{"id":"https://openalex.org/W4315783478","doi":"https://doi.org/10.1109/icnsc55942.2022.10004095","title":"Missing Fault Data Processing Method Based On Improved Harmony Search Algorithm","display_name":"Missing Fault Data Processing Method Based On Improved Harmony Search Algorithm","publication_year":2022,"publication_date":"2022-12-15","ids":{"openalex":"https://openalex.org/W4315783478","doi":"https://doi.org/10.1109/icnsc55942.2022.10004095"},"language":"en","primary_location":{"id":"doi:10.1109/icnsc55942.2022.10004095","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icnsc55942.2022.10004095","pdf_url":null,"source":{"id":"https://openalex.org/S4363608241","display_name":"2022 IEEE International Conference on Networking, Sensing and Control (ICNSC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Networking, Sensing and Control (ICNSC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079789409","display_name":"LuLu Shuai","orcid":null},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"LuLu Shuai","raw_affiliation_strings":["College of Computer Science and Technology, Huaqiao University,Xiamen,China,361021"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Huaqiao University,Xiamen,China,361021","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101608788","display_name":"Jian\u2010Hong Ye","orcid":"https://orcid.org/0000-0003-2356-4952"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"JianHong Ye","raw_affiliation_strings":["College of Computer Science and Technology, Huaqiao University,Xiamen,China,361021"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Huaqiao University,Xiamen,China,361021","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022454790","display_name":"Chuan Ma","orcid":"https://orcid.org/0000-0002-5530-5966"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Ma","raw_affiliation_strings":["College of Computer Science and Technology, Huaqiao University,Xiamen,China,361021"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Huaqiao University,Xiamen,China,361021","institution_ids":["https://openalex.org/I119045251"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079789409"],"corresponding_institution_ids":["https://openalex.org/I119045251"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1893013,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12033","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9955999851226807,"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"}},"topics":[{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9955999851226807,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/imputation","display_name":"Imputation (statistics)","score":0.9180457592010498},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.8918720483779907},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.700392484664917},{"id":"https://openalex.org/keywords/harmony-search","display_name":"Harmony search","score":0.6726259589195251},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6400232315063477},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.426385760307312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25001800060272217},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23229706287384033}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.9180457592010498},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.8918720483779907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.700392484664917},{"id":"https://openalex.org/C33099171","wikidata":"https://www.wikidata.org/wiki/Q26208718","display_name":"Harmony search","level":2,"score":0.6726259589195251},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6400232315063477},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.426385760307312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25001800060272217},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23229706287384033}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnsc55942.2022.10004095","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icnsc55942.2022.10004095","pdf_url":null,"source":{"id":"https://openalex.org/S4363608241","display_name":"2022 IEEE International Conference on Networking, Sensing and Control (ICNSC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Networking, Sensing and Control (ICNSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.4000000059604645,"display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G1494484875","display_name":null,"funder_award_id":"61973130","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322182","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1610612296","https://openalex.org/W1712273250","https://openalex.org/W1993885071","https://openalex.org/W2316243772","https://openalex.org/W2788853733","https://openalex.org/W2925302285","https://openalex.org/W2955993255","https://openalex.org/W3005343217","https://openalex.org/W3005380363","https://openalex.org/W3009374615","https://openalex.org/W3047297197","https://openalex.org/W3106130516","https://openalex.org/W3155219088","https://openalex.org/W3188915529","https://openalex.org/W3195277359","https://openalex.org/W3208795263","https://openalex.org/W4224125250","https://openalex.org/W4224241566","https://openalex.org/W4285140595","https://openalex.org/W6748587240","https://openalex.org/W6773362992","https://openalex.org/W6773459821","https://openalex.org/W6810568630"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W2055961818","https://openalex.org/W2903115227","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W3028371478","https://openalex.org/W2081476516"],"abstract_inverted_index":{"This":[0],"paper":[1,96],"presents":[2],"an":[3],"improved":[4,132],"harmony":[5,133],"search":[6,134],"algorithm":[7,135],"(OP-HSA)":[8],"for":[9,50,73],"missing":[10,19,32,45,61,74],"fault":[11],"data":[12,20,29,46,79,106,141],"processing,":[13],"to":[14,34,59,67],"find":[15,68,137],"a":[16,138],"relatively":[17],"optimal":[18],"imputation":[21,71,80,110,142],"method":[22,72,81],"from":[23],"the":[24,44,69,77,85,89,100,105,115,119,123,131],"alternatives.":[25],"In":[26,99],"real":[27],"life,":[28],"is":[30,64,125],"usually":[31],"due":[33],"equipment":[35],"failure":[36],"or":[37],"staff":[38],"negligence,":[39],"and":[40,118],"researchers":[41],"will":[42],"preprocess":[43],"before":[47],"using":[48],"it":[49,63],"work.":[51],"There":[52],"are":[53,112],"more":[54,139],"than":[55],"one":[56],"hundred":[57],"methods":[58,111],"impute":[60],"data,":[62],"not":[65],"easy":[66],"right":[70,78],"data.":[75],"Selecting":[76],"can":[82,136],"get":[83],"twice":[84],"result":[86],"with":[87,114],"half":[88],"effort.":[90],"To":[91],"solve":[92],"this":[93,95,103],"challenge,":[94],"proposes":[97],"OP-HSA.":[98],"experiment":[101],"of":[102,122],"paper,":[104],"processed":[107],"by":[108],"different":[109],"fitted":[113],"original":[116],"dataset":[117,124],"similarity":[120],"error":[121],"compared.":[126],"The":[127],"results":[128],"show":[129],"that":[130],"appropriate":[140],"method.":[143]},"counts_by_year":[],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}