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Advanced Modeling and Simulation in Engineering Sciences
Fig. 2 | Advanced Modeling and Simulation in Engineering Sciences

Fig. 2

From: Fully convolutional networks for structural health monitoring through multivariate time series classification

Fig. 2

FCN architecture in the case of a single data type. Here \(N_0\) represents the number of input channels and N represents the adopted number of filters. For sake of clarity, the dimensionality of the building blocks has been enhanced: a three-dimensional parallelepiped is used to depict the two-dimensional output of each convolutional layer; a two-dimensional rectangle is used to depict the one-dimensional output of the global pooling layer and of the softmax layer

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