This First Approach involves manually creating sliding windows after normalization, without relying on the Conv1D kernel. This configuration did not include dropout layers.


This Second Approach leverages the Conv1D layer to apply internal sliding windows across each maneuver. Dropout layers were still not included in this configuration.