{"id":"https://openalex.org/W4306850149","doi":"https://doi.org/10.3390/s22207982","title":"Adaptive Data Selection-Based Machine Learning Algorithm for Prediction of Component Obsolescence","display_name":"Adaptive Data Selection-Based Machine Learning Algorithm for Prediction of Component Obsolescence","publication_year":2022,"publication_date":"2022-10-19","ids":{"openalex":"https://openalex.org/W4306850149","doi":"https://doi.org/10.3390/s22207982","pmid":"https://pubmed.ncbi.nlm.nih.gov/36298331"},"language":"en","primary_location":{"id":"doi:10.3390/s22207982","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22207982","pdf_url":"https://www.mdpi.com/1424-8220/22/20/7982/pdf?version=1666677449","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/1424-8220/22/20/7982/pdf?version=1666677449","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085985712","display_name":"Kyoung-Sook Moon","orcid":"https://orcid.org/0000-0003-3023-2358"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyoung-Sook Moon","raw_affiliation_strings":["Department of Mathematical Finance, Gachon University, 1342 Seongnamdaero, Sujeong-gu, Seongnam-si 13120, Gyeonggi-do, Korea"],"raw_orcid":"https://orcid.org/0000-0003-3023-2358","affiliations":[{"raw_affiliation_string":"Department of Mathematical Finance, Gachon University, 1342 Seongnamdaero, Sujeong-gu, Seongnam-si 13120, Gyeonggi-do, Korea","institution_ids":["https://openalex.org/I12832649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111771526","display_name":"Hee Won Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hee Won Lee","raw_affiliation_strings":["Department of Mathematics, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055484471","display_name":"Hongjoong Kim","orcid":"https://orcid.org/0000-0001-9235-0929"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hongjoong Kim","raw_affiliation_strings":["Department of Mathematics, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Korea"],"raw_orcid":"https://orcid.org/0000-0001-9235-0929","affiliations":[{"raw_affiliation_string":"Department of Mathematics, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055484471"],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.8698,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7938074,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"22","issue":"20","first_page":"7982","last_page":"7982"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14014","display_name":"Transportation Systems and Infrastructure","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T14014","display_name":"Transportation Systems and Infrastructure","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13192","display_name":"Forensic Fingerprint Detection Methods","score":0.9160000085830688,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14368","display_name":"Evaluation and Optimization Models","score":0.9071999788284302,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/obsolescence","display_name":"Obsolescence","score":0.776153564453125},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6565176248550415},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6524075269699097},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6266385912895203},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.591184675693512},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5005154609680176},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45878297090530396},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4358541667461395},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4327143132686615},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3431459069252014}],"concepts":[{"id":"https://openalex.org/C30795975","wikidata":"https://www.wikidata.org/wiki/Q282744","display_name":"Obsolescence","level":2,"score":0.776153564453125},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6565176248550415},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6524075269699097},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6266385912895203},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.591184675693512},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5005154609680176},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45878297090530396},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4358541667461395},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4327143132686615},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3431459069252014},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s22207982","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22207982","pdf_url":"https://www.mdpi.com/1424-8220/22/20/7982/pdf?version=1666677449","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:36298331","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36298331","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:58564ecf855e41ee876d20518946bf18","is_oa":true,"landing_page_url":"https://doaj.org/article/58564ecf855e41ee876d20518946bf18","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":"Sensors, Vol 22, Iss 20, p 7982 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/20/7982/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22207982","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 22; Issue 20; Pages: 7982","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9608088","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9608088","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/s22207982","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22207982","pdf_url":"https://www.mdpi.com/1424-8220/22/20/7982/pdf?version=1666677449","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/9","display_name":"Industry, innovation and infrastructure","score":0.5699999928474426}],"awards":[{"id":"https://openalex.org/G2084971630","display_name":null,"funder_award_id":"NRF-2018R1D1A1B07050046","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G3496710776","display_name":null,"funder_award_id":"2021R1F1A1054766","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4306850149.pdf"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1901616594","https://openalex.org/W2066467959","https://openalex.org/W2100051861","https://openalex.org/W2101234009","https://openalex.org/W2119785455","https://openalex.org/W2130836527","https://openalex.org/W2161160262","https://openalex.org/W2299372648","https://openalex.org/W2483613281","https://openalex.org/W2614084845","https://openalex.org/W2787744881","https://openalex.org/W2887572707","https://openalex.org/W3007066689","https://openalex.org/W3157441019","https://openalex.org/W3202722099","https://openalex.org/W4220668964","https://openalex.org/W4224318257","https://openalex.org/W6675354045","https://openalex.org/W6754103041"],"related_works":["https://openalex.org/W4285293690","https://openalex.org/W3124382960","https://openalex.org/W1590264876","https://openalex.org/W1570681957","https://openalex.org/W3131858951","https://openalex.org/W2090970427","https://openalex.org/W3125496616","https://openalex.org/W2787744881","https://openalex.org/W3125372081","https://openalex.org/W2084123296"],"abstract_inverted_index":{"Product":[0],"obsolescence":[1,24,57,130],"occurs":[2],"in":[3,101,108],"the":[4,56,74,83,99,109,125,129,135,147],"manufacturing":[5,27],"industry":[6],"as":[7],"new":[8],"products":[9],"with":[10,98],"better":[11],"performance":[12],"or":[13],"improved":[14],"cost-effectiveness":[15],"are":[16],"developed.":[17],"A":[18,138],"proactive":[19,45],"strategy":[20,46],"for":[21,43,69,117,153],"predicting":[22],"component":[23],"can":[25],"reduce":[26],"losses":[28],"and":[29,88,133],"lead":[30],"to":[31,54],"customer":[32],"satisfaction.":[33],"In":[34],"this":[35,141],"study,":[36],"we":[37],"propose":[38],"a":[39,44,66,70,79],"machine":[40,62],"learning":[41,63],"algorithm":[42,76],"based":[47],"on":[48],"an":[49,112],"adaptive":[50],"data":[51,100,106],"selection":[52],"method":[53,127],"forecast":[55],"of":[58,82,94,120,140,149],"electronic":[59],"diodes.":[60],"Typical":[61],"algorithms":[64],"construct":[65],"single":[67],"model":[68,114],"dataset.":[71],"By":[72],"contrast,":[73],"proposed":[75,126],"first":[77],"determines":[78],"mathematical":[80],"cover":[81],"dataset":[84],"via":[85],"unsupervised":[86,150],"clustering":[87,151],"subsequently":[89],"constructs":[90],"multiple":[91],"models,":[92],"each":[93,105],"which":[95],"is":[96,115,143],"trained":[97],"one":[102],"cover.":[103],"For":[104],"point":[107],"test":[110],"dataset,":[111],"optimal":[113],"selected":[116],"regression.":[118],"Results":[119],"empirical":[121],"experiments":[122],"show":[123],"that":[124,144],"improves":[128],"prediction":[131],"accuracy":[132],"accelerates":[134],"training":[136],"procedure.":[137],"novelty":[139],"study":[142],"it":[145],"demonstrates":[146],"effectiveness":[148],"methods":[152],"improving":[154],"supervised":[155],"regression":[156],"algorithms.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}