Model Architecture =========================================================== * Bayesian 3D CNN architecture ------------------------------------ Enables estimation of real-valued process parameters for Root Cause (RC) isolation .. figure:: 3d_cnn.png :align: center *Fig 1: Bayesian 3D CNN for Object Shape Error Response (OSER) for single-station assembly systems* * Bayesian 3D U-Net architecture ------------------------------------ Enables estimation of heterogeneous set of real-valued and categorical process parameters and estimates upstream shape error for Root Cause (RC) isolation. .. figure:: U_net.png :align: center *Fig 1: Bayesian 3D U-Net for Object Shape Error Response for multi-station assembly systems (OSER-MAS)*