Illustration of 1D convolution with (bottom) and without (top)

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Introduction to 1D Convolutional Neural Networks in Keras for Time

From top to bottom: Input signal v, Gaussian and triangular operators

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Types of Faults for TE Process [6, 12].

1D convolutional neural network architecture. This architecture

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1D convolutional neural networks for chart pattern classification

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