{"id":"https://openalex.org/W2998362590","doi":"https://doi.org/10.1109/access.2019.2963059","title":"Gas Source Declaration With Tetrahedral Sensing Geometries and Median Value Filtering Extreme Learning Machine","display_name":"Gas Source Declaration With Tetrahedral Sensing Geometries and Median Value Filtering Extreme Learning Machine","publication_year":2019,"publication_date":"2019-12-30","ids":{"openalex":"https://openalex.org/W2998362590","doi":"https://doi.org/10.1109/access.2019.2963059","mag":"2998362590"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2963059","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2963059","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08945323.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08945323.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001616943","display_name":"Hui-Rang Hou","orcid":"https://orcid.org/0000-0002-4608-273X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui-Rang Hou","raw_affiliation_strings":["Tianjin Key Laboratory of Process Measurement and Control, School of Electrical and Information Engineering, Institute of Robotics and Autonomous Systems, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-4608-273X","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Process Measurement and Control, School of Electrical and Information Engineering, Institute of Robotics and Autonomous Systems, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088586617","display_name":"Achim J. Lilienthal","orcid":"https://orcid.org/0000-0003-0217-9326"},"institutions":[{"id":"https://openalex.org/I26437253","display_name":"\u00d6rebro University","ror":"https://ror.org/05kytsw45","country_code":"SE","type":"education","lineage":["https://openalex.org/I26437253"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Achim J. Lilienthal","raw_affiliation_strings":["Mobile Robotics and Olfaction Laboratory, AASS, School of Science and Technology, \u00d6rebro University, \u00d6rebro, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mobile Robotics and Olfaction Laboratory, AASS, School of Science and Technology, \u00d6rebro University, \u00d6rebro, Sweden","institution_ids":["https://openalex.org/I26437253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100716922","display_name":"Qing\u2010Hao Meng","orcid":"https://orcid.org/0000-0002-9915-7088"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing-Hao Meng","raw_affiliation_strings":["Tianjin Key Laboratory of Process Measurement and Control, School of Electrical and Information Engineering, Institute of Robotics and Autonomous Systems, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Process Measurement and Control, School of Electrical and Information Engineering, Institute of Robotics and Autonomous Systems, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.1412,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59726087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"7227","last_page":"7235"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9994999766349792,"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/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/declaration","display_name":"Declaration","score":0.6456072926521301},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.570285975933075},{"id":"https://openalex.org/keywords/tetrahedron","display_name":"Tetrahedron","score":0.5028876662254333},{"id":"https://openalex.org/keywords/extreme-value-theory","display_name":"Extreme value theory","score":0.46041303873062134},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.43558380007743835},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.4267902374267578},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.325339674949646},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.29343080520629883},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27667108178138733},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19289276003837585},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1174723207950592}],"concepts":[{"id":"https://openalex.org/C138147947","wikidata":"https://www.wikidata.org/wiki/Q1183659","display_name":"Declaration","level":2,"score":0.6456072926521301},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.570285975933075},{"id":"https://openalex.org/C105239961","wikidata":"https://www.wikidata.org/wiki/Q160003","display_name":"Tetrahedron","level":2,"score":0.5028876662254333},{"id":"https://openalex.org/C147581598","wikidata":"https://www.wikidata.org/wiki/Q729429","display_name":"Extreme value theory","level":2,"score":0.46041303873062134},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.43558380007743835},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.4267902374267578},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.325339674949646},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.29343080520629883},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27667108178138733},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19289276003837585},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1174723207950592},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2019.2963059","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2963059","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08945323.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:DiVA.org:oru-79745","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-79745","pdf_url":null,"source":{"id":"https://openalex.org/S4306400130","display_name":"\u00d6rebro University (\u00d6rebro University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I26437253","host_organization_name":"\u00d6rebro University","host_organization_lineage":["https://openalex.org/I26437253"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:ea381f928f6e4d4cb90c16cfd8640ab7","is_oa":true,"landing_page_url":"https://doaj.org/article/ea381f928f6e4d4cb90c16cfd8640ab7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 7227-7235 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2963059","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2963059","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08945323.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1949601377","display_name":null,"funder_award_id":"61573253","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4644695588","display_name":null,"funder_award_id":"2017YFC0306200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2998362590.pdf","grobid_xml":"https://content.openalex.org/works/W2998362590.grobid-xml"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W27749406","https://openalex.org/W1514887169","https://openalex.org/W1517364945","https://openalex.org/W1865938125","https://openalex.org/W1966552721","https://openalex.org/W1973433968","https://openalex.org/W1974375472","https://openalex.org/W1985778608","https://openalex.org/W1995331599","https://openalex.org/W1995340337","https://openalex.org/W2021124362","https://openalex.org/W2026131661","https://openalex.org/W2028284123","https://openalex.org/W2042184006","https://openalex.org/W2051094881","https://openalex.org/W2057147920","https://openalex.org/W2062044314","https://openalex.org/W2067428324","https://openalex.org/W2067599125","https://openalex.org/W2069168969","https://openalex.org/W2072931689","https://openalex.org/W2076710556","https://openalex.org/W2093352222","https://openalex.org/W2093912891","https://openalex.org/W2102369778","https://openalex.org/W2102488189","https://openalex.org/W2104684731","https://openalex.org/W2108481352","https://openalex.org/W2117848827","https://openalex.org/W2122040390","https://openalex.org/W2124491534","https://openalex.org/W2128657437","https://openalex.org/W2133102514","https://openalex.org/W2153494531","https://openalex.org/W2158054309","https://openalex.org/W2161025192","https://openalex.org/W2167982865","https://openalex.org/W2168618665","https://openalex.org/W2169976759","https://openalex.org/W2180719975","https://openalex.org/W2260025440","https://openalex.org/W2261497102","https://openalex.org/W2287302170","https://openalex.org/W2330404741","https://openalex.org/W2347178869","https://openalex.org/W2361903084","https://openalex.org/W2527226479","https://openalex.org/W2531926934","https://openalex.org/W2550985947","https://openalex.org/W2557260710","https://openalex.org/W2605894095","https://openalex.org/W2735888663","https://openalex.org/W2736968791","https://openalex.org/W2741186499","https://openalex.org/W2753648062","https://openalex.org/W2766959714","https://openalex.org/W2794069261","https://openalex.org/W2806740848","https://openalex.org/W2913554648","https://openalex.org/W4243358129","https://openalex.org/W6630825244","https://openalex.org/W6683470894","https://openalex.org/W6745367353"],"related_works":["https://openalex.org/W2067443264","https://openalex.org/W2374822965","https://openalex.org/W31566076","https://openalex.org/W3118783749","https://openalex.org/W2002583644","https://openalex.org/W2093418863","https://openalex.org/W3119989344","https://openalex.org/W4297902562","https://openalex.org/W2993476977","https://openalex.org/W2741186499"],"abstract_inverted_index":{"Gas":[0],"source":[1,5,24,54,73,134],"localization":[2],"(including":[3],"gas":[4,23,38,53,72,96,133],"declaration)":[6],"is":[7],"critical":[8],"for":[9,132],"environmental":[10],"monitoring,":[11],"pollution":[12],"control":[13],"and":[14,40,65,98,104,130,139,156],"chemical":[15],"safety.":[16],"In":[17],"this":[18,46],"paper":[19],"we":[20,90],"approach":[21],"the":[22,48,69,80,83,120,123,137,151],"declaration":[25,74,81,135],"problem":[26],"by":[27],"constructing":[28],"a":[29,37,41,52,76,106],"tetrahedron,":[30,70],"each":[31],"vertex":[32],"of":[33,36,82,122,128,150,159],"which":[34],"consists":[35],"sensor":[39],"three-dimensional":[42],"(3D)":[43],"anemometer.":[44],"With":[45],"setup,":[47],"space":[49],"sampled":[50],"around":[51],"can":[55],"be":[56],"divided":[57],"into":[58],"two":[59],"categories,":[60],"i.e.":[61],"inside":[62],"(\u201csource":[63,67],"in\u201d)":[64],"outside":[66],"out\u201d)":[68],"posing":[71],"as":[75,102],"classification":[77],"problem.":[78],"For":[79],"\u201csource":[84,87],"in\u201d":[85],"or":[86],"out\u201d":[88],"cases,":[89],"propose":[91],"to":[92],"directly":[93],"take":[94],"raw":[95],"concentration":[97],"wind":[99],"measurement":[100],"data":[101],"features,":[103],"apply":[105],"median":[107],"value":[108],"filtering":[109],"based":[110],"extreme":[111],"learning":[112],"machine":[113],"(M-ELM)":[114],"method.":[115],"Our":[116],"experimental":[117],"results":[118,145],"show":[119],"efficacy":[121],"proposed":[124],"method,":[125],"yielding":[126],"accuracies":[127],"93.2%":[129],"100%":[131],"in":[136],"regular":[138],"irregular":[140],"tetrahedron":[141],"experiments,":[142],"respectively.":[143],"These":[144],"are":[146],"better":[147],"than":[148],"that":[149],"ELM-MFC":[152],"(mass":[153],"flux":[154],"criterion)":[155],"other":[157],"variants":[158],"ELM":[160],"algorithms.":[161]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}