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Convolutional Neural Networks with Transfer Learning for Pneumonia Detection
(Science and Information OrganizationGB, 2022)
"Pneumonia is a type of acute respiratory infection
caused by microbes, and viruses that affect the lungs. Pneumonia
is the leading cause of infant mortality in the world, accounting
for 81% of deaths in children under ...
Convolutional Neural Networks with Transfer Learning for Pneumonia Detection
(Science and Information OrganizationGB, 2022)
"Pneumonia is a type of acute respiratory infection
caused by microbes, and viruses that affect the lungs. Pneumonia
is the leading cause of infant mortality in the world, accounting
for 81% of deaths in children under ...
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, 2019)
Neighbour-based bag-of-samplings for person identification through handwritten dynamics and convolutional neural networks
(2022-05-01)
Biometric recognition provides straightforward methods to deal with the problem of identifying people under certain circumstances. Additionally, a well-calibrated biometric system enhances security policies and prevents ...
Handling dropout probability estimation in convolution neural networks using meta-heuristics
(Springer, 2018-09-01)
Deep learning-based approaches have been paramount in recent years, mainly due to their outstanding results in several application domains, ranging from face and object recognition to handwritten digit identification. ...
BreastNet: Breast cancer categorization using convolutional neural networks
(2020-07-01)
Breast cancer is usually classified as either benign or malignant, where the former is not considered hazardous to health. Nonetheless, the benign tumors must be periodically monitored to control their activity and to ...
Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification
(2018-05-01)
Background and objective: Parkinson's disease (PD) is considered a degenerative disorder that affects the motor system, which may cause tremors, micrography, and the freezing of gait. Although PD is related to the lack of ...
Semi-supervised learning with convolutional neural networks for UAV images automatic recognition
(Elsevier B.V., 2019-09-01)
The annotation of large datasets is an issue whose challenge increases as the number of labeled samples available to train the classifier reduces in comparison to the amount of unlabeled data. In this context, semi-supervised ...
Semi-supervised learning with connectivity-driven convolutional neural networks
(2019-12-01)
The annotation of large datasets is an issue whose challenge increases as the number of labeled samples available to train the classifier reduces in comparison to the amount of unlabeled data. In this context, semi-supervised ...
Convolutional neural networks applied for Parkinson’s disease identification
(2016-01-01)
Parkinson’s Disease (PD) is a chronic and progressive illness that affects hundreds of thousands of people worldwide. Although it is quite easy to identify someone affected by PD when the illness shows itself (e.g. tremors, ...