{"id":"https://openalex.org/W4295308397","doi":"https://doi.org/10.1109/tim.2022.3205901","title":"Curriculum Learning-Based Approaches for End-to-End Gas Recognition","display_name":"Curriculum Learning-Based Approaches for End-to-End Gas Recognition","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4295308397","doi":"https://doi.org/10.1109/tim.2022.3205901"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2022.3205901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3205901","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/A5084019875","display_name":"Chao Zhang","orcid":"https://orcid.org/0000-0003-4535-3611"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Zhang","raw_affiliation_strings":["State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China","Institute of Acoustics, State Key Laboratory of Acoustics, Chinese Academy of Sciences, Beijing, China","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4535-3611","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Acoustics, State Key Laboratory of Acoustics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100618467","display_name":"Wen Wang","orcid":"https://orcid.org/0000-0001-6817-2130"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Wang","raw_affiliation_strings":["State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China","Institute of Acoustics, State Key Laboratory of Acoustics, Chinese Academy of Sciences, Beijing, China","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6817-2130","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Acoustics, State Key Laboratory of Acoustics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009596123","display_name":"Yong Pan","orcid":"https://orcid.org/0000-0002-6267-2481"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yong Pan","raw_affiliation_strings":["State Key Laboratory of NBC Protection for Civilian, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6267-2481","affiliations":[{"raw_affiliation_string":"State Key Laboratory of NBC Protection for Civilian, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045863177","display_name":"Shoupei Zhai","orcid":"https://orcid.org/0000-0003-3292-2088"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shoupei Zhai","raw_affiliation_strings":["State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China","Institute of Acoustics, State Key Laboratory of Acoustics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3292-2088","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Acoustics, State Key Laboratory of Acoustics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6538,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.63289489,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"71","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":1.0,"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":1.0,"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/T10461","display_name":"Gas Sensing Nanomaterials and Sensors","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T11472","display_name":"Analytical Chemistry and Sensors","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1502","display_name":"Bioengineering"},"field":{"id":"https://openalex.org/fields/15","display_name":"Chemical 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":0.7078399658203125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6680470705032349},{"id":"https://openalex.org/keywords/electronic-nose","display_name":"Electronic nose","score":0.6598092317581177},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.6550003290176392},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6459393501281738},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6254383325576782},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5835241675376892},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5286781191825867},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4771277904510498},{"id":"https://openalex.org/keywords/curriculum","display_name":"Curriculum","score":0.46869373321533203},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4299507737159729},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3411528170108795}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7078399658203125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6680470705032349},{"id":"https://openalex.org/C23895516","wikidata":"https://www.wikidata.org/wiki/Q550092","display_name":"Electronic nose","level":2,"score":0.6598092317581177},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.6550003290176392},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6459393501281738},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6254383325576782},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5835241675376892},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5286781191825867},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4771277904510498},{"id":"https://openalex.org/C47177190","wikidata":"https://www.wikidata.org/wiki/Q207137","display_name":"Curriculum","level":2,"score":0.46869373321533203},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4299507737159729},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3411528170108795},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2022.3205901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3205901","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/4","display_name":"Quality Education","score":0.8399999737739563}],"awards":[{"id":"https://openalex.org/G3648899766","display_name":"\u57fa\u4e8e\u78c1\u81f4\u4f38\u7f29\u6548\u5e94\u7684\u58f0\u8868\u9762\u6ce2\u7535\u6d41\u4f20\u611f\u5668\u54cd\u5e94\u673a\u7406\u53ca\u7ed3\u6784\u4f18\u5316\u7814\u7a76","funder_award_id":"11774381","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5966825746","display_name":null,"funder_award_id":"2020YFB1506203","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7062520027","display_name":null,"funder_award_id":"U1837209","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1017173347","https://openalex.org/W2086064090","https://openalex.org/W2153233077","https://openalex.org/W2165700458","https://openalex.org/W2296073425","https://openalex.org/W2345837149","https://openalex.org/W2408694649","https://openalex.org/W2766245080","https://openalex.org/W2770886451","https://openalex.org/W2804664105","https://openalex.org/W2805662243","https://openalex.org/W2931263212","https://openalex.org/W2949544317","https://openalex.org/W2950695840","https://openalex.org/W2963178695","https://openalex.org/W3003466106","https://openalex.org/W3004092166","https://openalex.org/W3022509562","https://openalex.org/W3026303927","https://openalex.org/W3029412491","https://openalex.org/W3088516434","https://openalex.org/W3142849873","https://openalex.org/W3155393692","https://openalex.org/W3169107380","https://openalex.org/W3175179265","https://openalex.org/W3200221074","https://openalex.org/W3203003413","https://openalex.org/W3206760989","https://openalex.org/W3213511181","https://openalex.org/W4205919232","https://openalex.org/W6770362605"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2056596841","https://openalex.org/W2080410076","https://openalex.org/W2349581046","https://openalex.org/W2912293709","https://openalex.org/W1596740836","https://openalex.org/W1982974357","https://openalex.org/W2081756653","https://openalex.org/W2523761394","https://openalex.org/W2086179153"],"abstract_inverted_index":{"Deep":[0],"learning":[1,51,129],"has":[2],"demonstrated":[3],"great":[4],"potential":[5],"in":[6],"the":[7,19,29,43,55,76,79,83,86,94,97,101,106,136,163,184],"field":[8],"of":[9,22,34,57,96,135,159,170,187],"gas":[10,63,164,189],"recognition":[11,165],"using":[12,141],"an":[13],"electronic":[14,143],"nose.":[15],"However,":[16],"owing":[17],"to":[18,53,92,126,130],"limited":[20],"resources":[21],"embedded":[23,191],"devices,":[24],"they":[25],"can":[26,153,182],"only":[27],"meet":[28],"computing":[30],"and":[31,70,100,109,167,176],"storage":[32],"requirements":[33],"lightweight":[35,58],"deep":[36],"neural":[37],"network":[38],"(DNN)":[39],"models,":[40],"which":[41,181],"reduces":[42],"classification":[44,107],"accuracy.":[45],"This":[46],"study":[47],"proposes":[48],"three":[49],"curriculum":[50,128],"approaches":[52,72,117,138,152],"improve":[54],"performance":[56],"DNN":[59,172],"models":[60,173],"for":[61],"end-to-end":[62],"recognition,":[64],"including":[65],"a":[66,121],"domain":[67],"knowledge-based":[68],"approach":[69],"two":[71,80],"that":[73,150],"automatically":[74],"arrange":[75],"curriculum.":[77],"Among":[78],"automated":[81],"methods,":[82],"first":[84],"uses":[85],"correlation":[87],"strength":[88],"between":[89],"sample":[90],"responses":[91],"measure":[93],"difficulty":[95,108],"training":[98],"samples,":[99],"second":[102],"is":[103],"based":[104],"on":[105,156,178],"disagreements":[110],"among":[111],"multiple":[112],"teacher":[113],"models.":[114],"Furthermore,":[115],"our":[116],"are":[118],"combined":[119],"with":[120],"mixup-based":[122],"data":[123],"augmentation":[124],"method":[125],"apply":[127],"small":[131],"datasets.":[132,145],"The":[133,146],"superiority":[134],"proposed":[137],"was":[139],"verified":[140],"14":[142],"nose":[144],"experimental":[147],"results":[148],"demonstrate":[149],"these":[151],"be":[154],"used":[155],"different":[157],"types":[158],"datasets":[160],"while":[161],"boosting":[162],"accuracy":[166],"F1":[168],"score":[169],"various":[171],"by":[174],"9.9%":[175],"10.9%":[177],"average,":[179],"respectively,":[180],"guide":[183],"future":[185],"design":[186],"high-accuracy":[188],"sensing":[190],"systems.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
