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Tree-based convolutional neural networks for object classification in segmented satellite images
Satellite images have a very high resolution, which make their automatic processing computationally costly, and they suffer from artifacts making their processing difficult. This paper describes a method for the effective ...
Automatic Classification of Oral Pathologies Using Orthopantomogram Radiography Images Based on Convolutional Neural Network
An attempt has been made to device a robust method to classify different oral pathologies using Orthopantomogram (OPG) images based on Convolutional Neural Network (CNN). This system will provide a novel approach for the ...
Detection of diabetic retinopathy based on a convolutional neural network using retinal fundus images
(Springer Verlag, 2017)
Diabetic retinopathy is one of the leading causes of blindness. Its damage is associated with the deterioration of blood vessels in retina. Progression of visual impairment may be cushioned or prevented if detected early, ...
Convolutional neural networks for automated damage recognition and damage type identification
(John Wiley and Sons Ltd, 2018)
Recurring expenses associated with preventative maintenance and inspectionproduce operational inefficiencies and unnecessary spending. Human inspec-tors may submit inaccurate damage assessments and physically inaccessibl ...
A Convolution Neural Network Engine for Sclera Recognition
The world is shifting to the digital era in an enormous pace. This rise in the digital technology has created plenty of applications in the digital space, which demands a secured environment for transacting and authenticating ...
Método de predicción de velocidad para una red de tráfico de gran escala usando una convolutional neural network con separable convolution
(Universidad Nacional de San Agustín de Arequipa, 2018)
Esta investigación propone la reducción del tiempo de convergencia del método de predicción de velocidad basado en una convolutional neural network (CNN) para toda una red de tráfico, manteniendo el performance de todas ...
Visually Impaired Aid using Convolutional Neural Networks, Transfer Learning, and Particle Competition and Cooperation
(2020-07-01)
Navigation and mobility are some of the major problems faced by visually impaired people in their daily lives. Advances in computer vision led to the proposal of some navigation systems. However, most of them require ...
Visually Impaired Aid using Convolutional Neural Networks, Transfer Learning, and Particle Competition and Cooperation
(Ieee, 2020-01-01)
Navigation and mobility are some of the major problems faced by visually impaired people in their daily lives. Advances in computer vision led to the proposal of some navigation systems. However, most of them require ...
Rate-energy-accuracy Optimization Of Convolutional Architectures For Face Recognition
(Academic Press in Elsevier ScienceSan Diego, 2016)
Rate-energy-accuracy Optimization Of Convolutional Architectures For Face Recognition
(ACADEMIC PRESS INC ELSEVIER SCIENCESAN DIEGO, 2016)