Patent ID: 11922290
Assignee: VISA INTERNATIONAL SERVICE ASSOCIATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 6:
7. The method of claim 6, wherein training the machine learning model comprises:
providing the combined real part of the first plurality of features as an input to a one-dimensional feature extraction convolutional layer;
providing the combined imaginary part of the first plurality of features as an input to the one-dimensional feature extraction convolutional layer;
providing the combined real part of the second plurality of features as an input to the one-dimensional feature extraction convolutional layer;
providing the combined imaginary part of the second plurality of features as an input to the one-dimensional feature extraction convolutional layer;
providing the combined real part of the third plurality of features as an input to the one-dimensional feature extraction convolutional layer;
providing the combined imaginary part of the third plurality of features as an input to the one-dimensional feature extraction convolutional layer; and
generating the output of the feature extraction component of the machine learning model based on an output of the one-dimensional feature extraction convolutional layer.