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Single-shot velocity mapping by rewinding of velocity encoding with Echo-Planar Imaging
(Academic Press Inc Elsevier Science, 2019-10)
The ability of single-shot NMR imaging methods to follow the time evolution of a velocity distribution within an object is strongly limited by the phase errors accumulated as velocity maps are acquired. In the particular ...
Hormone Concentrations and Semen Parameters in Criollo Breed Stallions Under Training
(Elsevier Science Inc., 2021-04)
The stress associated with training may reduce reproductive efficiency in Criollo stallions. The objective of this study was to compare semen quality and hormone concentrations in Criollo stallions under training or under ...
Natural modes of the two-fluid model of two-phase flow
(American Institute of Physics, 2021-03)
A physically based method to derive well-posed instances of the two-fluid momentum transport equations from first principles is presented. The basic tools used in this endeavor are the variational principles of field theory, ...
Doppler processing in weather radar using deep learning
(Institution of Engineering and Technology, 2020-12)
A deep learning approach to estimate the mean Doppler velocity and spectral width in weather radars is presented. It can operate in scenarios with and without the presence of ground clutter. The method uses a deep neural ...
Prediction of lateral variations in reservoir properties throughout an interpreted seismic horizon using an artificial neural network
(Society of Exploration Geophysicists, 2016-03)
Successful use of an artificial neural network is shown to predict lateral variations of seismic velocity, density, thickness, and gamma rays associated with sand dune reservoirs identified on a previously interpreted ...
Geo-environmental parametric 3D models of SARS-CoV-2 virus circulation in hospital ventilation systems
(China University of Geosciences (Beijing) and Peking UniversityChina, 2022)
Control of a robotic knee exoskeleton for assistance and rehabilitation based on motion intention from sEMG
(Sociedade Brasileira de Engenharia Biomédica, 2018-09)
Introduction: This work presents the development of a novel robotic knee exoskeleton controlled by motion intention based on sEMG, which uses admittance control to assist people with reduced mobility and improve their ...
Neural Network for Lightning Forecasting in Southeastern BrazilREDE NEURAL PARA A PREVISÃO DE RAIOS NA REGIÃO SUDESTE DO BRASIL
(Universidade Federal de Santa Maria, 2014)
Using feed-forward perceptron Artificial Neural Network (ANN) model to determine the rolling force, power and slip of the tandem cold rolling
(ISA - Instrumentation, Systems, and Automation SocietyUnited States, 2023)