Buscar
Mostrando ítems 1-10 de 239
Chaotic Synchronization in Nearest-Neighbor Coupled Networks of 3D CNNs
(Universidad Nacional Autónoma de México (UNAM), 2013)
Transfer learning between texture classification tasks using convolutional neural networks
(IEEE, 2015)
Convolutional Neural Networks (CNNs) have set the state-of-the-art in many computer vision tasks in recent years. For this type of model, it is common to have millions of parameters to train, commonly requiring large ...
Uso de Machine Learning para a Síntese Física de Circuitos Integrados Digitais
(Florianópolis, SC, 2022)
Chaotic Synchronization in Nearest-Neighbor Coupled Networks of 3D CNNs
(Universidad Nacional Autónoma de México (UNAM), 2013)
Algoritmos bioinspirados para otimização de CNNs aplicados na detecção de câncer de mama utilizando imagens termográficasCNN optimization using bio-inspired algorithms for breast cancer detection using infrared images
(Universidade Federal de UberlândiaBrasilPrograma de Pós-graduação em Ciência da Computação, 2022)
Spatiotemporal CNNs for pornography detection in videos
(2019-01-01)
With the increasing use of social networks and mobile devices, the number of videos posted on the Internet is growing exponentially. Among the inappropriate contents published on the Internet, pornography is one of the ...
Visual explanations of convolutional neural networks for MRI classification of Alzheimer's disease
(Universidade Federal de Minas GeraisBrasilICX - DEPARTAMENTO DE CIÊNCIA DA COMPUTAÇÃOPrograma de Pós-Graduação em Ciência da ComputaçãoUFMG, 2020-11-16)
A Doença de Alzheimer (DA) é uma doença neurodegenerativa que afeta milhões de pessoas no mundo todo, e esse número deve aumentar significativamente nos próximos anos. Dado que não existe cura ou tratamento efetivo para a ...
Effect of Speckle Filtering in the Performance of Segmentation of Ultrasound Images Using CNNs
(Cartagena de Indias, 2022)
The convolutional neural networks (CNNs) as tools for ultrasound image segmentation often have their performance affected by the low signal-to-noise ratio of the images. This prevents a correct classification and extraction ...
Improving industrial security device detection with convolutional neural networks
(Institute of Advanced Engineering and Science (IAES), 2023)
Employee safety is paramount in the manufacturing industry to ensure their well-being and protection. Technological advancements, particularly convolutional neural networks (CNN), have significantly enhanced this safety ...