{"id":"https://openalex.org/W4211117330","doi":"https://doi.org/10.1109/jiot.2022.3150849","title":"MAIC: Metalearning-Based Adaptive In-Field Calibration for IoT Air Quality Monitoring System","display_name":"MAIC: Metalearning-Based Adaptive In-Field Calibration for IoT Air Quality Monitoring System","publication_year":2022,"publication_date":"2022-02-12","ids":{"openalex":"https://openalex.org/W4211117330","doi":"https://doi.org/10.1109/jiot.2022.3150849"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2022.3150849","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2022.3150849","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041853363","display_name":"Ning Liu","orcid":"https://orcid.org/0000-0003-0418-4516"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Liu","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0418-4516","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048556510","display_name":"Zhiyuan Wu","orcid":"https://orcid.org/0000-0001-5694-2441"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyuan Wu","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100360775","display_name":"Guodong Li","orcid":"https://orcid.org/0000-0003-3137-8471"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guodong Li","raw_affiliation_strings":["Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446465","display_name":"Xinyu Liu","orcid":"https://orcid.org/0009-0009-1047-3139"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Liu","raw_affiliation_strings":["DSIT Research Center, Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DSIT Research Center, Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115695512","display_name":"Yue Wang","orcid":"https://orcid.org/0000-0002-7496-8888"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Wang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100351850","display_name":"Lin Zhang","orcid":"https://orcid.org/0000-0002-4394-2685"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhang","raw_affiliation_strings":["Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-4394-2685","affiliations":[{"raw_affiliation_string":"Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9207,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.68379383,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"9","issue":"17","first_page":"15928","last_page":"15941"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9998999834060669,"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":0.9998999834060669,"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/T10190","display_name":"Air Quality and Health Impacts","score":0.9790999889373779,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9726999998092651,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.785373866558075},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5917437076568604},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.5819716453552246},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5217379331588745},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44563767313957214},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4238669276237488},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41567811369895935},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3978470265865326},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34647607803344727},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3450748920440674},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08223360776901245}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.785373866558075},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5917437076568604},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.5819716453552246},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5217379331588745},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44563767313957214},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4238669276237488},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41567811369895935},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3978470265865326},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34647607803344727},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3450748920440674},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08223360776901245},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2022.3150849","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2022.3150849","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1712584899","https://openalex.org/W1805434785","https://openalex.org/W1812709428","https://openalex.org/W1983617042","https://openalex.org/W1993067153","https://openalex.org/W2005830998","https://openalex.org/W2010910059","https://openalex.org/W2012404575","https://openalex.org/W2035930426","https://openalex.org/W2039731683","https://openalex.org/W2052579090","https://openalex.org/W2067428324","https://openalex.org/W2068743750","https://openalex.org/W2079204536","https://openalex.org/W2079811428","https://openalex.org/W2094482372","https://openalex.org/W2153707811","https://openalex.org/W2166799378","https://openalex.org/W2194775991","https://openalex.org/W2219175658","https://openalex.org/W2295598076","https://openalex.org/W2426723127","https://openalex.org/W2475217919","https://openalex.org/W2498307004","https://openalex.org/W2509697492","https://openalex.org/W2531469489","https://openalex.org/W2548430090","https://openalex.org/W2566667959","https://openalex.org/W2611252840","https://openalex.org/W2614075354","https://openalex.org/W2725983097","https://openalex.org/W2734098629","https://openalex.org/W2751208088","https://openalex.org/W2784031884","https://openalex.org/W2787501667","https://openalex.org/W2794363191","https://openalex.org/W2880156893","https://openalex.org/W2922446486","https://openalex.org/W2963263347","https://openalex.org/W2964105864","https://openalex.org/W2972839598","https://openalex.org/W2985346138","https://openalex.org/W2998741637","https://openalex.org/W4212774754","https://openalex.org/W4248938951","https://openalex.org/W4293407356","https://openalex.org/W6712906272","https://openalex.org/W6724142714","https://openalex.org/W6726497184","https://openalex.org/W6735236233","https://openalex.org/W6736057607","https://openalex.org/W6747943641","https://openalex.org/W6750222692"],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W2365736347","https://openalex.org/W2047454415","https://openalex.org/W2070040999","https://openalex.org/W2387293848","https://openalex.org/W2250140200","https://openalex.org/W3121791438"],"abstract_inverted_index":{"Air":[0],"pollution":[1],"has":[2,14,181],"become":[3],"a":[4,90,133],"global":[5],"threat":[6],"to":[7,46,58,64,100,103,105,131,149,162],"human":[8],"health.":[9],"Fine-grained":[10],"air":[11,33],"quality":[12,34],"monitoring":[13,35],"attracted":[15],"much":[16],"attention":[17],"in":[18,138,200],"recent":[19],"years.":[20],"Low-cost":[21],"calibrated":[22],"sensors":[23],"make":[24],"it":[25,55],"possible":[26],"for":[27,68,120,210],"the":[28,39,47,74,139,151,157,164,194,201,211],"large-scale":[29],"deployment":[30,44,203],"of":[31,51],"IoT":[32],"systems.":[36],"In":[37],"practice,":[38],"calibration":[40,66,88,94,122,196],"performance":[41],"degrades":[42],"after":[43],"due":[45],"dynamic":[48],"and":[49,78,174,184],"diversity":[50],"system":[52],"conditions.":[53,71,169,189],"However,":[54],"is":[56,129,147],"infeasible":[57],"collect":[59],"sufficient":[60],"in-field":[61,87,93,213],"reference":[62,214],"data":[63,153,176,204],"train":[65,132],"models":[67],"these":[69],"new":[70,106],"To":[72,109],"address":[73],"<italic":[75,79],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[76,80],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">multicondition</i>":[77],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">few-data</i>":[81],"challenge,":[82],"we":[83,114],"proposed":[84,191],"metalearning-based":[85,91],"adaptive":[86,92],"(MAIC),":[89],"algorithm.":[95],"Specifically,":[96],"MAIC":[97,180],"adopts":[98],"metalearning":[99],"learn":[101,150],"how":[102],"adapt":[104],"conditions":[107],"quickly.":[108],"effectively":[110],"leverage":[111],"historical":[112],"data,":[113],"first":[115],"develop":[116],"task":[117],"generation":[118],"strategies":[119],"sensor":[121],"under":[123,186],"this":[124],"scheme.":[125],"Then,":[126],"task-oriented":[127],"optimization":[128],"introduced":[130],"model":[134],"with":[135,207],"superior":[136],"adaptability":[137,185],"offline":[140],"training":[141],"phase.":[142],"Furthermore,":[143],"an":[144],"adaptation":[145],"method":[146,192],"presented":[148],"task-specific":[152],"distribution":[154],"without":[155],"forgetting":[156],"metaknowledge,":[158],"enabling":[159],"continual":[160],"learning":[161],"utilize":[163],"temporal":[165],"dependencies":[166],"between":[167],"multiple":[168,187],"Our":[170,190],"evaluations":[171],"on":[172],"synthetic":[173],"real-world":[175,202],"sets":[177],"show":[178],"that":[179],"high":[182],"robustness":[183],"complicated":[188],"outperforms":[193],"state-of-the-art":[195],"algorithms":[197],"by":[198],"4.23%\u201329.46%":[199],"set,":[205],"but":[206],"fewer":[208],"requirements":[209],"available":[212],"data.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
