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AuthorOuyang, Tinghuidc.contributor.author
AuthorWang, Chongwudc.contributor.author
AuthorYu, Zhangjundc.contributor.author
AuthorStach, Robertdc.contributor.author
AuthorMizaikoff, Borisdc.contributor.author
AuthorHuang, Guang-Bindc.contributor.author
AuthorWang, Qi-Jiedc.contributor.author
Date of accession2021-03-17T12:42:17Zdc.date.accessioned
Available in OPARU since2021-03-17T12:42:17Zdc.date.available
Date of first publication2021dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
KeywordExtreme learning machine (ELM)dc.subject
Keyworddeep learningdc.subject
Keywordgas sensingdc.subject
Keywordmidinfrared sensorsdc.subject
Keywordsubstrate-integrated hollow waveguides (iHWGs)dc.subject
Keywordvehicle exhaustdc.subject
KeywordEXTREME LEARNING-MACHINEdc.subject
KeywordNEAR-INFRARED SPECTROSCOPYdc.subject
KeywordPCR METHODSdc.subject
KeywordREGRESSIONdc.subject
KeywordPREDICTIONdc.subject
KeywordNIRdc.subject
KeywordPLSRdc.subject
Dewey Decimal GroupDDC 620 / Engineering & allied operationsdc.subject.ddc
TitleNOx Measurements in Vehicle Exhaust Using Advanced Deep ELM Networksdc.title
Resource typeWissenschaftlicher Artikeldc.type
FacultyFakultät für Naturwissenschaftenuulm.affiliationGeneral
InstitutionInstitut für Analytische und Bioanalytische Chemieuulm.affiliationSpecific
DCMI TypeTextuulm.typeDCMI
CategoryPublikationsnachweiseuulm.category
DOI (external)10.1109/TIM.2020.3013129dc.identifier.doiExternal
Source - Title of sourceIEEE Transactions on Instrumentation and Measurementsource.title
Source - Place of publicationInstitute of Electrical and Electronics Engineerssource.publisher
Source - Volume70source.volume
Source - Year2021source.year
Source - From page1source.fromPage
Source - To page10source.toPage
Source - Article number7000310source.articleNumber
Source - ISSN0018-9456source.identifier.issn
Source - eISSN1557-9662source.identifier.eissn
CommunityFakultät für Naturwissenschaftenuulm.community
WoS000597200000015uulm.identifier.wos
Bibliographyuulmuulm.bibliographie


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