Svm
Mostrando 1-12 de 143 artigos, teses e dissertações.
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1. Identifying olive oil fraud and adulteration using machine learning algorithms
As olive oil (OO) is more expensive than other vegetable oils, it is usually adulterated by blending it with more economic edible oils such as cottonseed oil (CSO), canola oil (CO), and soybean oil (SO). This research aimed to determine the fatty acid compositions obtained as a result of blending different proportions of CSO, CO and SO with OO using a gas ch
Química Nova. Publicado em: 2022
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2. CLASSIFICATION OF Phaseolus lunatus L. USING IMAGE ANALYSIS AND MACHINE LEARNING MODELS
RESUMO - A análise de imagem associada com modelos de aprendizado de máquina pode ser uma excelente ferramenta de classificação para genótipos de fava, além de ser um sistema de baixo custo. A produção de feijão-fava é realizada por agricultores familiares, principalmente, nas regiões Nordeste e Sul do país, apresentando importância econômica e
Revista Caatinga. Publicado em: 2022
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3. ANÁLISE DOS FATORES QUE INFLUENCIAM A FADIGA ESPORTIVA BASEADA EM ALGORITIMKI
RESUMO Objetivo: este artigo discute o método de monitoramento da fadiga do exercício e analisa os fatores que influenciam a fadiga do exercício. Métodos: Com base no método de extração de características do sinal da imagem da fadiga, uma série de alterações causadas pela fadiga do exercício são analisadas pela técnica de biofeedback. O algor
Rev Bras Med Esporte. Publicado em: 2021-08
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4. Applicability of computer vision in seed identification: deep learning, random forest, and support vector machine classification algorithms
ABSTRACT The use of computer image analysis can assist the extraction of morphological information from seeds, potentially serving as a resource for solving taxonomic problems that require extensive training by specialists whose primary method of examination is visual identification. We propose to test the ability of deep learning, SVM and random forest algo
Acta Bot. Bras.. Publicado em: 2021-03
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5. AVALIAÇÃO DA SAÚDE FÍSICA DOS ESTUDANTES COM BASE NA INTEGRAÇÃO DA EDUCAÇÃO FÍSICA FAMILIAR E ESCOLAR
RESUMO Nos últimos anos, a China tem prestado cada vez mais atenção à saúde física dos estudantes, mas é difícil para as escolas fornecer garantias científicas para o processo de avaliação da saúde física dos estudantes. Como usar o algoritmo científico para orientação precisa tornou-se um ponto crucial. Com base nisso, este documento estuda
Rev Bras Med Esporte. Publicado em: 2021-03
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6. Multi-Step-Ahead Spectrum Prediction for Cognitive Radio in Fading Scenarios
Abstract This paper analyzes multi-step-ahead spectrum prediction for Cognitive Radio (CR) systems using several future states. A slot-based scenario is used, and prediction is based on the Support Vector Machine (SVM) algorithm. The aim is to determine whether multi-step-ahead spectrum prediction has gains in terms of reduced channel-switching and increased
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2020-12
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7. Comparação de Métodos de Estimativa da Radiação Solar Ultravioleta Horária: Modelos Empíricos, Redes Neurais Artificiais e Máquina de Vetores de Suporte
Resumo No presente trabalho, a comparação de três dos principais métodos de estimativa da radiação solar foi realizada: modelos empíricos, Redes Neurais Artificiais (RNA) e Máquina de Vetores de Suporte (SVM). Quatro modelos empíricos considerados clássicos foram calibrados e validados para a estimativa da radiação solar UV horária em Botucatu,
Rev. bras. meteorol.. Publicado em: 2020-03
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8. MULTILEVEL NONLINEAR MIXED-EFFECTS MODEL AND MACHINE LEARNING FOR PREDICTING THE VOLUME OF Eucalyptus SPP. TREES
ABSTRACT Volumetric equations is one of the main tools for quantifying forest stand production, and is the basis for sustainable management of forest plantations. This study aimed to assess the quality of the volumetric estimation of Eucalyptus spp. trees using a mixed-effects model, artificial neural network (ANN) and support-vector machine (SVM). The datab
CERNE. Publicado em: 2020-03
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9. A Novel Run-length based wavelet features for Screening Thyroid Nodule Malignancy
Abstract: Thyroid nodules are cell growths in the thyroid which might be for in one of two categories benign or malignant. Nodular thyroid disease is common and because of the associated risk of malignancy and hyper-function; these nodules have to be examined thoroughly. Hence diagnosing thyroid nodule malignancy in the early stage can mitigate the possibili
Braz. arch. biol. technol.. Publicado em: 25/11/2019
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10. Prediction of restrained shrinkage crack width of slag mortar composites using data mining techniques
ABSTRACT The purpose of this study is to develop data mining models to predict restrained shrinkage crack widths of slag mortar cementitious composites. A database published by BILIR et al. [1] was used to develop these models. As a modelling tool R environment was used to apply these data mining (DM) techniques. Several algorithms were tested and analyzed u
Matéria (Rio J.). Publicado em: 25/11/2019
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11. A NOVEL RAISIN SEGMENTATION ALGORITHM BASED ON DEEP LEARNING AND MORPHOLOGICAL ANALYSIS
ABSTRACT We propose a segmentation algorithm for raisin extraction. The proposed approach consists of the following aspects. Deep learning is used to predict the number of raisins in each connected region, and the shape features such as the roundness, area, X-axis value for the centroid, Y-axis value for the centroid, axis length and perimeter of each region
Eng. Agríc.. Publicado em: 04/11/2019
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12. Rapid and Automatic Classification of Tobacco Leaves Using a Hand-Held DLP-Based NIR Spectroscopy Device
A hand-held near infrared (NIR) spectroscopy device is much more convenient than a traditional desktop NIR instrument. Thus, it is more suitable for the practical application. An automatic and rapid tool for grading tobacco leaves on the spot using a hand-held digital light processing (DLP)-based NIR spectroscopy device is proposed in this paper. Firstly, th
J. Braz. Chem. Soc.. Publicado em: 16/09/2019