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Does Pooling Really Matter? An Evaluation on Gait Recognition
(2019-01-01)
Most Convolutional Neural Networks make use of subsampling layers to reduce dimensionality and keep only the most essential information, besides turning the model more robust to rotation and translation variations. One of ...
TERL: classification of transposable elements by convolutional neural networks
(2021-05-20)
Transposable elements (TEs) are the most represented sequences occurring in eukaryotic genomes. Few methods provide the classification of these sequences into deeper levels, such as superfamily level, which could provide ...
Convolution based feature extraction for edge computing access authentication
(IEEE Computer Soc, 2020)
In this article, a convolutional neural network (CNN)
enhanced radio frequency fingerprinting (RFF) authentication
scheme is presented for Internet of things (IoT). RFF is a
non-cryptographic authentication technology, ...
3D medical image segmentation based on 3D convolutional neural networks
(Universidad Católica San PabloPE, 2021)
A neural network is a mathematical model that is able to perform a task
automatically or semi-automatically after learning the human knowledge that
we provided. Moreover, a Convolutional Neural Network (CNN) is a type ...
Breast cancer subtype classification using a one-dimensional convolutional neural network in hyperspectral images
(Optica Publishing Group, 2023)
Synthetic Aperture Radar Automatic Target Recognition Based on a Simple Attention Mechanism
A simple but effective channel attention module is proposed for Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR). The channel attention technique has shown recent success in improving Deep Convolutional ...
Evaluación automática de la enfermedad de Parkinson a partir de señales de escritura online considerando arquitecturas de aprendizaje profundo como las CNNs
(Grupo de Investigación en Telecomunicaciones Aplicadas (GITA)Medellín - Colombia, 2023)
Application of statistically-based methods to heat transfer problems
(2019)
Dois novos métodos de análise de escoamentos com altas taxas de transferência de calor foram desenvolvidos com a ideia de unir conceitos de duas áreas distintas: estatística e transferência de calor. No primeiro método, a ...
Predictive model of cardiovascular diseases implementing artificial neural networks
(Springer VerlagGermany, 2023)
Dynamic multimodal object segmentation based on natural language referring expressions and its applications
(Universidad de los AndesIngeniería de Sistemas y ComputaciónFacultad de IngenieríaDepartamento de Ingeniería de Sistemas y Computación, 2018)
"En este documento de tesis se propone un modelo de Aprendizaje Profundo para resolver la tarea de segmentación de objetos basada en expresiones referidas descritas a través de lenguaje natural. El modelo se encuentra ...