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Capsule neural networks for structural damage localization and quantification using transmissibility data
(Elsevier, 2020)
One of the current challenges in structural health monitoring (SHM) is to take the most advantage
of large amounts of data to deliver accurate damage measurements and predictions. Deep Learning
methods tackle these ...
Capsule Networks for 3D Pose Estimation in Computer Graphics
(2020-03)
Pose estimation is an important task for novel engineering
applications, such as virtual and augmented reality (VR/AR),
pose-based video games, object reconstruction, target tracking,
driving assistance and recent sports ...
Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks
Coronavirus is an epidemic that spreads very quickly. For this reason, it has very devastating effects in
many areas worldwide. It is vital to detect COVID-19 diseases as quickly as possible to restrain the spread
of the ...
A novel deep capsule neural network for remaining useful life estimation
(SAGE Publications Ltdinfo@sagepub.co.uk, 2020)
Capsule networks for 3D pose estimation in computer graphics
(2020-03)
Pose estimation is an important task for novel engineering
applications, such as virtual and augmented reality (VR/AR),
pose-based video games, object reconstruction, target tracking,
driving assistance and recent sports ...
A capsule neural network based model for structural damage localization and quantification using transmissibilty data
(Universidad de Chile, 2019)
Dentro de la ingeniería estructural, el monitoreo de condición usando diferentes tipos de sensores ha sido importante en la prevención de fallas y diagnóstico del estado de salud. El desafío actual es aprovechar al máximo ...
Recurrent capsule networks for remaining useful life prognostics
(Research Publishing Serviceseditorial@rpsonline.com.sg, 2020)
Rapid and reliable identification of Staphylococcus aureus capsular serotypes by means of artificial neural network-assisted Fourier-transform infrared spectroscopy
(American Society for Microbiology, 2013-05)
Staphylococcus aureus capsular polysaccharides (CP) are important virulence factors and represent putative targets for vaccine development. Therefore, the purpose of this study was to develop a high-throughput method to ...
Análisis comparativo de arquitecturas de redes neuronales para la clasificación de imágenes
La clasificación de imágenes ha sido una de las principales áreas de investigación dentro del
campo de visión artificial. Desde hace algo más de una década ha estado dominado por las
redes neuronales convolucionales, ...
Influence of water uptake, gel network, and disintegration time on prednisone release from encapsulated solid dispersions
(Taylor & Francis, 2010-09)
Prednisone is considered the glucocorticoid of choice for anti-inflammatory and immunosuppressant effects. However, its very low aqueous solubility can compromise oral bioavailability. Changes in the dissolution of a ...