{"id":"https://openalex.org/W4362720532","doi":"https://doi.org/10.1145/3591356","title":"Online Processing of Vehicular Data on the Edge Through an Unsupervised TinyML Regression Technique","display_name":"Online Processing of Vehicular Data on the Edge Through an Unsupervised TinyML Regression Technique","publication_year":2023,"publication_date":"2023-04-08","ids":{"openalex":"https://openalex.org/W4362720532","doi":"https://doi.org/10.1145/3591356"},"language":"en","primary_location":{"id":"doi:10.1145/3591356","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3591356","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3591356","source":{"id":"https://openalex.org/S136160450","display_name":"ACM Transactions on Embedded Computing Systems","issn_l":"1539-9087","issn":["1539-9087","1558-3465"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Embedded Computing Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3591356","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028271064","display_name":"Pedro Andrade","orcid":"https://orcid.org/0000-0002-7729-9085"},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]},{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]},{"id":"https://openalex.org/I4210121509","display_name":"Institute of Mechanical Engineering and Industrial Mangement","ror":"https://ror.org/02pk7c879","country_code":"PT","type":"facility","lineage":["https://openalex.org/I182534213","https://openalex.org/I4210121509"]},{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["BR","GB","PT"],"is_corresponding":false,"raw_author_name":"Pedro Andrade","raw_affiliation_strings":["","Federal University of Rio Grande do Norte, Brazil","Lancaster University, Lancaster, United Kingdom","Faculty of Engineering, University of Porto, Porto, Portugal;","INEGI, Faculty of Engineering, University of Porto, Portugal","Lancaster University, United Kingdom","Federal University of Rio Grande do Norte, Lagoa Nova, Natal, RN, Brazil, 59078-900;"],"raw_orcid":"https://orcid.org/0000-0002-7729-9085","affiliations":[{"raw_affiliation_string":"","institution_ids":[]},{"raw_affiliation_string":"Federal University of Rio Grande do Norte, Brazil","institution_ids":["https://openalex.org/I35046152"]},{"raw_affiliation_string":"Lancaster University, Lancaster, United Kingdom","institution_ids":["https://openalex.org/I67415387"]},{"raw_affiliation_string":"Faculty of Engineering, University of Porto, Porto, Portugal;","institution_ids":["https://openalex.org/I182534213"]},{"raw_affiliation_string":"INEGI, Faculty of Engineering, University of Porto, Portugal","institution_ids":["https://openalex.org/I4210121509","https://openalex.org/I182534213"]},{"raw_affiliation_string":"Lancaster University, United Kingdom","institution_ids":["https://openalex.org/I67415387"]},{"raw_affiliation_string":"Federal University of Rio Grande do Norte, Lagoa Nova, Natal, RN, Brazil, 59078-900;","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079474193","display_name":"Ivanovitch Silva","orcid":"https://orcid.org/0000-0002-0116-6489"},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]},{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]},{"id":"https://openalex.org/I4210121509","display_name":"Institute of Mechanical Engineering and Industrial Mangement","ror":"https://ror.org/02pk7c879","country_code":"PT","type":"facility","lineage":["https://openalex.org/I182534213","https://openalex.org/I4210121509"]},{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["BR","GB","PT"],"is_corresponding":false,"raw_author_name":"Ivanovitch Silva","raw_affiliation_strings":["","Lancaster University, United Kingdom","Lancaster University, Lancaster, United Kingdom","Federal University of Rio Grande do Norte, Brazil","INEGI, Faculty of Engineering, University of Porto, Portugal","Faculty of Engineering, University of Porto, Porto, Portugal;","Federal University of Rio Grande do Norte, Lagoa Nova, Natal, RN, Brazil, 59078-900;"],"raw_orcid":"https://orcid.org/0000-0002-0116-6489","affiliations":[{"raw_affiliation_string":"","institution_ids":[]},{"raw_affiliation_string":"Lancaster University, United Kingdom","institution_ids":["https://openalex.org/I67415387"]},{"raw_affiliation_string":"Lancaster University, Lancaster, United Kingdom","institution_ids":["https://openalex.org/I67415387"]},{"raw_affiliation_string":"Federal University of Rio Grande do Norte, Brazil","institution_ids":["https://openalex.org/I35046152"]},{"raw_affiliation_string":"INEGI, Faculty of Engineering, University of Porto, Portugal","institution_ids":["https://openalex.org/I4210121509","https://openalex.org/I182534213"]},{"raw_affiliation_string":"Faculty of Engineering, University of Porto, Porto, Portugal;","institution_ids":["https://openalex.org/I182534213"]},{"raw_affiliation_string":"Federal University of Rio Grande do Norte, Lagoa Nova, Natal, RN, Brazil, 59078-900;","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108834054","display_name":"Marianne Diniz","orcid":null},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]},{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]},{"id":"https://openalex.org/I4210121509","display_name":"Institute of Mechanical Engineering and Industrial Mangement","ror":"https://ror.org/02pk7c879","country_code":"PT","type":"facility","lineage":["https://openalex.org/I182534213","https://openalex.org/I4210121509"]},{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["BR","GB","PT"],"is_corresponding":false,"raw_author_name":"Marianne Diniz","raw_affiliation_strings":["","Lancaster University, United Kingdom","INEGI, Faculty of Engineering, University of Porto, Portugal","Lancaster University, Lancaster, United Kingdom","Federal University of Rio Grande do Norte, Lagoa Nova, Natal, RN, Brazil, 59078-900;","Faculty of Engineering, University of Porto, Porto, Portugal;","Federal University of Rio Grande do Norte, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-7678-9007","affiliations":[{"raw_affiliation_string":"","institution_ids":[]},{"raw_affiliation_string":"Lancaster University, United Kingdom","institution_ids":["https://openalex.org/I67415387"]},{"raw_affiliation_string":"INEGI, Faculty of Engineering, University of Porto, Portugal","institution_ids":["https://openalex.org/I4210121509","https://openalex.org/I182534213"]},{"raw_affiliation_string":"Lancaster University, Lancaster, United Kingdom","institution_ids":["https://openalex.org/I67415387"]},{"raw_affiliation_string":"Federal University of Rio Grande do Norte, Lagoa Nova, Natal, RN, Brazil, 59078-900;","institution_ids":["https://openalex.org/I35046152"]},{"raw_affiliation_string":"Faculty of Engineering, University of Porto, Porto, Portugal;","institution_ids":["https://openalex.org/I182534213"]},{"raw_affiliation_string":"Federal University of Rio Grande do Norte, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081192943","display_name":"Thommas Flores","orcid":"https://orcid.org/0000-0003-2808-8529"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Thommas Flores","raw_affiliation_strings":["Federal University of Rio Grande do Norte, Brazil"],"raw_orcid":"https://orcid.org/0000-0003-2808-8529","affiliations":[{"raw_affiliation_string":"Federal University of Rio Grande do Norte, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068969835","display_name":"Daniel G. Costa","orcid":"https://orcid.org/0000-0003-3988-8476"},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]},{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]},{"id":"https://openalex.org/I4210121509","display_name":"Institute of Mechanical Engineering and Industrial Mangement","ror":"https://ror.org/02pk7c879","country_code":"PT","type":"facility","lineage":["https://openalex.org/I182534213","https://openalex.org/I4210121509"]}],"countries":["BR","PT"],"is_corresponding":false,"raw_author_name":"Daniel G. Costa","raw_affiliation_strings":["Federal University of Rio Grande do Norte, Natal, Brazil","INEGI, Faculty of Engineering, University of Porto, Portugal"],"raw_orcid":"https://orcid.org/0000-0003-3988-8476","affiliations":[{"raw_affiliation_string":"Federal University of Rio Grande do Norte, Natal, Brazil","institution_ids":["https://openalex.org/I35046152"]},{"raw_affiliation_string":"INEGI, Faculty of Engineering, University of Porto, Portugal","institution_ids":["https://openalex.org/I4210121509","https://openalex.org/I182534213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068590850","display_name":"Eduardo Soares","orcid":"https://orcid.org/0000-0002-2634-8270"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Eduardo Soares","raw_affiliation_strings":["Lancaster University, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-2634-8270","affiliations":[{"raw_affiliation_string":"Lancaster University, United Kingdom","institution_ids":["https://openalex.org/I67415387"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0128,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.72109795,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"23","issue":"3","first_page":"1","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9987999796867371,"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":0.9987999796867371,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9958999752998352,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9944000244140625,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8591190576553345},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6592560410499573},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.5836020112037659},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5627212524414062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5550515651702881},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5435691475868225},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5227413773536682},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5011358261108398},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.48771271109580994},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.48461779952049255},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.47937896847724915},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.42129674553871155},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3839922547340393},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.12044566869735718}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8591190576553345},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6592560410499573},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.5836020112037659},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5627212524414062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5550515651702881},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5435691475868225},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5227413773536682},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5011358261108398},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.48771271109580994},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.48461779952049255},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.47937896847724915},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.42129674553871155},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3839922547340393},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.12044566869735718},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3591356","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3591356","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3591356","source":{"id":"https://openalex.org/S136160450","display_name":"ACM Transactions on Embedded Computing Systems","issn_l":"1539-9087","issn":["1539-9087","1558-3465"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Embedded Computing Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3591356","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3591356","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3591356","source":{"id":"https://openalex.org/S136160450","display_name":"ACM Transactions on Embedded Computing Systems","issn_l":"1539-9087","issn":["1539-9087","1558-3465"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Embedded Computing Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.4300000071525574,"display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G1885850072","display_name":"Associate Laboratory of Energy, Transports and Aeronautics","funder_award_id":"UIDB/50022/2020","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G3794326933","display_name":null,"funder_award_id":"Code 001","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G4999583185","display_name":null,"funder_award_id":"405531/2022-2","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G6377961676","display_name":null,"funder_award_id":"405531/2022-2","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"}],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320334779","display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","ror":"https://ror.org/00snfqn58"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4362720532.pdf","grobid_xml":"https://content.openalex.org/works/W4362720532.grobid-xml"},"referenced_works_count":70,"referenced_works":["https://openalex.org/W1613295827","https://openalex.org/W1677182931","https://openalex.org/W1990785420","https://openalex.org/W2009031743","https://openalex.org/W2153017107","https://openalex.org/W2172064003","https://openalex.org/W2307392679","https://openalex.org/W2405038777","https://openalex.org/W2416799949","https://openalex.org/W2464430814","https://openalex.org/W2540438180","https://openalex.org/W2604738573","https://openalex.org/W2606460416","https://openalex.org/W2765982206","https://openalex.org/W2779495751","https://openalex.org/W2786027963","https://openalex.org/W2787894218","https://openalex.org/W2896732351","https://openalex.org/W2899075956","https://openalex.org/W2909020010","https://openalex.org/W2944442444","https://openalex.org/W2965245466","https://openalex.org/W2966086598","https://openalex.org/W2967906963","https://openalex.org/W2982614921","https://openalex.org/W2984276908","https://openalex.org/W2985082660","https://openalex.org/W2985631896","https://openalex.org/W2996520341","https://openalex.org/W2996880361","https://openalex.org/W2997749734","https://openalex.org/W3004034302","https://openalex.org/W3007281183","https://openalex.org/W3007296045","https://openalex.org/W3007729836","https://openalex.org/W3013886221","https://openalex.org/W3014014716","https://openalex.org/W3035005838","https://openalex.org/W3038392781","https://openalex.org/W3039184636","https://openalex.org/W3046156860","https://openalex.org/W3046169356","https://openalex.org/W3067862503","https://openalex.org/W3081141044","https://openalex.org/W3091308137","https://openalex.org/W3092010871","https://openalex.org/W3092429398","https://openalex.org/W3096106062","https://openalex.org/W3101262113","https://openalex.org/W3105670407","https://openalex.org/W3109340983","https://openalex.org/W3110529155","https://openalex.org/W3156772560","https://openalex.org/W3162722976","https://openalex.org/W3175915085","https://openalex.org/W3177140588","https://openalex.org/W3186677043","https://openalex.org/W3192834397","https://openalex.org/W3197413056","https://openalex.org/W3199421948","https://openalex.org/W3202905974","https://openalex.org/W3205667954","https://openalex.org/W3216221236","https://openalex.org/W3217229874","https://openalex.org/W4210360972","https://openalex.org/W4214939762","https://openalex.org/W4220829081","https://openalex.org/W4225654593","https://openalex.org/W4255021149","https://openalex.org/W4280586535"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"The":[0,174,188],"Internet":[1],"of":[2,40,62,90,131],"Things":[3],"(IoT)":[4],"has":[5,58,86],"made":[6],"it":[7,29],"possible":[8],"to":[9,19,25,46,134,161,221],"include":[10],"everyday":[11],"objects":[12,34],"in":[13,79],"a":[14,119,143],"connected":[15],"network,":[16],"allowing":[17],"them":[18],"intelligently":[20],"process":[21,47],"data":[22,48,110,166,183],"and":[23,43,129,198,215],"respond":[24],"their":[26,41],"environment.":[27],"Thus,":[28],"is":[30],"expected":[31],"that":[32,104,212],"those":[33],"will":[35],"gain":[36],"an":[37],"intelligent":[38],"understanding":[39],"environment":[42],"be":[44,135],"able":[45],"more":[49],"efficiently":[50],"than":[51],"before.":[52],"Particularly,":[53],"such":[54,68,97],"edge":[55],"computing":[56],"paradigm":[57],"allowed":[59],"the":[60,73,88,113,127,132,138,154,178,195,222],"execution":[61],"inference":[63],"methods":[64],"on":[65,96,112,126,171],"resource-constrained":[66],"devices":[67],"as":[69],"microcontrollers,":[70],"significantly":[71,205],"changing":[72],"way":[74],"IoT":[75],"applications":[76],"have":[77],"evolved":[78],"recent":[80],"years.":[81],"However,":[82],"although":[83],"this":[84,116],"scenario":[85],"supported":[87],"development":[89],"Tiny":[91],"Machine":[92],"Learning":[93],"(TinyML)":[94],"approaches":[95],"devices,":[98],"there":[99],"are":[100],"still":[101],"some":[102],"challenges":[103],"require":[105],"further":[106],"investigation":[107],"when":[108,164],"optimizing":[109],"streaming":[111],"edge.":[114],"Therefore,":[115],"article":[117],"proposes":[118],"new":[120],"unsupervised":[121],"TinyML":[122],"regression":[123],"technique":[124,140],"based":[125,170],"typicality":[128],"eccentricity":[130],"samples":[133,160],"processed.":[136],"Moreover,":[137],"proposed":[139,155,189],"also":[141],"exploits":[142],"Recursive":[144],"Least":[145],"Squares":[146],"(RLS)":[147],"filter":[148],"approach.":[149],"Combining":[150],"all":[151],"these":[152,172],"features,":[153],"method":[156],"uses":[157],"similarities":[158],"between":[159],"identify":[162],"patterns":[163],"processing":[165],"streams,":[167],"predicting":[168],"outcomes":[169],"patterns.":[173],"results":[175],"obtained":[176],"through":[177],"extensive":[179],"experimentation":[180],"utilizing":[181],"vehicular":[182],"streams":[184],"were":[185,213],"highly":[186],"encouraging.":[187],"algorithm":[190,197],"was":[191],"meticulously":[192],"compared":[193,220],"with":[194,208],"RLS":[196],"Convolutional":[199],"Neural":[200],"Networks":[201],"(CNN).":[202],"It":[203],"exhibited":[204],"superior":[206],"performance,":[207],"mean":[209],"squared":[210],"errors":[211],"4.68":[214],"12.02":[216],"times":[217],"lower,":[218],"respectively,":[219],"aforementioned":[223],"techniques.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4}],"updated_date":"2026-06-21T07:57:09.225873","created_date":"2025-10-10T00:00:00"}