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Ponencia
PBIL for Optimizing Hyperparameters of Convolutional Neural Networks and STL Decomposition
(Springer, 2020)
The optimization of hyperparameters in Deep Neural Net-works is a critical task for the final performance, but it involves a high amount of subjective decisions based on previous researchers’ expertise. This paper presents ...
Ponencia
A stacked deep convolutional neural network to predict the remaining useful life of a turbofan engine
(PHM Society, 2021)
his paper presents the data-driven techniques and method ologies used to predict the remaining useful life (RUL) of a fleet of aircraft engines that can suffer failures of diverse nature. The solution presented is based ...