{"id":"https://openalex.org/W4390507393","doi":"https://doi.org/10.1186/s13635-023-00145-0","title":"RETRACTED ARTICLE: IoT devices and data availability optimization by ANN and KNN","display_name":"RETRACTED ARTICLE: IoT devices and data availability optimization by ANN and KNN","publication_year":2024,"publication_date":"2024-01-02","ids":{"openalex":"https://openalex.org/W4390507393","doi":"https://doi.org/10.1186/s13635-023-00145-0"},"language":"en","primary_location":{"id":"doi:10.1186/s13635-023-00145-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13635-023-00145-0","pdf_url":"https://jis-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13635-023-00145-0","source":{"id":"https://openalex.org/S5820498","display_name":"EURASIP Journal on Information Security","issn_l":"1687-4161","issn":["1687-4161","1687-417X","2510-523X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Information Security","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jis-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13635-023-00145-0","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100434656","display_name":"Zhiqiang Chen","orcid":"https://orcid.org/0000-0001-9946-8049"},"institutions":[{"id":"https://openalex.org/I1305126327","display_name":"Zibo Vocational Institute","ror":"https://ror.org/04mzr3655","country_code":"CN","type":"education","lineage":["https://openalex.org/I1305126327"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiqiang Chen","raw_affiliation_strings":["Zibo Vocational Education Research Institute, Zibo, 255046, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zibo Vocational Education Research Institute, Zibo, 255046, China","institution_ids":["https://openalex.org/I1305126327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084951381","display_name":"Zhihua Song","orcid":"https://orcid.org/0000-0001-9817-4153"},"institutions":[{"id":"https://openalex.org/I1305126327","display_name":"Zibo Vocational Institute","ror":"https://ror.org/04mzr3655","country_code":"CN","type":"education","lineage":["https://openalex.org/I1305126327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihua Song","raw_affiliation_strings":["Computer Applications of Zibo Electronic Engineering School, Zibo, 256100, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Applications of Zibo Electronic Engineering School, Zibo, 256100, China","institution_ids":["https://openalex.org/I1305126327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375839","display_name":"Tao Zhang","orcid":"https://orcid.org/0000-0002-7703-4263"},"institutions":[{"id":"https://openalex.org/I4210093148","display_name":"The Fourth People's Hospital of Zibo City","ror":"https://ror.org/00h626c53","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210093148"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhang","raw_affiliation_strings":["Zibo Education Service Center, Zibo, 255000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zibo Education Service Center, Zibo, 255000, China","institution_ids":["https://openalex.org/I4210093148"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085024215","display_name":"Yong Wei","orcid":"https://orcid.org/0000-0003-3851-6507"},"institutions":[{"id":"https://openalex.org/I1305126327","display_name":"Zibo Vocational Institute","ror":"https://ror.org/04mzr3655","country_code":"CN","type":"education","lineage":["https://openalex.org/I1305126327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Wei","raw_affiliation_strings":["Zibo Education Enrollment Examination Institute, Zibo, 255000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zibo Education Enrollment Examination Institute, Zibo, 255000, China","institution_ids":["https://openalex.org/I1305126327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100434656"],"corresponding_institution_ids":["https://openalex.org/I1305126327"],"apc_list":{"value":1040,"currency":"USD","value_usd":1040},"apc_paid":{"value":1040,"currency":"USD","value_usd":1040},"fwci":0.1338,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.33502063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2024","issue":"1","first_page":null,"last_page":null},"is_retracted":true,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9879000186920166,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/computer-science","display_name":"Computer science","score":0.8131757974624634},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6400059461593628},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6347157955169678},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5143943428993225},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5005884170532227},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.47773808240890503},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4723076820373535},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44559478759765625},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4233493208885193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35862261056900024},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3569294214248657},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2513197064399719}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8131757974624634},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6400059461593628},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6347157955169678},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5143943428993225},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5005884170532227},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.47773808240890503},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4723076820373535},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44559478759765625},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4233493208885193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35862261056900024},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3569294214248657},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2513197064399719},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13635-023-00145-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13635-023-00145-0","pdf_url":"https://jis-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13635-023-00145-0","source":{"id":"https://openalex.org/S5820498","display_name":"EURASIP Journal on Information Security","issn_l":"1687-4161","issn":["1687-4161","1687-417X","2510-523X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Information Security","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2ace3fadc83e4239af107a12f7d8a4ee","is_oa":true,"landing_page_url":"https://doaj.org/article/2ace3fadc83e4239af107a12f7d8a4ee","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":"EURASIP Journal on Information Security, Vol 2024, Iss 1, Pp 1-13 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13635-023-00145-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13635-023-00145-0","pdf_url":"https://jis-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13635-023-00145-0","source":{"id":"https://openalex.org/S5820498","display_name":"EURASIP Journal on Information Security","issn_l":"1687-4161","issn":["1687-4161","1687-417X","2510-523X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Information Security","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4390507393.pdf"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W3035932922","https://openalex.org/W3041521469","https://openalex.org/W3111967382","https://openalex.org/W3112320187","https://openalex.org/W3128430136","https://openalex.org/W3134720996","https://openalex.org/W3136178233","https://openalex.org/W3152794541","https://openalex.org/W3174197853","https://openalex.org/W3201841349","https://openalex.org/W3202282181","https://openalex.org/W3203374238","https://openalex.org/W3210492780","https://openalex.org/W3210737842","https://openalex.org/W3217321098","https://openalex.org/W4226098341","https://openalex.org/W4311926167"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W2087343574","https://openalex.org/W4246352526","https://openalex.org/W1486454173"],"abstract_inverted_index":{"Abstract":[0],"Extensive":[1],"research":[2],"has":[3],"been":[4],"conducted":[5],"to":[6,90,131,152,172,196],"enhance":[7],"the":[8,18,55,66,76,83,104,124,133,140,147,153,156,162,166,179,197,211,226,237],"availability":[9,34,58,99,157,181],"of":[10,21,57,139,182,189,228],"IoT":[11,71,183],"devices":[12,184],"and":[13,25,41,53,59,73,82,103,113,123,161,192,207,224],"data":[14,74,111],"by":[15,146],"focusing":[16],"on":[17],"rapid":[19],"prediction":[20,227],"instantaneous":[22,201],"fault":[23,222],"rates":[24,203],"temperatures.":[26],"Temperature":[27],"plays":[28],"a":[29,46,92],"crucial":[30],"role":[31],"in":[32,178,220,236],"device":[33,72],"as":[35,45],"it":[36,232],"significantly":[37],"impacts":[38],"equipment":[39,51,114],"performance":[40],"lifespan.":[42],"It":[43],"serves":[44],"vital":[47],"indicator":[48],"for":[49,70,98,120,210],"predicting":[50],"failure":[52,202],"enables":[54],"improvement":[56],"efficiency":[60],"through":[61],"effective":[62],"temperature":[63,168],"management.":[64],"In":[65],"proposed":[67,134,141],"optimization":[68,100,112,135,164,215],"scheme":[69,142],"availability,":[75],"artificial":[77],"neural":[78,93,126],"network":[79,127],"(ANN)":[80],"algorithm":[81,87,97,128,216],"K-Nearest":[84],"Neighbours":[85],"(KNN)":[86],"are":[88,118],"utilized":[89],"drive":[91],"network.":[94],"The":[95,137,200],"preliminary":[96],"is":[101,106,129,143],"chosen,":[102],"target":[105],"divided":[107],"into":[108],"two":[109],"parts:":[110],"optimization.":[115],"Suitable":[116],"models":[117],"constructed":[119],"each":[121],"part,":[122],"KNN-driven":[125],"employed":[130],"solve":[132],"model.":[136],"effectiveness":[138],"clearly":[144],"demonstrated":[145],"verification":[148],"results.":[149],"When":[150],"compared":[151,195],"benchmark":[154],"method,":[155,160],"forward":[158],"fault-tolerant":[159],"heuristic":[163],"algorithm,":[165],"maximum":[167],"was":[169],"successfully":[170],"reduced":[171],"2.0750":[173],"\u00b0C.":[174],"Moreover,":[175],"significant":[176],"enhancements":[177],"average":[180],"were":[185,204],"achieved,":[186],"with":[187],"improvements":[188],"27.03%,":[190],"15.76%,":[191],"10.85%":[193],"respectively":[194,209],"aforementioned":[198],"methods.":[199],"100%,":[205],"87.89%,":[206],"84.4%":[208],"three":[212],"algorithms.":[213],"This":[214],"proves":[217],"highly":[218],"efficient":[219],"eliminating":[221],"signals":[223],"optimizing":[225],"time-limited":[229],"satisfaction.":[230],"Furthermore,":[231],"exhibits":[233],"strategic":[234],"foresight":[235],"decision-making":[238],"process.":[239]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}