Classifiers
Mostrando 1-12 de 115 artigos, teses e dissertações.
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1. Direct Analysis of Human Hair Before and After Cosmetic Modification Using a Recent Data Fusion Method
The cosmetic modification of hair is a very common procedure used to mask or cover evidence at a crime scene. Deoxyribonucleic acid (DNA) tests are expensive and require good-quality collection of samples and a database profile. To overcome these challenges, direct analysis was performed on a large set of hair strands collected from individuals, denoted orig
J. Braz. Chem. Soc.. Publicado em: 2020-01
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2. Breast Cancer Prediction Using Dominance-based Feature Filtering Approach: A Comparative Investigation in Machine Learning Archetype
Abstract Breast cancer is the most commonly witnessed cancer amongst women around the world. Computer aided diagnosis (CAD) have been playing a significant role in early detection of breast tumors hence to curb the overall mortality rate. This work presents an enhanced empirical study of impact of dominance-based filtering approach on performances of variou
Braz. arch. biol. technol.. Publicado em: 25/11/2019
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3. Annual cropland mapping using data mining and OLI Landsat-8
RESUMO No Estado do Paraná, Brasil, não há grandes mudanças nas áreas cultivadas com culturas anuais, principalmente devido a leis ambientais que não permitem expansões para novas áreas. Há grande contribuição das culturas anuais para a demanda doméstica de alimentos e econômica nas exportações. Assim, a área e distribuição das culturas anu
Rev. bras. eng. agríc. ambient.. Publicado em: 25/11/2019
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4. Methodology for classification of land use and vegetation cover using MODIS-EVI data
RESUMO Objetivou-se neste estudo verificar a aplicabilidade do uso de séries temporais do sensor MODIS-EVI para o mapeamento do uso do solo e cobertura vegetal no Bioma Pampa no Estado do Rio Grande do Sul. O período de estudo compreendeu os meses de junho de 2013 até junho de 2014. Os procedimentos incluíram a utilização de imagens do Sensor MODIS, da
Rev. bras. eng. agríc. ambient.. Publicado em: 14/10/2019
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5. Predico do Câncer de Mama com Aplicação de Modelos de Inteligência Computacional
RESUMO O uso de modelos para diagnóstico auxiliado por computador (CAD) tem sido proposto para auxiliar na detecção e classificação do câncer de mama. Neste trabalho, avaliou-se o desempenho dos modelos de rede neural de perceptrons de múltiplas camadas e máquina de vetores de suporte não linear para classificar nódulos de câncer de mama. Dez cara
TEMA (São Carlos). Publicado em: 16/09/2019
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6. Weed-removal system based on artificial vision and movement planning by A* and RRT techniques
ABSTRACT. The recent exploration of autonomous robotics tasks in agro-industry has permitted the integration of theories of artificial vision and mobile robotics with tasks in precision agriculture. Artificial vision allows for the classification of weeds and crops from images of plantations. With 3D-image processing systems, the location of the weeds is det
Acta Sci., Agron.. Publicado em: 13/06/2019
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7. Preprocessing procedures and supervised classification applied to a database of systematic soil survey
ABSTRACT: Data Mining techniques play an important role in the prediction of soil spatial distribution in systematic soil surveying, though existing methodologies still lack standardization and a full understanding of their capabilities. The aim of this work was to evaluate the performance of preprocessing procedures and supervised classification approaches
Sci. agric. (Piracicaba, Braz.). Publicado em: 20/05/2019
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8. Multinomial Logistic Regression and Random Forest Classifiers in Digital Mapping of Soil Classes in Western Haiti
ABSTRACT Digital soil mapping (DSM) has been increasingly used to provide quick and accurate spatial information to support decision-makers in agricultural and environmental planning programs. In this study, we used a DSM approach to map soils in western Haiti and compare the performance of the Multinomial Logistic Regression (MLR) with Random Forest (RF) to
Rev. Bras. Ciênc. Solo. Publicado em: 02/07/2018
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9. Breast cancer diagnosis based on mammary thermography and extreme learning machines
Abstract Introduction Breast cancer is the most common cancer in women and one of the major causes of death from cancer among female around the world. The early detection and treatment are the major way to healing. The use of mammary thermography in Mastology is increasing as a complementary imaging technique to early detect lesions. Its use as a screening
Res. Biomed. Eng.. Publicado em: 05/03/2018
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10. PROBLEMAS Y DESAFÍOS DE LA TRADUCCIÓN DE LAS LENGUAS INDÍGENAS: LOS CASOS TOBA Y MAKÁ DE LA REGIÓN DEL GRAN CHACO (ARGENTINA Y PARAGUAY)
Abstract This paper focuses on the problems of translation, understood as a cross-linguistic and intercultural activity that involves making decisions not only on the linguistic (structural) level, but also at the level of communicative and performative language. In order to cover these two levels, we have selected, on the one hand, two grammar categories in
Cad. Trad.. Publicado em: 2017-12
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11. Development of a skateboarding trick classifier using accelerometry and machine learning
Abstract Introduction Skateboarding is one of the most popular cultures in Brazil, with more than 8.5 million skateboarders. Nowadays, the discipline of street skating has gained recognition among other more classical sports and awaits its debut at the Tokyo 2020 Summer Olympic Games. This study aimed to explore the state-of-the-art for inertial measurement
Res. Biomed. Eng.. Publicado em: 2017-10
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12. COMPARATIVE ASSESSMENT BETWEEN PER-PIXEL AND OBJECT-ORIENTED FOR MAPPING LAND COVER AND USE
ABSTRACT: The traditional per-pixel classification methods consider only spectral information, and may be limited. Object-based classifiers, however, also consider shape and texture, firstly segmenting the image, and then classifying individual objects. Thus, a Geographic Object-Based Image Analysis (GEOBIA) was compared in conjunction with data mining techn
Eng. Agríc.. Publicado em: 2017-09