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A survey on text generation using generative adversarial networks
(2021-11-01)
This work presents a thorough review concerning recent studies and text generation advancements using Generative Adversarial Networks. The usage of adversarial learning for text generation is promising as it provides ...
Plantar pressure image classification employing residual-network model-based conditional generative adversarial networks: a comparison of normal, planus, and talipes equinovarus feet
The number of deep learning (DL) layers increases, and following the performance of computing nodes improvement, the output accuracy of deep neural networks (DNN) faces a bottleneck problem. The resident network (RN) based ...
Análise de aprendizado adversarial baseado em similaridade na geração de texto
(Universidade Estadual Paulista (Unesp), 2022-11-22)
Algoritmos de Aprendizado de Máquina têm sido amplamente fomentados nos últimos anos, principalmente devido às suas capacidades discriminativas em problemas de Visão Computacional e Processamento de Linguagem Natural. ...
Deep semi-supervised generative adversarial fault diagnostics of rolling element bearings
(SAGE, 2020)
With the availability of cheaper multisensor suites, one has access to massive and multidimensional datasets that can and should be used for fault diagnosis. However, from a time, resource, engineering, and computational ...
Deep semi-supervised generative adversarial fault diagnostics of rolling element bearings
(SAGE Publications Ltd, 2020)
© The Author(s) 2019.With the availability of cheaper multisensor suites, one has access to massive and multidimensional datasets that can and should be used for fault diagnosis. However, from a time, resource, engineering, ...
An Analysis of Techniques for Building Generative Adversarial Networks
(Araranguá, SC, 2021)
A Deep Adversarial Approach Based on Multi-Sensor Fusion for Semi-Supervised Remaining Useful Life Prognostics
(MDPI, 2020)
Multi-sensor systems are proliferating in the asset management industry. Industry 4.0, combined with the Internet of Things (IoT), has ushered in the requirements of prognostics and health management systems to predict the ...
Generative adversarial networks for hierarchical clustering
(Universidade Federal de Minas GeraisBrasilICX - DEPARTAMENTO DE CIÊNCIA DA COMPUTAÇÃOPrograma de Pós-Graduação em Ciência da ComputaçãoUFMG, 2021-05-28)
Métodos de clusterização profunda alcançaram recentemente um progresso substancial, aproveitando o poder de representação de arquiteturas de aprendizagem profunda para aprender representações que são ideais para análise ...
Brain Tumor Classification Using a Pre-Trained Auxiliary Classifying Style-Based Generative Adversarial Network
Computer Vision's applications and their use cases in the medical field have grown vastly in the past decade. The algorithms involved in these critical applications have helped doctors and surgeons perform procedures on ...