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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/449CR55
Repositorysid.inpe.br/mtc-m21c/2021/03.02.17.56
Last Update2021:06.02.12.04.04 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m21c/2021/03.02.17.56.31
Metadata Last Update2022:04.03.23.14.26 (UTC) administrator
DOI10.1590/0001-3765202120200862
ISSN0001-3765
Citation KeyArantesFoRosaGuim:2021:InSuCl
TitleIntelligent supernovae classification systems in the kdust context
Year2021
Access Date2025, June 02
Type of Workjournal article
Secondary TypePRE PN
Number of Files1
Size3326 KiB
2. Context
Author1 Arantes Filho, Luís R.
2 Rosa, Reinaldo Roberto
3 Guimarães, Lamartine N. F.
Resume Identifier1
2 8JMKD3MGP5W/3C9JJ5D
ORCID1 0000-0002-8470-8377
2 0000-0002-2962-4322
3 0000-0002-0302-9162
Group1 CAP-COMP-DIPGR-INPE-MCTI-GOV-BR
2 COPDT-CGIP-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Departamento de Ciência e Tecnologia Aeroespacial (DCTA)
Author e-Mail Address1
2 reinaldo.rosa@inpe.br
JournalAnais da Academia Brasileira de Ciências
Volume93
Pagese20200862
Secondary MarkA1_INTERDISCIPLINAR A1_ENGENHARIAS_III A2_PLANEJAMENTO_URBANO_E_REGIONAL_/_DEMOGRAFIA A2_GEOGRAFIA A2_ENSINO A2_ENGENHARIAS_IV A2_CIÊNCIAS_AMBIENTAIS A2_BIODIVERSIDADE A2_ANTROPOLOGIA_/_ARQUEOLOGIA B1_ZOOTECNIA_/_RECURSOS_PESQUEIROS B1_PSICOLOGIA B1_NUTRIÇÃO B1_MEDICINA_VETERINÁRIA B1_GEOCIÊNCIAS B1_ENGENHARIAS_II B1_ENGENHARIAS_I B1_ENFERMAGEM B1_EDUCAÇÃO_FÍSICA B1_CIÊNCIAS_SOCIAIS_APLICADAS_I B1_CIÊNCIAS_AGRÁRIAS_I B2_SAÚDE_COLETIVA B2_QUÍMICA B2_MEDICINA_III B2_MEDICINA_II B2_MEDICINA_I B2_MATERIAIS B2_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA B2_FARMÁCIA B2_ECONOMIA B2_CIÊNCIA_DE_ALIMENTOS B2_CIÊNCIA_DA_COMPUTAÇÃO B3_CIÊNCIAS_BIOLÓGICAS_II B3_CIÊNCIAS_BIOLÓGICAS_I B3_BIOTECNOLOGIA B3_ASTRONOMIA_/_FÍSICA B4_CIÊNCIAS_BIOLÓGICAS_III
History (UTC)2021-03-02 17:56:31 :: simone -> administrator ::
2021-03-02 17:56:35 :: administrator -> simone :: 2021
2021-06-02 12:04:04 :: simone -> administrator :: 2021
2022-04-03 23:14:26 :: administrator -> simone :: 2021
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
AbstractWith the advent of large astronomical surveys plus multi-messenger astronomy, both automatic detection and classification of Type Ia supernovae have been addressed by different machine learning techniques. In this article we present three solutions aimed at the future spectrometer of the KDUST project, within a scope of benchmark, considering three different methodologies. The systems presented here are the following: CINTIA (based on hierarchical neural network architecture), SUZAN (which incorporates the solution known as fuzzy systems) and DANI (based on Deep Learning with Convolutional Neural Networks). The characteristics of the systems are presented and the benchmark is performed considering a data set containing 15.134 spectra. The best performance is obtained by the DANI architecture which provides 96% accuracy in the classification of Type Ia supernovae in relation to other spectral types.
AreaCOMP
Arrangement 1urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CAP > Intelligent supernovae classification...
Arrangement 2urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGIP > Intelligent supernovae classification...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP3W34R/449CR55
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W34R/449CR55
Languageen
Target Filedownload.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3F2PHGS
8JMKD3MGPCW/46KUES5
Citing Item Listsid.inpe.br/bibdigital/2013/10.12.22.16 13
sid.inpe.br/bibdigital/2022/04.03.23.11 9
sid.inpe.br/mtc-m21/2012/07.13.14.58.50 5
DisseminationWEBSCI; PORTALCAPES; SCIELO.
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
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