Svm
Mostrando 13-24 de 143 artigos, teses e dissertações.
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13. A Regional Legacy Soil Dataset for Prediction of Sand and Clay Content with Vis-Nir-Swir, in Southern Brazil
ABSTRACT The success of soil prediction by VIS-NIR-SWIR spectroscopy has led to considerable investment in large soil spectral libraries. The aims of this study were 1) to develop a soil VIS-NIR-SWIR spectroscopy approach using legacy soil samples to improve spectral soil information in a regional scale; (2) to compare six spectral preprocessing techniques;
Rev. Bras. Ciênc. Solo. Publicado em: 15/08/2019
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14. AlradSpectra: a Quantification Tool for Soil Properties Using Spectroscopic Data in R
ABSTRACT Soil reflectance spectroscopy has become an innovative method for soil property quantification supplying data for studies in soil fertility, soil classification, digital soil mapping, while reducing laboratory time and applying a clean technology. This paper describes the implementation of a Graphical User Interface (GUI) using R named AlradSpectra.
Rev. Bras. Ciênc. Solo. Publicado em: 29/07/2019
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15. CHEMOMETRIC TOOLS AND FTIR-ATR SPECTROSCOPY APPLIED IN MILK ADULTERATED WITH CHEESE WHEY
Brazilian law forbids the addition of cheese whey in milk. However, adulteration with cheese whey is one of the most applied fraud due to its low cost. The detection of this fraud is the quantification of Caseinomacropeptide (CMP). The CMP is a constituent of the whey that can be used as adulteration marker. Thus, an analytical method capable of identifying
Quím. Nova. Publicado em: 02/05/2019
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16. Digital Soil Mapping of Soil Properties in the “Mar de Morros” Environment Using Spectral Data
ABSTRACT Quantification of soil properties is essential for better understanding of the environment and better soil management. The conventional techniques of laboratory analysis are sometimes costly and detrimental to the environment. Thus, development of new techniques for soil analysis that do not generate residues, such as spectroscopy, is increasingly n
Rev. Bras. Ciênc. Solo. Publicado em: 07/01/2019
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17. Automatic Identification of Cigarette Brand Using Near-Infrared Spectroscopy and Sparse Representation Classification Algorithm
A cigarette brand automatic classification method using near-infrared (NIR) spectroscopy and sparse representation classification (SRC) algorithm is put forward by the paper. Comparing with the traditional methods, it is more robust to redundancy because it uses non-negative least squares (NNLS) sparse coding instead of principal component analysis (PCA) for
J. Braz. Chem. Soc.. Publicado em: 2018-07
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18. Principal Component Analysis with Linear and Quadratic Discriminant Analysis for Identification of Cancer Samples Based on Mass Spectrometry
Mass spectrometry (MS) is a powerful technique that can provide the biochemical signature of a wide range of biological materials such as cells and biofluids. However, MS data usually has a large range of variables which may lead to difficulties in discriminatory analysis and may require high computational cost. In this paper, principal component analysis wi
J. Braz. Chem. Soc.. Publicado em: 2018-03
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19. THE USE OF ARTIFICIAL INTELLIGENCE FOR ESTIMATING SOIL RESISTANCE TO PENETRATION
ABSTRACT The aim of this study was to present and to evaluate methodologies for the estimation of soil resistance to penetration (RP) using artificial intelligence prediction techniques. In order to do so, a data base with values of physical-water characteristics of the soils available in the literature was used, and the performances of Artificial Neural Net
Eng. Agríc.. Publicado em: 2018-01
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20. Support vector machine-based classification of neuroimages in Alzheimer’s disease: direct comparison of FDG-PET, rCBF-SPECT and MRI data acquired from the same individuals
Objective: To conduct the first support vector machine (SVM)-based study comparing the diagnostic accuracy of T1-weighted magnetic resonance imaging (T1-MRI), F-fluorodeoxyglucose-positron emission tomography (FDG-PET) and regional cerebral blood flow single-photon emission computed tomography (rCBF-SPECT) in Alzheimer’s disease (AD). Method: Brain T1-MR
Rev. Bras. Psiquiatr.. Publicado em: 02/10/2017
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21. ABORDAGENS PARA CLASSIFICAÇÃO DO ESTÁDIO SUCESSIONAL DA VEGETAÇÃO DO PARQUE NACIONAL DE SÃO JOAQUIM EMPREGANDO IMAGENS LANDSAT-8 E RAPIDEYE
Resumo: A classificação remota dos diferentes estádios sucessionais da vegetação ainda constitui um desafio devido à similaridade espectral destas classes. Este artigo tem o objetivo de avaliar o desempenho de imagens Landsat-8 e RapidEye para a classificação do estádio sucessional da vegetação em um fragmento de Floresta Ombrófila Mista, localiz
Bol. Ciênc. Geod.. Publicado em: 2017-09
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22. Dexterous hand gestures recognition based on low-density sEMG signals for upper-limb forearm amputees
Abstract Introduction Intuitive prosthesis control is one of the most important challenges in order to reduce the user effort in learning how to use an artificial hand. This work presents the development of a novel method for pattern recognition of sEMG signals able to discriminate, in a very accurate way, dexterous hand and fingers movements using a reduce
Res. Biomed. Eng.. Publicado em: 17/08/2017
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23. ÁRVORE DE DECISÃO E ANÁLISE BASEADA EM OBJETOS NA CLASSIFICAÇÃO DE IMAGENS COM RESOLUÇÃO ESPACIAL SUBMÉTRICA ADQUIRIDAS POR VANT
As imagens com resolução espacial submétrica, como as adquiridas por Veículo Aéreo Não Tripulado (VANT), apresentam alta variabilidade espectral. A análise baseada em objetos possibilita a redução dessa variabilidade e a geração de atributos, aumentando a dimensionalidade do conjunto de dados. Funções de seleção de atributos relevantes e de re
Bol. Ciênc. Geod.. Publicado em: 2017-06
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24. Novel Image Classification technique using Particle Filter Framework optimised by Multikernel Sparse Representation
ABSTRACT The robustness and speed of image classification is still a challenging task in satellite image processing. This paper introduces a novel image classification technique that uses the particle filter framework (PFF)-based optimisation technique for satellite image classification. The framework uses a template-matching algorithm, comprising fast march
Braz. arch. biol. technol.. Publicado em: 23/01/2017