],"that":[295],"can":[299,323],"not":[300],"only":[301],"characteristics":[309],"bearing,":[312],"but":[313],"also":[314],"achieve":[315],"competitive":[316],"accuracy.":[319],"Therefore,":[320],"this":[321],"provide":[324],"reference":[328],"for":[329],"field":[331],"diagnosis,":[334],"has":[336],"great":[337],"theoretical":[338],"significance":[339],"application":[341],"value.":[342]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}