Výsledky vyhledávání - "Rodrigo Pereira Ramos"

Akademický článek

Prediction of dyskinesia in Parkinson’s disease patients using machine learning algorithms

Autor: Denisson Augusto Bastos Leal, Carla Michele Vieira Dias, Rodrigo Pereira Ramos, Ivani Brys

Publikováno v: Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)

Abstract Dyskinesias are non preventable abnormal involuntary movements that represent the main challenge of the long term treatment of Parkinson’s disease (PD) with the gold standard dopamine precursor levodopa. Applying machine learning technique

Externí odkaz: https://doaj.org/article/6bdd52c8e46b4fbebc9daf74f5d54284

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Akademický článek

Nutrikids: jogo sério para o desenvolvimento do conhecimento nutricional em crianças e adolescentes / Nutrikids: Serious game for the development of nutritional knowledge in children and adolescents

Autor: Lucas Florêncio de Brito, Ricardo Argenton Ramos, Jaelson Freire Brelaz de Castro, João Araújo, Rodrigo Pereira Ramos, Brauliro Gonçalves Leal

Publikováno v: Revista Latinoamericana de Tecnología Educativa, Vol 19, Iss 1, Pp 93-106 (2020)

A obesidade é apontada como uma epidemia global que desencadeia consequências como o aumento de morbidades, maior risco de desenvolver doenças metabólicas, cardiovasculares, hepáticas, câncer, diabetes, entre outras. O conhecimento sobre nutri�

Externí odkaz: https://doaj.org/article/d32372f849034b1398d18531f0e3aea8

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Akademický článek

Estimation of Absorbed Dose in Head CT scans Based on mA and mAs Modulation and Volumetric Air Kerma Index (CVOL) in Petrolina/PE, Brazil

Autor: Jamerson Silva de Albuquerque Junior, Ebert dos Santos Silva, Rodrigo Pereira Ramos, Raquel Aline Pessoa Oliveira

Publikováno v: Brazilian Journal of Radiation Sciences, Vol 9, Iss 2 (2021)

A tomografia computadorizada (TC) representa uma grande porcentagem da dose de radiação em exposições médicas. Portanto, otimizar a proteção do paciente tem sido uma prática com uma discussão importante. Este estudo tem como objetivo estimar

Externí odkaz: https://doaj.org/article/3ca4380d800447979bf96d62efb7e5bb

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Akademický článek

Automatic segmentation of brain tumors in magnetic resonance imaging

Autor: Layse Ribeiro Mascarenhas, Audenor dos Santos Ribeiro Júnior, Rodrigo Pereira Ramos

Publikováno v: Einstein (São Paulo), Vol 18 (2020)

ABSTRACT Objective To develop a computational algorithm applied to magnetic resonance imaging for automatic segmentation of brain tumors. Methods A total of 130 magnetic resonance images were used in the T1c, T2 and FSPRG T1C sequences and in the axi

Externí odkaz: https://doaj.org/article/d49eb11581e44452833f5af4cf431203

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PREDICTIVE MODELS OF CHLOROPHYLL CONTENT IN SUGARCANE SEEDLINGS USING SPECTRAL IMAGES

Autor: Caio Bruno Wetterich, Bárbara Teruel, Daniel dos Santos Costa, Rodolpho Cesar dos Reis Tinini, Rodrigo Pereira Ramos, Nelson Oliveros

Publikováno v: Engenharia Agrícola, Vol 41, Iss 4, Pp 475-484 (2021)
Engenharia Agrícola v.41 n.4 2021
Engenharia Agrícola
Associação Brasileira de Engenharia Agrícola (SBEA)
instacron:SBEA
Engenharia Agrícola, Volume: 41, Issue: 4, Pages: 475-484, Published: 15 SEP 2021

Chlorophyll content is a widely used parameter for nutritional status diagnosis in sugarcane. This study aimed to develop a predictive model of chlorophyll content in sugarcane seedlings using spectral imagery analysis within the electromagnetic spec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9501edc5816f9c1c2be35c2c1e4afc34
https://doi.org/10.1590/1809-4430-eng.agric.v41n4p475-484/2021

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Effectiveness of an educational game-based intervention for enhancing nutritional knowledge of elementary school students

Autor: Rodrigo Pereira Ramos, Ricardo Argenton Ramos, Lucas Florêncio de Brito, Jaelson Castro, João Araújo

Publikováno v: RENOTE; v. 19, n. 1 (2021): Edição Regular-Julho de 2021; 237-247

Obesity can generate short and long term effects on health. Nutritionalknowledge is important to increase the potential of acquiring healthy eating habits and prevent obesity. In this study, it was investigated an educational game-basedintervention w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bd100c7fbb389049aa82d0ef16bb533
https://doi.org/10.22456/1679-1916.118480

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Non‐invasive setup for grape maturation classification using deep learning

Autor: Daniel dos Santos Costa, Rodrigo Pereira Ramos, Ricardo M. Prates, Bárbara Teruel, Eduardo F. Simas Filho, Jéssica S Gomes

Publikováno v: Journal of the Science of Food and Agriculture. 101:2042-2051

Background The San Francisco Valley region from Brazil is known worldwide for its fruit production and exportation, especially grapes and wines. The grapes have high quality not only due to the excellent morphological characteristics, but also to the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f24aba89b091a69103d85564e0b538b7
https://doi.org/10.1002/jsfa.10824

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Autor: Jaelson Castro, Rodrigo Pereira Ramos, Ricardo Argenton Ramos, Lucas Florêncio de Brito, Brauliro Gonçalves Leal, João Araújo

Publikováno v: Revista Latinoamericana de Tecnología Educativa, Vol 19, Iss 1, Pp 93-106 (2020)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26d4eda3ec26f7ecbf219c1d8ca1b195
https://doaj.org/article/d32372f849034b1398d18531f0e3aea8

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Insulator visual non-conformity detection in overhead power distribution lines using deep learning

Autor: André P. Marotta, Ricardo Pedrini Cruz, Jaime S. Cardoso, Rodrigo Pereira Ramos, Ricardo M. Prates, Eduardo F. Simas Filho

Publikováno v: Computers & Electrical Engineering. 78:343-355

Overhead Power Distribution Lines (OPDLs) correspond to a large percentage of the medium-voltage electrical systems. In these networks, visual inspection activities are usually performed without resorting to automated systems, requiring a significant

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ce81653277f2f14a45920f0052d03d70
https://doi.org/10.1016/j.compeleceng.2019.08.001

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Development of predictive models for quality and maturation stage attributes of wine grapes using vis-nir reflectance spectroscopy

Autor: Barbara Janet Teruel Mederos, Daniel dos Santos Costa, Nelson Felipe Oliveros Mesa, Murilo Santos Freire, Rodrigo Pereira Ramos

Publikováno v: Postharvest Biology and Technology. 150:166-178

The viticulture business has an increasing demand for high quality products directly impacting on their market acceptance. Hence, the constant monitoring activities of vineyards, specially quality and maturation stage attributes, are important to ass

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7b17cc9aba36ac4b14b0b99aedc9923d
https://doi.org/10.1016/j.postharvbio.2018.12.010

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