{"id":"https://openalex.org/W4407317509","doi":"https://doi.org/10.1109/tim.2025.3540144","title":"Improving E-Nose Performance: A Novel ELM-Based Dual-Level Joint Domain Adaptation Method for Sensor Drift Data","display_name":"Improving E-Nose Performance: A Novel ELM-Based Dual-Level Joint Domain Adaptation Method for Sensor Drift Data","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407317509","doi":"https://doi.org/10.1109/tim.2025.3540144"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2025.3540144","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3540144","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/A5100771867","display_name":"Zijian Wang","orcid":"https://orcid.org/0009-0009-8923-1043"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zijian Wang","raw_affiliation_strings":["College of Artificial Intelligence, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025127580","display_name":"Linxia Zhang","orcid":"https://orcid.org/0000-0003-2181-8074"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linxia Zhang","raw_affiliation_strings":["College of Artificial Intelligence, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102848549","display_name":"Zhe Li","orcid":"https://orcid.org/0009-0004-2661-3187"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Li","raw_affiliation_strings":["College of Artificial Intelligence, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035048973","display_name":"Shukai Duan","orcid":"https://orcid.org/0000-0002-0040-3796"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shukai Duan","raw_affiliation_strings":["Chongqing Key Laboratory of Brain-inspired Computing and Intelligent Chips, College of Artificial Intelligence, Southwest University, Chongqing, China","College of Artificial Intelligence, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Brain-inspired Computing and Intelligent Chips, College of Artificial Intelligence, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]},{"raw_affiliation_string":"College of Artificial Intelligence, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030424204","display_name":"Yan Jia","orcid":"https://orcid.org/0000-0001-8012-5097"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Yan","raw_affiliation_strings":["Chongqing Key Laboratory of Brain-inspired Computing and Intelligent Chips, College of Artificial Intelligence, Southwest University, Chongqing, China","College of Artificial Intelligence, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Brain-inspired Computing and Intelligent Chips, College of Artificial Intelligence, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]},{"raw_affiliation_string":"College of Artificial Intelligence, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100771867"],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":3.6511,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.91936313,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9994999766349792,"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/T12321","display_name":"Insect Pheromone Research and Control","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10461","display_name":"Gas Sensing Nanomaterials and Sensors","score":0.957099974155426,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/dual","display_name":"Dual (grammatical number)","score":0.6654572486877441},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6462565660476685},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6114431619644165},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4894801378250122},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.33397528529167175},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33267998695373535},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22788286209106445},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13038569688796997}],"concepts":[{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6654572486877441},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6462565660476685},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6114431619644165},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4894801378250122},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.33397528529167175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33267998695373535},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22788286209106445},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13038569688796997},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2025.3540144","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3540144","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":[{"id":"https://metadata.un.org/sdg/7","score":0.5699999928474426,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G7313470017","display_name":null,"funder_award_id":"62176220","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1606305889","https://openalex.org/W1638081485","https://openalex.org/W1997082874","https://openalex.org/W2010910059","https://openalex.org/W2020033987","https://openalex.org/W2022851810","https://openalex.org/W2039222602","https://openalex.org/W2048344731","https://openalex.org/W2059477850","https://openalex.org/W2086981746","https://openalex.org/W2100024921","https://openalex.org/W2134603844","https://openalex.org/W2293641351","https://openalex.org/W2319296287","https://openalex.org/W2408694649","https://openalex.org/W2594570598","https://openalex.org/W2611060050","https://openalex.org/W2695071295","https://openalex.org/W2909368910","https://openalex.org/W2910036515","https://openalex.org/W2975413636","https://openalex.org/W2984182050","https://openalex.org/W3010992834","https://openalex.org/W3025005344","https://openalex.org/W3034932469","https://openalex.org/W3100835067","https://openalex.org/W3133734366","https://openalex.org/W3154965722","https://openalex.org/W3163651188","https://openalex.org/W3166996110","https://openalex.org/W3184748380","https://openalex.org/W3198280553","https://openalex.org/W3201380385","https://openalex.org/W3210773610","https://openalex.org/W4213413850","https://openalex.org/W4220747995","https://openalex.org/W4239510810","https://openalex.org/W4290720657","https://openalex.org/W4306811865","https://openalex.org/W4313887256","https://openalex.org/W4360841638","https://openalex.org/W4375846910","https://openalex.org/W4384916618","https://openalex.org/W4385481415","https://openalex.org/W4385938290","https://openalex.org/W4385975640","https://openalex.org/W4388505124","https://openalex.org/W4390481286","https://openalex.org/W4391928042","https://openalex.org/W4392567193","https://openalex.org/W4392901710","https://openalex.org/W4393851755","https://openalex.org/W6678080434"],"related_works":["https://openalex.org/W2997567050","https://openalex.org/W1483272040","https://openalex.org/W4283377908","https://openalex.org/W1996130883","https://openalex.org/W1526712007","https://openalex.org/W1533421371","https://openalex.org/W2748574964","https://openalex.org/W2003050223","https://openalex.org/W2091777911","https://openalex.org/W2766405861"],"abstract_inverted_index":{"The":[0,176,189],"theory":[1],"and":[2,13,30,44,67,86,116,167,198,203,207,238,242],"technology":[3],"of":[4,37,46,97,137,192,219,225],"electronic":[5],"nose":[6],"(E-nose)":[7],"systems":[8,15],"have":[9,16],"been":[10],"vigorously":[11],"developed,":[12],"these":[14],"achieved":[17],"success":[18],"in":[19,173,223],"many":[20],"practical":[21],"applications,":[22],"such":[23],"as":[24,103,105],"medical":[25],"diagnosis,":[26],"food":[27],"quality":[28],"inspection,":[29],"environmental":[31],"detection.":[32],"However,":[33],"the":[34,42,69,74,83,95,98,108,114,126,135,140,144,151,156,160,163,193,210,230],"drift":[35,66,202,240,249],"problem":[36],"a":[38,52,123],"sensor":[39],"array":[40],"affects":[41],"industrialization":[43],"commercialization":[45],"E-nose":[47],"systems.":[48],"In":[49],"this":[50,174],"article,":[51],"novel":[53],"ELM-based":[54],"dual-level":[55],"joint":[56,78,177],"domain":[57,79,91,131],"adaptation":[58,80],"method":[59,76,195],"(JDAELM)":[60],"is":[61,171,180,196,215],"proposed":[62,75,194],"to":[63,122,129,147,217,236],"effectively":[64,181,244],"suppress":[65],"address":[68],"distribution":[70,110,118],"discrepancy":[71],"issue.":[72],"Specifically,":[73],"implements":[77],"(DA)":[81],"at":[82,125,150],"feature":[84,127,164],"level":[85,128],"label":[87,145,152,168],"level.":[88,153],"For":[89],"source":[90],"data":[92,99],"without":[93],"drift,":[94,113,205],"information":[96],"could":[100],"be":[101,233],"preserved":[102],"much":[104],"possible.":[106],"Considering":[107],"inconsistent":[109],"caused":[111,250],"by":[112,183,251],"marginal":[115],"conditional":[117],"discrepancies":[119],"are":[120],"reduced":[121],"minimum":[124],"achieve":[130,148],"alignment.":[132],"To":[133],"reduce":[134],"impact":[136],"pseudolabels":[138],"on":[139,209],"model,":[141],"we":[142],"align":[143],"space":[146,166,170],"DA":[149],"By":[154],"maximizing":[155],"Hilbert\u2013Schmidt":[157],"independence":[158],"criterion,":[159],"relationship":[161],"between":[162],"projection":[165,169],"strengthened":[172],"model.":[175],"learning":[178],"model":[179],"solved":[182],"an":[184],"efficient":[185],"alternative":[186],"optimization":[187],"strategy.":[188],"average":[190],"accuracy":[191],"88.30%":[197],"87.21%":[199],"under":[200],"long-term":[201,237],"short-term":[204,239],"respectively,":[206],"96.41%":[208],"instrument":[211,247],"variation":[212,248],"dataset,":[213],"which":[214],"superior":[216],"that":[218,229],"other":[220],"comparison":[221],"methods":[222],"terms":[224],"accuracy.":[226],"This":[227],"proves":[228],"JDAELM":[231],"can":[232,243],"well":[234],"adapted":[235],"scenarios,":[241],"compensate":[245],"for":[246],"inherent":[252],"differences.":[253]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}
