Characterization of bone Tissue by microwaves using wavelets and KNN

Detalhes bibliográficos
Autor(a) principal: Barros, Jannayna Domingues
Data de Publicação: 2011
Outros Autores: Oliveira Júnior, José Josemar de, Silva, Sandro Gonçalves da, Farias, Robson Fernandes de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRN
Texto Completo: https://repositorio.ufrn.br/handle/123456789/30776
Resumo: In this work, the electrical signals obtained by application of microwaves in chemical and bone tissues are analyzed and classified using techniques of signal processing and pattern recognition. For this, Wavelet Transform is applied as a method to extract relevant features of signal and KNN is used as a classification technique. The results showed that microwave signals can be analyzed using Wavelet Transform, which can be used to reconstruct the signals with minimal error rate and KNN showed satisfactory results
id UFRN_86a1cb52935d142f0ec660c7846f60bf
oai_identifier_str oai:https://repositorio.ufrn.br:123456789/30776
network_acronym_str UFRN
network_name_str Repositório Institucional da UFRN
repository_id_str
spelling Barros, Jannayna DominguesOliveira Júnior, José Josemar deSilva, Sandro Gonçalves daFarias, Robson Fernandes de2020-11-30T14:38:02Z2020-11-30T14:38:02Z2011-06BARROS, Jannayna Domingues; OLIVEIRA JÚNIOR, José Josemar de; SILVA, Sandro Gonçalves da; FARIAS, Robson Fernandes de. Characterization of bone Tissue by microwaves using wavelets and KNN. Journal of Microwaves, Optoelectronics And Electromagnetic Applications, [S.L.], v. 10, n. 1, p. 217-231, jun. 2011. Disponível em: https://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742011000100020&lng=en&tlng=en. Acesso em: 23 set. 2020. http://dx.doi.org/10.1590/s2179-10742011000100020.2179-1074https://repositorio.ufrn.br/handle/123456789/3077610.1590/S2179-10742011000100020FapUNIFESP (SciELO)Attribution 3.0 Brazilhttp://creativecommons.org/licenses/by/3.0/br/info:eu-repo/semantics/openAccessStatistical pattern recognitionWavelet transformBone tissueMicrostrip antennasCharacterization of bone Tissue by microwaves using wavelets and KNNinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleIn this work, the electrical signals obtained by application of microwaves in chemical and bone tissues are analyzed and classified using techniques of signal processing and pattern recognition. For this, Wavelet Transform is applied as a method to extract relevant features of signal and KNN is used as a classification technique. The results showed that microwave signals can be analyzed using Wavelet Transform, which can be used to reconstruct the signals with minimal error rate and KNN showed satisfactory resultsengreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8914https://repositorio.ufrn.br/bitstream/123456789/30776/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/30776/3/license.txte9597aa2854d128fd968be5edc8a28d9MD53ORIGINALCharacterizationBoneTissue_2011.pdfCharacterizationBoneTissue_2011.pdfapplication/pdf1113787https://repositorio.ufrn.br/bitstream/123456789/30776/1/CharacterizationBoneTissue_2011.pdfd3885773f7190faf11beabe88dd12205MD51TEXTCharacterizationBoneTissue_2011.pdf.txtCharacterizationBoneTissue_2011.pdf.txtExtracted texttext/plain31442https://repositorio.ufrn.br/bitstream/123456789/30776/4/CharacterizationBoneTissue_2011.pdf.txt0325710df2ef5e6ef610b066edc68995MD54THUMBNAILCharacterizationBoneTissue_2011.pdf.jpgCharacterizationBoneTissue_2011.pdf.jpgGenerated Thumbnailimage/jpeg1646https://repositorio.ufrn.br/bitstream/123456789/30776/5/CharacterizationBoneTissue_2011.pdf.jpg9d45758bfd24c15c1c7a40bf928f1e30MD55123456789/307762020-12-06 05:06:28.419oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2020-12-06T08:06:28Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false
dc.title.pt_BR.fl_str_mv Characterization of bone Tissue by microwaves using wavelets and KNN
title Characterization of bone Tissue by microwaves using wavelets and KNN
spellingShingle Characterization of bone Tissue by microwaves using wavelets and KNN
Barros, Jannayna Domingues
Statistical pattern recognition
Wavelet transform
Bone tissue
Microstrip antennas
title_short Characterization of bone Tissue by microwaves using wavelets and KNN
title_full Characterization of bone Tissue by microwaves using wavelets and KNN
title_fullStr Characterization of bone Tissue by microwaves using wavelets and KNN
title_full_unstemmed Characterization of bone Tissue by microwaves using wavelets and KNN
title_sort Characterization of bone Tissue by microwaves using wavelets and KNN
author Barros, Jannayna Domingues
author_facet Barros, Jannayna Domingues
Oliveira Júnior, José Josemar de
Silva, Sandro Gonçalves da
Farias, Robson Fernandes de
author_role author
author2 Oliveira Júnior, José Josemar de
Silva, Sandro Gonçalves da
Farias, Robson Fernandes de
author2_role author
author
author
dc.contributor.author.fl_str_mv Barros, Jannayna Domingues
Oliveira Júnior, José Josemar de
Silva, Sandro Gonçalves da
Farias, Robson Fernandes de
dc.subject.por.fl_str_mv Statistical pattern recognition
Wavelet transform
Bone tissue
Microstrip antennas
topic Statistical pattern recognition
Wavelet transform
Bone tissue
Microstrip antennas
description In this work, the electrical signals obtained by application of microwaves in chemical and bone tissues are analyzed and classified using techniques of signal processing and pattern recognition. For this, Wavelet Transform is applied as a method to extract relevant features of signal and KNN is used as a classification technique. The results showed that microwave signals can be analyzed using Wavelet Transform, which can be used to reconstruct the signals with minimal error rate and KNN showed satisfactory results
publishDate 2011
dc.date.issued.fl_str_mv 2011-06
dc.date.accessioned.fl_str_mv 2020-11-30T14:38:02Z
dc.date.available.fl_str_mv 2020-11-30T14:38:02Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.citation.fl_str_mv BARROS, Jannayna Domingues; OLIVEIRA JÚNIOR, José Josemar de; SILVA, Sandro Gonçalves da; FARIAS, Robson Fernandes de. Characterization of bone Tissue by microwaves using wavelets and KNN. Journal of Microwaves, Optoelectronics And Electromagnetic Applications, [S.L.], v. 10, n. 1, p. 217-231, jun. 2011. Disponível em: https://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742011000100020&lng=en&tlng=en. Acesso em: 23 set. 2020. http://dx.doi.org/10.1590/s2179-10742011000100020.
dc.identifier.uri.fl_str_mv https://repositorio.ufrn.br/handle/123456789/30776
dc.identifier.issn.none.fl_str_mv 2179-1074
dc.identifier.doi.none.fl_str_mv 10.1590/S2179-10742011000100020
identifier_str_mv BARROS, Jannayna Domingues; OLIVEIRA JÚNIOR, José Josemar de; SILVA, Sandro Gonçalves da; FARIAS, Robson Fernandes de. Characterization of bone Tissue by microwaves using wavelets and KNN. Journal of Microwaves, Optoelectronics And Electromagnetic Applications, [S.L.], v. 10, n. 1, p. 217-231, jun. 2011. Disponível em: https://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742011000100020&lng=en&tlng=en. Acesso em: 23 set. 2020. http://dx.doi.org/10.1590/s2179-10742011000100020.
2179-1074
10.1590/S2179-10742011000100020
url https://repositorio.ufrn.br/handle/123456789/30776
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution 3.0 Brazil
http://creativecommons.org/licenses/by/3.0/br/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 3.0 Brazil
http://creativecommons.org/licenses/by/3.0/br/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv FapUNIFESP (SciELO)
publisher.none.fl_str_mv FapUNIFESP (SciELO)
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFRN
instname:Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
instname_str Universidade Federal do Rio Grande do Norte (UFRN)
instacron_str UFRN
institution UFRN
reponame_str Repositório Institucional da UFRN
collection Repositório Institucional da UFRN
bitstream.url.fl_str_mv https://repositorio.ufrn.br/bitstream/123456789/30776/2/license_rdf
https://repositorio.ufrn.br/bitstream/123456789/30776/3/license.txt
https://repositorio.ufrn.br/bitstream/123456789/30776/1/CharacterizationBoneTissue_2011.pdf
https://repositorio.ufrn.br/bitstream/123456789/30776/4/CharacterizationBoneTissue_2011.pdf.txt
https://repositorio.ufrn.br/bitstream/123456789/30776/5/CharacterizationBoneTissue_2011.pdf.jpg
bitstream.checksum.fl_str_mv 4d2950bda3d176f570a9f8b328dfbbef
e9597aa2854d128fd968be5edc8a28d9
d3885773f7190faf11beabe88dd12205
0325710df2ef5e6ef610b066edc68995
9d45758bfd24c15c1c7a40bf928f1e30
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)
repository.mail.fl_str_mv
_version_ 1802117877257469952

Registros relacionados