{"id":"https://openalex.org/W3009477105","doi":"https://doi.org/10.1109/tim.2020.2978596","title":"A Deep Calibration Method for Low-Cost Air Monitoring Sensors With Multilevel Sequence Modeling","display_name":"A Deep Calibration Method for Low-Cost Air Monitoring Sensors With Multilevel Sequence Modeling","publication_year":2020,"publication_date":"2020-03-05","ids":{"openalex":"https://openalex.org/W3009477105","doi":"https://doi.org/10.1109/tim.2020.2978596","mag":"3009477105"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2020.2978596","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2020.2978596","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Transactions on Instrumentation and Measurement","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/A5103975844","display_name":"Haomin Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haomin Yu","raw_affiliation_strings":["Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005350496","display_name":"Qingyong Li","orcid":"https://orcid.org/0000-0002-3860-4809"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyong Li","raw_affiliation_strings":["Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071185969","display_name":"Rao Wang","orcid":"https://orcid.org/0000-0003-1058-7442"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rao Wang","raw_affiliation_strings":["Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068707911","display_name":"Zechuan Chen","orcid":"https://orcid.org/0000-0003-4363-5949"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zechuan Chen","raw_affiliation_strings":["Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110567444","display_name":"Yingjun Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingjun Zhang","raw_affiliation_strings":["Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018191388","display_name":"Yangli\u2010ao Geng","orcid":"https://orcid.org/0000-0003-0173-4041"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangli-ao Geng","raw_affiliation_strings":["Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038765418","display_name":"Ling Zhang","orcid":"https://orcid.org/0000-0001-8371-5252"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ling Zhang","raw_affiliation_strings":["Hebei Sailhero Environmental Protection Hi-tech., Ltd, Hebei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei Sailhero Environmental Protection Hi-tech., Ltd, Hebei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045930289","display_name":"Houxin Cui","orcid":"https://orcid.org/0000-0003-4692-2361"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Houxin Cui","raw_affiliation_strings":["Hebei Sailhero Environmental Protection Hi-tech., Ltd, Hebei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei Sailhero Environmental Protection Hi-tech., Ltd, Hebei, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045144626","display_name":"Ke Zhang","orcid":"https://orcid.org/0000-0001-5288-9372"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ke Zhang","raw_affiliation_strings":["Hebei Sailhero Environmental Protection Hi-tech., Ltd, Hebei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei Sailhero Environmental Protection Hi-tech., Ltd, Hebei, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5211,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.79612501,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"69","issue":"9","first_page":"7167","last_page":"7179"},"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9945999979972839,"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"}},{"id":"https://openalex.org/T11963","display_name":"Impact of Light on Environment and Health","score":0.9592000246047974,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/calibration","display_name":"Calibration","score":0.6378090381622314},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6336898803710938},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.5467303395271301},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5077925324440002},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4990415573120117},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.49380454421043396},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.459064781665802},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.42565488815307617},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3499424457550049},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.26600149273872375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24516814947128296},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1568789780139923},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.13145703077316284},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08728644251823425},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0782000720500946}],"concepts":[{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6378090381622314},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6336898803710938},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.5467303395271301},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5077925324440002},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4990415573120117},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.49380454421043396},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.459064781665802},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.42565488815307617},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3499424457550049},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26600149273872375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24516814947128296},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1568789780139923},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.13145703077316284},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08728644251823425},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0782000720500946},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"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/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2020.2978596","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2020.2978596","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Responsible consumption and production","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/12"}],"awards":[{"id":"https://openalex.org/G2894170670","display_name":null,"funder_award_id":"2017YFF0108300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1522301498","https://openalex.org/W1678356000","https://openalex.org/W1811254738","https://openalex.org/W1971402834","https://openalex.org/W1975635805","https://openalex.org/W1994124263","https://openalex.org/W2039731683","https://openalex.org/W2040731319","https://openalex.org/W2064127932","https://openalex.org/W2064675550","https://openalex.org/W2068743750","https://openalex.org/W2089701921","https://openalex.org/W2095705004","https://openalex.org/W2107182304","https://openalex.org/W2107878631","https://openalex.org/W2135046866","https://openalex.org/W2135747820","https://openalex.org/W2137505898","https://openalex.org/W2157331557","https://openalex.org/W2158528396","https://openalex.org/W2166799378","https://openalex.org/W2167453047","https://openalex.org/W2295598076","https://openalex.org/W2471323753","https://openalex.org/W2502409975","https://openalex.org/W2566667959","https://openalex.org/W2604847698","https://openalex.org/W2604927196","https://openalex.org/W2756901848","https://openalex.org/W2800137521","https://openalex.org/W2808413385","https://openalex.org/W2808870406","https://openalex.org/W2809003554","https://openalex.org/W2809035759","https://openalex.org/W2809291355","https://openalex.org/W2809334854","https://openalex.org/W2880156893","https://openalex.org/W2907586903","https://openalex.org/W2907856150","https://openalex.org/W2911884683","https://openalex.org/W2953713155","https://openalex.org/W2958615776","https://openalex.org/W2962706528","https://openalex.org/W2964121744","https://openalex.org/W2964208452","https://openalex.org/W2985346138","https://openalex.org/W3102476541","https://openalex.org/W4255176254","https://openalex.org/W6631190155","https://openalex.org/W6638742206","https://openalex.org/W6644281426","https://openalex.org/W6674330103"],"related_works":["https://openalex.org/W4390516098","https://openalex.org/W2161474341","https://openalex.org/W4302615923","https://openalex.org/W2181948922","https://openalex.org/W3203142394","https://openalex.org/W2351061015","https://openalex.org/W2384362569","https://openalex.org/W4220731478","https://openalex.org/W1974101135","https://openalex.org/W2017509870"],"abstract_inverted_index":{"Air":[0],"pollution":[1,27],"is":[2,55,154],"growing":[3],"ever":[4],"more":[5],"serious":[6],"as":[7,40],"a":[8,41,61,81,124,148],"result":[9],"of":[10,13,43,77,135],"rising":[11],"consumption":[12],"energy":[14],"and":[15,80,95,107,117],"other":[16],"natural":[17],"resources.":[18],"Generally,":[19],"governmental":[20],"static":[21],"monitoring":[22,46,69],"stations":[23],"provide":[24],"accurate":[25],"air":[26,45,68],"data,":[28],"but":[29,111],"they":[30],"are":[31,90,141],"sparsely":[32],"distributed":[33,50],"in":[34,72],"the":[35,73,84,121,129,136,144,168],"space.":[36],"In":[37,83,120],"contrast,":[38],"microstations":[39],"kind":[42],"low-cost":[44,67],"equipment":[47],"can":[48,101],"be":[49,139],"densely":[51],"though":[52],"their":[53],"accuracy":[54],"relatively":[56],"low.":[57],"This":[58],"article":[59],"proposes":[60],"deep":[62],"calibration":[63],"method":[64,153,166],"(DeepCM)":[65],"for":[66],"sensors":[70],"equipped":[71],"microstations,":[74],"which":[75],"consists":[76],"an":[78],"encoder":[79,130],"decoder.":[82],"encoding":[85],"stage,":[86,123],"multilevel":[87],"time-series":[88,97],"features":[89,100,134],"extracted,":[91],"including":[92],"local,":[93,105],"global,":[94,106],"periodic":[96,108],"features.":[98],"These":[99],"not":[102],"only":[103],"capture":[104],"trend":[109],"information,":[110],"also":[112],"benefit":[113],"to":[114,138,146],"alleviating":[115],"cross-interference":[116],"noise":[118],"effect.":[119],"decoding":[122],"final":[125],"feature":[126],"extracted":[127],"by":[128,171],"along":[131],"with":[132,173],"initial":[133],"moment":[137],"calibrated":[140,149],"fed":[142],"into":[143],"decoder":[145],"obtain":[147],"result.":[150],"The":[151,160],"proposed":[152],"evaluated":[155],"on":[156],"two":[157],"real-world":[158],"datasets.":[159],"experimental":[161],"results":[162],"demonstrate":[163],"that":[164],"our":[165],"yields":[167],"best":[169],"performance":[170],"comparison":[172],"eight":[174],"baseline":[175],"methods.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}