Data Clustering
Mostrando 1-12 de 528 artigos, teses e dissertações.
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1. A Spectral Clustering Approach for the Evolution of the COVID-19 Pandemic in the State of Rio Grande do Sul, Brazil
ABSTRACT The aim of this paper is to analyse the evolution of the COVID-19 pandemic in Rio Grande do Sul by applying graph-theoretical tools, particularly spectral clustering techniques, on weighted graphs defined on the set of 167 municipalities in the state with population 10,000 or more, which are based on data provided by government agencies and other so
Trends in Computational and Applied Mathematics. Publicado em: 2022
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2. Universal Approximators: New Approach for the Curve Fit of the COVID-19 Infected Population
ABSTRACT Fuzzy systems that include Takagi-Sugeno inference method with linear outputs, are widely known to have the ability to uniformly approximate any polynomial with high precision and, as a consequence, any continuous function, by applying the approximation theorem of Weierstrass. There is one more advantage for these methods which is to obtain an expli
Trends in Computational and Applied Mathematics. Publicado em: 2022
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3. Genetic variability in Capsicum spp. accessions through multicategorical traits
ABSTRACT Capsicum peppers originate from the American continent. Their culinary and medicinal potential, first exploited by indigenous peoples over 7000 years ago is vast, however more studies are needed. Despite the existence of germplasm banks that house hundreds of accessions of the genus, only a little of this diversity is seen in large markets. In this
Revista Ceres. Publicado em: 2022
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4. Effects of participation level and physical activity on eating behavior and disordered eating symptoms in the Brazilian version of the New Moves intervention: data from a cluster randomized controlled trial
ABSTRACT BACKGROUND: Childhood and adolescent obesity is a worldwide public health concern. The New Moves program aims to change eating behavior (EB) and physical activity (PA). OBJECTIVE: To evaluate the effectiveness of an intervention and predictors of better outcomes relating to EB and PA levels. DESIGN AND SETTING: Secondary data from a cluster ra
Sao Paulo Med. J.. Publicado em: 2021-06
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5. Analysis of the profile of cardiovascular risk in Brazilian schoolchildren: metabolic and behavioral indicators
ABSTRACT Objective There is evidence demonstrating that cardiovascular diseases (CVD) manifesting during adulthood result from an intense interaction among risk factors that may have originated during childhood and adolescence. To compare the prevalence and clustering of cardiovascular risk factors in Brazilian schoolchildren with a 15-year interval betwee
Arch. Endocrinol. Metab.. Publicado em: 2020-12
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6. Healthcare Deprived Centers Attempting Congenital Heart Surgery: what is Desirable versus what is Attainable in this Covid Era?
ABSTRACT Objective There is evidence demonstrating that cardiovascular diseases (CVD) manifesting during adulthood result from an intense interaction among risk factors that may have originated during childhood and adolescence. To compare the prevalence and clustering of cardiovascular risk factors in Brazilian schoolchildren with a 15-year interval betwee
Braz. J. Cardiovasc. Surg.. Publicado em: 2020-12
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7. X-ray Scattering and Chemometrics as Tools to Assist in the Identification of Gunshot Residues by Wavelength Dispersive X-ray Fluorescence Spectrometry
Wavelength dispersion X-ray fluorescence spectrometry (WDXRF) is a non-destructive technique and therefore attractive for gunshot residues (GSR) analysis. It is well known for determination of inorganic constituents of samples. However, X-ray scattering region spectral data is not commonly used, although it may provide information about organic constituents
J. Braz. Chem. Soc.. Publicado em: 2020-12
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8. Genetic variability in peppers accessions based on morphological, biochemical and molecular traits
ABSTRACT The evaluation of genetic diversity among the accessions of a germplasm collection results in information about promising materials suitable for breeding programs. Thus, the goal of this work was to characterize Capsicum baccatum accessions from different Brazilian regions, based on morphological, biochemical and molecular traits, aiming to support
Bragantia. Publicado em: 2020-12
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9. THE USE OF GENETIC DISTANCE AND GROUPING METHODS TO PREDICT Eucalyptus Pellita F. MUELL GENITORS FOR HYBRIDIZATION
ABSTRACT The objective of this study was to use quantitative traits to estimate the genetic distance among E. pellita provenances and progenies, to inform possible hybridization strategies in a species improvement program. A provenance and progeny test with 118 progenies from seven provenances was evaluated. The following quantitative traits were measured at
CERNE. Publicado em: 2020-12
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10. Using the Interval Metric for Modeling Entities Geometrics in ℝ2 - Case Study Interval Circumference
ABSTRACT The study of some distances provide science a way to separate two entities. It has applications in various fields such as remote sensing, data mining, pattern recognition and multivariate data analysis and others. If the distance is a Hausdorff metric, the guarantee is that all individuals are available. With the use of the distance of Trindade et a
TEMA (São Carlos). Publicado em: 2020-04
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11. CHEMICAL VARIABILITY OF Allamanda cathartica L. FLOWERS ASSESSED BY MULTIVARIATE DATA ANALYSIS
The aim of this study was to determine the chemical variability of Allamanda cathartica flowers collected in different localities of Santa Catarina State, Brazil. Extractive solutions (25 samples) were analyzed by HPLC-DAD for the qualitative and quantitative profiles of the iridoid plumieride, the flavonoid rutin as well as total flavonoid content expressed
Quím. Nova. Publicado em: 2020-02
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12. IDENTIFICATION OF HOMOGENEOUS RAINFALL ZONES DURING GRAIN CROPS IN PARANÁ, BRAZIL
ABSTRACT The aim of this study is to identify homogeneous rainfall zones in the winter and summer 1st and 2nd crops, in the state of Paraná, Brazil. The zones were defined by clustering using the expectation-maximization (EM) algorithm to transform seasonal rainfall series. Monthly average rainfall data collected from 157 weather stations for 20 years (1996
Eng. Agríc.. Publicado em: 09/12/2019