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Characterization of bone Tissue by microwaves using wavelets and KNN

Jannayna Domingues Barros et al · Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo

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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.

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APA 7

al, J. D. B. E. (s. f.). Characterization of bone Tissue by microwaves using wavelets and KNN. https://doi.org/10.1590/S2179-10742011000100020

MLA

al, Jannayna Domingues Barros et. "Characterization of bone Tissue by microwaves using wavelets and KNN.". https://doi.org/10.1590/S2179-10742011000100020.

Chicago

al, Jannayna Domingues Barros et. s. f. "Characterization of bone Tissue by microwaves using wavelets and KNN.". https://doi.org/10.1590/S2179-10742011000100020.

Harvard

al, J. D. B. E. s. f, Characterization of bone Tissue by microwaves using wavelets and KNN, Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo, available at: https://doi.org/10.1590/S2179-10742011000100020 [Accessed 7 Aug. 2026].

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Title
Characterization of bone Tissue by microwaves using wavelets and KNN
Author / contributors
Jannayna Domingues Barros et al
Publisher
Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo
ISSN
2179-1074
ISSN
2179-1074
Language
English

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