{"id":"https://openalex.org/W4393956413","doi":"https://doi.org/10.1145/3603166.3632164","title":"Tiny-Impute: A Framework for On-device Data Quality Validation, Hybrid Anomaly Detection, and Data Imputation at the Edge","display_name":"Tiny-Impute: A Framework for On-device Data Quality Validation, Hybrid Anomaly Detection, and Data Imputation at the Edge","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4393956413","doi":"https://doi.org/10.1145/3603166.3632164"},"language":"en","primary_location":{"id":"doi:10.1145/3603166.3632164","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3603166.3632164","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3603166.3632164","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3603166.3632164","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055520279","display_name":"Shamil Al-Ameen","orcid":"https://orcid.org/0009-0004-8020-2856"},"institutions":[{"id":"https://openalex.org/I12150220","display_name":"University of Mosul","ror":"https://ror.org/039cf4q47","country_code":"IQ","type":"education","lineage":["https://openalex.org/I12150220"]},{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB","IQ"],"is_corresponding":true,"raw_author_name":"Shamil Al-Ameen","raw_affiliation_strings":["School of Computing, Newcastle University, Newcastle Upon Tyne, Tyne and Wear, UK","University of Mosul, Mosul, Ninevah, Iraq","School of Computing, Newcastle University, Newcastle Upon Tyne, Tyne and Wear, UK University of Mosul, Mosul, Ninevah, Iraq"],"raw_orcid":"https://orcid.org/0009-0004-8020-2856","affiliations":[{"raw_affiliation_string":"School of Computing, Newcastle University, Newcastle Upon Tyne, Tyne and Wear, UK","institution_ids":["https://openalex.org/I84884186"]},{"raw_affiliation_string":"University of Mosul, Mosul, Ninevah, Iraq","institution_ids":["https://openalex.org/I12150220"]},{"raw_affiliation_string":"School of Computing, Newcastle University, Newcastle Upon Tyne, Tyne and Wear, UK University of Mosul, Mosul, Ninevah, Iraq","institution_ids":["https://openalex.org/I12150220","https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072224562","display_name":"Bharath Sudharsan","orcid":"https://orcid.org/0000-0001-5906-113X"},"institutions":[{"id":"https://openalex.org/I4210135317","display_name":"General Motors (Poland)","ror":"https://ror.org/03n3nz506","country_code":"PL","type":"company","lineage":["https://openalex.org/I118136607","https://openalex.org/I4210135317"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Bharath Sudharsan","raw_affiliation_strings":["General Motors, Limerick, IE"],"raw_orcid":"https://orcid.org/0000-0001-5906-113X","affiliations":[{"raw_affiliation_string":"General Motors, Limerick, IE","institution_ids":["https://openalex.org/I4210135317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006195175","display_name":"Tomasz Szyd\u0142o","orcid":"https://orcid.org/0000-0003-4101-2115"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tomasz Szydlo","raw_affiliation_strings":["School of Computing, Newcastle University, Newcastle Upon Tyne, UK"],"raw_orcid":"https://orcid.org/0000-0003-4101-2115","affiliations":[{"raw_affiliation_string":"School of Computing, Newcastle University, Newcastle Upon Tyne, UK","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001882520","display_name":"Roua Al-Taie","orcid":null},"institutions":[{"id":"https://openalex.org/I12150220","display_name":"University of Mosul","ror":"https://ror.org/039cf4q47","country_code":"IQ","type":"education","lineage":["https://openalex.org/I12150220"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Roua Al-Taie","raw_affiliation_strings":["University of Mosul, Mosul, IQ"],"raw_orcid":"https://orcid.org/0009-0002-7301-0149","affiliations":[{"raw_affiliation_string":"University of Mosul, Mosul, IQ","institution_ids":["https://openalex.org/I12150220"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023485103","display_name":"Tejal Shah","orcid":"https://orcid.org/0000-0001-7060-4211"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tejal Shah","raw_affiliation_strings":["School of Computing, Newcastle University, Newcastle Upon Tyne, UK"],"raw_orcid":"https://orcid.org/0000-0001-7060-4211","affiliations":[{"raw_affiliation_string":"School of Computing, Newcastle University, Newcastle Upon Tyne, UK","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072670483","display_name":"Rajiv Ranjan","orcid":"https://orcid.org/0000-0002-6610-1328"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rajiv Ranjan","raw_affiliation_strings":["School of Computing, Newcastle University, Newcastle Upon Tyne, UK"],"raw_orcid":"https://orcid.org/0000-0002-6610-1328","affiliations":[{"raw_affiliation_string":"School of Computing, Newcastle University, Newcastle Upon Tyne, UK","institution_ids":["https://openalex.org/I84884186"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5055520279"],"corresponding_institution_ids":["https://openalex.org/I12150220","https://openalex.org/I84884186"],"apc_list":null,"apc_paid":null,"fwci":1.1684,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.83627749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9961000084877014,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9961000084877014,"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/T11719","display_name":"Data Quality and Management","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9650999903678894,"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/imputation","display_name":"Imputation (statistics)","score":0.7710644602775574},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7079892158508301},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6484493613243103},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.5032688975334167},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.485125869512558},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4454030394554138},{"id":"https://openalex.org/keywords/data-validation","display_name":"Data validation","score":0.41614609956741333},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.3517358899116516},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24302208423614502},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1566992998123169},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10788708925247192},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09998959302902222}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.7710644602775574},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7079892158508301},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6484493613243103},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.5032688975334167},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.485125869512558},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4454030394554138},{"id":"https://openalex.org/C92446256","wikidata":"https://www.wikidata.org/wiki/Q3306762","display_name":"Data validation","level":2,"score":0.41614609956741333},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.3517358899116516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24302208423614502},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1566992998123169},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10788708925247192},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09998959302902222},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3603166.3632164","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3603166.3632164","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3603166.3632164","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.ncl.ac.uk:300051","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402485","display_name":"Newcastle University ePrints (Newcastle Univesity)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I84884186","host_organization_name":"Newcastle University","host_organization_lineage":["https://openalex.org/I84884186"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"doi:10.1145/3603166.3632164","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3603166.3632164","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3603166.3632164","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4393956413.pdf","grobid_xml":"https://content.openalex.org/works/W4393956413.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W2074613498","https://openalex.org/W2186290821","https://openalex.org/W2225369091","https://openalex.org/W2955443275","https://openalex.org/W2979719828","https://openalex.org/W3013886221","https://openalex.org/W3189002675","https://openalex.org/W3193011821","https://openalex.org/W3206456343","https://openalex.org/W4224282325","https://openalex.org/W4228997269","https://openalex.org/W4229643584","https://openalex.org/W4285101841","https://openalex.org/W4292635832","https://openalex.org/W4313433600","https://openalex.org/W4367359481","https://openalex.org/W6888996992","https://openalex.org/W6907631448","https://openalex.org/W6907645701","https://openalex.org/W6944880721","https://openalex.org/W6945088970"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W2055961818","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W3028371478","https://openalex.org/W2081476516","https://openalex.org/W2581984549"],"abstract_inverted_index":{"In":[0,96],"the":[1,92,174,189],"landscape":[2],"of":[3,5,114,168],"Internet":[4],"Things":[6],"(IoT)":[7],"systems,":[8],"data":[9,29,36,82,89,183],"quality":[10,37,184],"degradation":[11],"can":[12],"occur":[13],"continuously":[14],"for":[15,181],"several":[16],"reasons,":[17],"such":[18],"as":[19,74,76],"sensor":[20,81,171],"malfunctions,":[21],"intermittent":[22],"network":[23],"availability,":[24],"device":[25],"maintenance,":[26],"or":[27],"incomplete":[28],"collection.":[30],"This":[31],"paper":[32],"proposes":[33],"three":[34],"efficient":[35],"validation":[38,185],"and":[39,44,47,56,65,125,179,186],"imputation":[40],"algorithms":[41,59,140,164],"that":[42,136,162],"identify":[43],"replace":[45],"noisy":[46],"missing":[48],"values":[49],"with":[50,70,152],"better-quality":[51],"data.":[52],"We":[53,78],"extensively":[54],"stress-tested":[55],"evaluated":[57],"our":[58,139,163],"by":[60],"deploying":[61],"them":[62],"on":[63,137,142,150,155,176],"microcontrollers":[64],"small":[66],"CPU-based":[67],"IoT":[68],"boards":[69],"memory":[71],"limited":[72],"to":[73],"little":[75],"32KB.":[77],"simulated":[79],"a":[80],"stream":[83],"using":[84],"five":[85],"real-world":[86],"datasets,":[87],"including":[88],"collected":[90],"from":[91],"Newcastle":[93],"Urban":[94],"Observatory.":[95],"this":[97],"setup,":[98],"each":[99],"algorithm":[100],"excelled":[101],"in":[102,112],"different":[103],"areas,":[104],"consistently":[105],"demonstrating":[106],"high":[107,115],"performance":[108,149],"across":[109],"100":[110],"samples":[111],"terms":[113],"energy":[116],"efficiency":[117],"(0.014":[118],"J),":[119],"low":[120,126],"computation":[121],"time":[122],"(85.94":[123],"ms),":[124],"error":[127],"rates":[128],"(0.0019":[129],"MAE,":[130],"0.0027":[131],"RMSE).":[132],"Remarkably,":[133],"we":[134],"found":[135],"average,":[138],"running":[141],"hardware,":[143],"costing":[144],"less":[145],"than":[146],"$10,":[147],"showed":[148],"par":[151],"state-of-the-art":[153],"methods":[154],"high-end":[156],"devices.":[157],"The":[158],"results":[159],"also":[160],"demonstrated":[161],"enabled":[165],"on-device":[166],"cleansing":[167],"live":[169],"streaming":[170],"data,":[172],"eliminating":[173],"dependency":[175],"cloud":[177],"services":[178],"allowing":[180],"real-time":[182],"processing":[187],"at":[188],"edge.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-05-15T08:27:34.491423","created_date":"2025-10-10T00:00:00"}
