18 citations · 20 across the 3 of their papers we have counts for
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cs.AI2023★ 2 cited
D3A-TS: Denoising-Driven Data Augmentation in Time Series
David Solis-Martin, Juan Galan-Paez, Joaquin Borrego-Diaz
It has been demonstrated that the amount of data is crucial in data-driven machine learning methods. Data is always valuable, but in some tasks, it is almost like gold. This occurs…
cs.AI2021★ 18 cited
A stacked deep convolutional neural network to predict the remaining useful life of a turbofan engine
David Solis-Martin, Juan Galan-Paez, Joaquin Borrego-Diaz
This paper presents the data-driven techniques and methodologies used to predict the remaining useful life (RUL) of a fleet of aircraft engines that can suffer failures of diverse…