{"id":"https://openalex.org/W3045806247","doi":"https://doi.org/10.3390/s20154217","title":"Towards Outlier Sensor Detection in Ambient Intelligent Platforms\u2014A Low-Complexity Statistical Approach","display_name":"Towards Outlier Sensor Detection in Ambient Intelligent Platforms\u2014A Low-Complexity Statistical Approach","publication_year":2020,"publication_date":"2020-07-29","ids":{"openalex":"https://openalex.org/W3045806247","doi":"https://doi.org/10.3390/s20154217","mag":"3045806247","pmid":"https://pubmed.ncbi.nlm.nih.gov/32751248"},"language":"en","primary_location":{"id":"doi:10.3390/s20154217","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20154217","pdf_url":null,"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://doi.org/10.3390/s20154217","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088729727","display_name":"Diego Mart\u00edn","orcid":"https://orcid.org/0000-0001-8810-0695"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Diego Mart\u00edn","raw_affiliation_strings":["ETSI de Telecomunicaci\u00f3n, Universidad Polit\u00e9cnica de Madrid, Av. Complutense 30, 28040 Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"ETSI de Telecomunicaci\u00f3n, Universidad Polit\u00e9cnica de Madrid, Av. Complutense 30, 28040 Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075842523","display_name":"Damaris Fuentes-Lorenzo","orcid":"https://orcid.org/0000-0002-7458-0103"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Damaris Fuentes-Lorenzo","raw_affiliation_strings":["ETSI de Telecomunicaci\u00f3n, Universidad Polit\u00e9cnica de Madrid, Av. Complutense 30, 28040 Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"ETSI de Telecomunicaci\u00f3n, Universidad Polit\u00e9cnica de Madrid, Av. Complutense 30, 28040 Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010896910","display_name":"Borja Bordel","orcid":"https://orcid.org/0000-0001-7815-5924"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Borja Bordel","raw_affiliation_strings":["ETSI Sistemas Inform\u00e1ticos, Universidad Polit\u00e9cnica de Madrid, Calle de Alan Turing s/n, 28031 Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"ETSI Sistemas Inform\u00e1ticos, Universidad Polit\u00e9cnica de Madrid, Calle de Alan Turing s/n, 28031 Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087495651","display_name":"Ram\u00f3n Alcarria","orcid":"https://orcid.org/0000-0002-1183-9579"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ram\u00f3n Alcarria","raw_affiliation_strings":["ETSI en Topograf\u00eda, Geodesia y Cartograf\u00eda, Universidad Polit\u00e9cnica de Madrid, Camino de la Arboleda s/n, 28031 Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"ETSI en Topograf\u00eda, Geodesia y Cartograf\u00eda, Universidad Polit\u00e9cnica de Madrid, Camino de la Arboleda s/n, 28031 Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088729727"],"corresponding_institution_ids":["https://openalex.org/I88060688"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.8228,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.79079742,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"20","issue":"15","first_page":"4217","last_page":"4217"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9901999831199646,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.8026261329650879},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7307233810424805},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7299262285232544},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6644811630249023},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.5683989524841309},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5646030306816101},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4926910996437073},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.44800645112991333},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4214813709259033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4076926112174988},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.374516099691391},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33197933435440063},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.26060715317726135},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.0945175290107727}],"concepts":[{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.8026261329650879},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7307233810424805},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7299262285232544},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6644811630249023},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.5683989524841309},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5646030306816101},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4926910996437073},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.44800645112991333},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4214813709259033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4076926112174988},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.374516099691391},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33197933435440063},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.26060715317726135},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0945175290107727}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s20154217","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20154217","pdf_url":null,"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:32751248","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32751248","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:a0a0c99e44244e239f7a968ce0b43b4d","is_oa":true,"landing_page_url":"https://doaj.org/article/a0a0c99e44244e239f7a968ce0b43b4d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 20, Iss 15, p 4217 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/15/4217/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s20154217","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 20; Issue 15; Pages: 4217","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7436267","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7436267","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"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/s20154217","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20154217","pdf_url":null,"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":[{"score":0.6499999761581421,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W353413754","https://openalex.org/W1527292163","https://openalex.org/W1548964396","https://openalex.org/W1758839374","https://openalex.org/W1906332306","https://openalex.org/W1964723226","https://openalex.org/W1984061847","https://openalex.org/W2024081693","https://openalex.org/W2060298585","https://openalex.org/W2084032127","https://openalex.org/W2084512860","https://openalex.org/W2122159287","https://openalex.org/W2122646361","https://openalex.org/W2126831543","https://openalex.org/W2131989759","https://openalex.org/W2157355630","https://openalex.org/W2163016402","https://openalex.org/W2166163519","https://openalex.org/W2183690400","https://openalex.org/W2293689143","https://openalex.org/W2388695844","https://openalex.org/W2443352794","https://openalex.org/W2506629289","https://openalex.org/W2546677102","https://openalex.org/W2731977498","https://openalex.org/W2756489700","https://openalex.org/W2768800090","https://openalex.org/W2905180830","https://openalex.org/W2949017337","https://openalex.org/W2987070760","https://openalex.org/W2991580253","https://openalex.org/W3005448318","https://openalex.org/W3150435615","https://openalex.org/W3183437131","https://openalex.org/W4238293282","https://openalex.org/W4243687877","https://openalex.org/W6684823039","https://openalex.org/W6685897737","https://openalex.org/W6696667141","https://openalex.org/W6798838187"],"related_works":["https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729","https://openalex.org/W3190734578","https://openalex.org/W1595351371","https://openalex.org/W91065195","https://openalex.org/W2964556660","https://openalex.org/W3191523773"],"abstract_inverted_index":{"Sensor":[0],"networks":[1],"in":[2,46,67,74,88],"real-world":[3,149],"environments,":[4],"such":[5],"as":[6,152],"smart":[7],"cities":[8],"or":[9],"ambient":[10],"intelligent":[11],"platforms,":[12],"provide":[13,131],"applications":[14],"with":[15,64,119],"large":[16],"and":[17,40,43,71,81,113,123,136,146],"heterogeneous":[18],"sets":[19],"of":[20,49,69,84],"data":[21],"streams.":[22],"Outliers-observations":[23],"that":[24],"do":[25],"not":[26],"conform":[27],"to":[28,38,54,62,76,138],"an":[29],"expected":[30],"behavior-has":[31],"then":[32],"turned":[33],"into":[34],"a":[35,128],"crucial":[36],"task":[37],"establish":[39],"maintain":[41],"secure":[42],"reliable":[44],"databases":[45],"this":[47,92],"kind":[48],"platforms.":[50],"However,":[51],"the":[52,78,85,133,143],"procedures":[53],"obtain":[55],"accurate":[56],"models":[57],"for":[58,155],"erratic":[59],"observations":[60],"have":[61],"operate":[63],"low":[65,120],"complexity":[66],"terms":[68],"storage":[70,82],"computational":[72,124],"time,":[73],"order":[75],"attend":[77],"limited":[79],"processing":[80],"capabilities":[83],"sensor":[86],"nodes":[87],"these":[89],"environments.":[90],"In":[91],"work,":[93],"we":[94,130],"analyze":[95],"three":[96,101],"binary":[97],"classifiers":[98],"based":[99,141],"on":[100,142],"statistical":[102],"prediction":[103],"models-ARIMA":[104],"(Auto-Regressive":[105],"Integrated":[106],"Moving":[107],"Average),":[108],"GAM":[109],"(Generalized":[110],"Additive":[111],"Model),":[112],"LOESS":[114],"(LOcal":[115],"RegrESSion)-for":[116],"outlier":[117],"detection":[118],"memory":[121],"consumption":[122],"time":[125],"rates.":[126],"As":[127],"result,":[129],"(1)":[132],"best":[134],"classifier":[135],"settings":[137],"detect":[139],"outliers,":[140],"ARIMA":[144],"model,":[145],"(2)":[147],"two":[148],"classified":[150],"datasets":[151],"ground":[153],"truths":[154],"future":[156],"research.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
