MULTIVARIABLE TIME-SERIES FEATURE EXTRACTION
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United States of America Patent
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Issued Date -
Aug 1, 2024
app pub date -
Jan 27, 2023
filing date -
Jan 27, 2023
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Abstract
One or more computer processors create a fully convolution network (FCN) comprising a plurality of 1×1 convolutions. The one or more computer processors append linear mapping layer (LM) to created FCN. The one or more computer processors capture a plurality of features utilizing multi-scale dilated convolutional kernels from the linear mapped FCN (LM-FCN). The one or more computer processors apply an average pool layer to the captured plurality of features along a temporal axis of a dilated convolutional kernel within the LM-FCN. The one or more computer processors predict a classification for subsequent time-series data utilizing the pooled plurality of features.
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