Supervised Classification
Mostrando 1-12 de 77 artigos, teses e dissertações.
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1. Encoding of Luminescent Ink Markers Using Low-Level Data Fusion and Chemometrics
The identification and analysis of documentary fraud is always a challenge for forensic science. Document analysis has proven to be an important branch of forensics in elucidating the authenticity of documents. The development and incorporation of luminescent inks in authentic documents have proved to be an excellent security feature. This paper purposes the
Journal of the Brazilian Chemical Society. Publicado em: 2023
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2. Sparse Estimation of the Precision Matrix and Plug-In Principle in Linear Discriminant Analysis for Hyperspectral Image Classification
ABSTRACT In this paper, a new method for supervised classification of hyperspectral images is proposed for the case in which the size of the training sample is small. It consists of replacing in the Mahalanobis distance the maximum likelihood estimator of the precision matrix by a sparse estimator. The method is compared with two other existing versions of L
Trends in Computational and Applied Mathematics. Publicado em: 2022
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3. CLOROFILA EXTRAÍDA DE RESÍDUO INDUSTRIAL DA ERVA-MATE (Ilex paraguaiensis) UMA POSSIBILIDADE DE ECONOMIA CIRCULAR
Chlorophyll is the most abundant green pigment on the planet, it is unstable and decomposes naturally. Mate-herb is a traditional native plant in the southern region of South America, and its tea is part of the local culture and extractive agriculture. The mate-herb industry generates as a by-product a resinous material rich in chlorophyll whose use is propo
Química Nova. Publicado em: 2022
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4. EXPERIMENTO DIDÁTICO DE QUIMIOMETRIA PARA CLASSIFICAÇÃO DE ÓLEOS VEGETAIS COMESTÍVEIS POR ESPECTROSCOPIA NO INFRAVERMELHO MÉDIO COMBINADO COM ANÁLISE DISCRIMINANTE POR MÍNIMOS QUADRADOS PARCIAIS: UM TUTORIAL, PARTE V
A teaching experiment on supervised pattern recognition in chemometrics was proposed in this tutorial to introduce partial least squares discriminant analysis (PLS-DA). A new approach of the experiment published in the first tutorial of this series was revisited and employed to the classification of edible vegetable oils. The spectra of olive, canola, soybea
Quím. Nova. Publicado em: 2020-03
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5. Physical and functional aspects of persons with multiple sclerosis practicing Tai-Geiko: randomized trial
OBJECTIVES: This study aimed to verify the influence of Tai-Geiko on the physical and functional aspects of people with multiple sclerosis (MS). METHODS: This was a parallel-group, randomized trial with two arms. People with MS were allocated to an experimental group (EG) (n=10) and control group (CG) (n=09). The participants received multidisciplinary car
Clinics. Publicado em: 10/01/2020
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6. Land use and water quality in watersheds in the State of São Paulo, based on GIS and SWAT data
Resumo O uso e ocupação do solo influenciam a qualidade e a disponibilidade de água, devendo ser considerados numa gestão integrada dos recursos hídricos e no planejamento das bacias hidrográficas. Ferramentas de geoprocessamento têm sido utilizadas para classificação do uso do solo e combinadas com modelos hidrológicos para avaliação do impacto
Rev. Ambient. Água. Publicado em: 03/10/2019
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7. PHOTOGRAMMETRIC POINT CLOUD CLASSIFICATION BASED ON GEOMETRIC AND RADIOMETRIC DATA INTEGRATION
Abstract The extraction of information from point cloud is usually done after the application of classification methods based on the geometric characteristics of the objects. However, the classification of photogrammetric point clouds can be carried out using radiometric information combined with geometric information to minimize possible classification issu
Bol. Ciênc. Geod.. Publicado em: 10/07/2019
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8. 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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9. 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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10. 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
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11. Is It Possible to Classify Topsoil Texture Using a Sensor Located 800 km Away from the Surface?
ABSTRACT It is often difficult for pedologists to “see” topsoils indicating differences in properties such as soil particle size. Satellite images are important for obtaining quick information for large areas. However, mapping extensive areas of bare soil using a single image is difficult since most areas are usually covered by vegetation. Thus, the aim
Rev. Bras. Ciênc. Solo. Publicado em: 03/11/2016
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12. Digital soil mapping using reference area and artificial neural networks
ABSTRACT Digital soil mapping is an alternative for the recognition of soil classes in areas where pedological surveys are not available. The main aim of this study was to obtain a digital soil map using artificial neural networks (ANN) and environmental variables that express soil-landscape relationships. This study was carried out in an area of 11,072 ha l
Sci. agric. (Piracicaba, Braz.). Publicado em: 2016-06