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

Claim 1:
2. The system of claim 1, wherein, when training the machine learning model, the at least one processor is programmed or configured to:
provide the combined real part of the first plurality of features as an input to a one-dimensional feature extraction convolutional layer;
provide the combined imaginary part of the first plurality of features as an input to the one-dimensional feature extraction convolutional layer;
provide the combined real part of the second plurality of features as an input to the one-dimensional feature extraction convolutional layer;
provide the combined imaginary part of the second plurality of features as an input to the one-dimensional feature extraction convolutional layer;
provide the combined real part of the third plurality of features as an input to the one-dimensional feature extraction convolutional layer;
provide the combined imaginary part of the third plurality of features as an input to the one-dimensional feature extraction convolutional layer; and
generate the output of the feature extraction component of the machine learning model based on an output of the one-dimensional feature extraction convolutional layer.