Computational Learning
Mostrando 1-12 de 150 artigos, teses e dissertações.
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1. ELABORAÇÃO E USO DE ANIMAÇÕES COMO ESTRATÉGIA PARA O ENSINO DE MECANISMOS DAS REAÇÕES ORGÂNICAS
The Chemistry of organic compounds is present in many aspects of life on the planet. In addition to many substances in our body being organic compounds, the energy matrix is based on burning fossil fuels, the biodiesel industry is also linked to organic reactions as well as the pharmaceutical industry. However, Organic Reaction Mechanisms is considered one o
Quím. Nova. Publicado em: 2020-09
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2. Artificial intelligence, machine learning, computer-aided diagnosis, and radiomics: advances in imaging towards to precision medicine
Resumo A disciplina de radiologia e diagnóstico por imagem evoluiu sobremaneira nos últimos anos. Temos observado o aumento exponencial do número de exames realizados, a subespecialização das disciplinas médicas e a maior acurácia dos métodos, tornando um desafio para o médico radiologista “saber tudo sobre todos exames e regiões”. Além disso,
Radiol Bras. Publicado em: 23/09/2019
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3. Simulador didático para análise dos transientes de ondas de tensão em uma linha de transmissão similar à transmissão e reflexão de ondas eletromagnéticas
Abstract O modelo de educação nas últimas décadas passou por mudanças consideráveis do ponto de vista didático. Com o avanço da tecnologia, a velocidade de obtenção de informações aumenta e o uso de ferramentas que permitem a visualização dinâmica de conteúdos torna-se um forte aliado ao processo de ensino-aprendizagem. Este trabalho trata da
Rev. Bras. Ensino Fís.. Publicado em: 29/07/2019
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4. Efeitos do uso de diferentes tecnologias educacionais na aprendizagem conceitual sobre o sistema miofuncional orofacial
RESUMO Objetivo Comparar três métodos de aprendizagem sobre anatomia e fisiologia do sistema miofuncional orofacial, sendo dois interativos (uso de softwares educacionais) e um tradicional, quanto à aprendizagem conceitual de estudantes de graduação em Fonoaudiologia. Métodos Participaram 36 estudantes do segundo ano, alocados randomicamente em grupo
Audiol., Commun. Res.. Publicado em: 09/05/2019
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5. An SHM approach using machine learning and statistical indicators extracted from raw dynamic measurements
Abstract Structural Health Monitoring using raw dynamic measurements is the subject of several studies aimed at identifying structural modifications or, more specifically, focused on damage assessment. Traditional damage detection methods associate structural modal deviations to damage. Nevertheless, the process used to determine modal characteristics can in
Lat. Am. j. solids struct.. Publicado em: 14/03/2019
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6. USE OF COMPUTATIONAL TOOLS AS SUPPORT TO THE CROSS-MAPPING METHOD BETWEEN CLINICAL TERMINOLOGIES
RESUMO Objetivo: refletir sobre o uso de ferramentas computacionais no método de mapeamento cruzado entre terminologias clínicas. Método: estudo de reflexão. Resultados: o método de mapeamento cruzado consiste na obtenção de listagem de termos, por meio de extração e normalização; ligação entre os termos da listagem e os da base de referên
Texto contexto - enferm.. Publicado em: 14/02/2019
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7. 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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8. In silico analysis of binding interaction of conantokins with NMDA receptors for potential therapeutic use in Alzheimer’s disease
Abstract Background The N-methyl-D-aspartate (NMDA) receptors are glutamate receptors that play vital roles in central nervous system development and are involved in synaptic plasticity, which is an essential process for learning and memory. The subunit N-methyl D-aspartate receptor subtype 2B (NR2B) is the chief excitatory neurotransmitter receptor in the
J. Venom. Anim. Toxins incl. Trop. Dis. Publicado em: 23/10/2017
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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. 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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11. Artificial neural network for prediction of the area under the disease progress curve of tomato late blight
ABSTRACT: Artificial neural networks (ANN) are computational models inspired by the neural systems of living beings capable of learning from examples and using them to solve problems such as non-linear prediction, and pattern recognition, in addition to several other applications. In this study, ANN were used to predict the value of the area under the diseas
Sci. agric. (Piracicaba, Braz.). Publicado em: 2017-02
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12. Use of an Artificial Neural Network-based Metamodel to Reduce the Computational Cost in a Ray-tracing Prediction Model
Abstract The purpose of this article is based on analyzing the use of RTQ3D (“quasi-3D” ray tracing technique) to produce the value of the initial electromagnetic fields or fitness for a hundred and sixty receivers according to the possible positions of two antennas to be distributed in a closed environment. The problem variables consist of the values of
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2016-12