Proposed Bayesian calibration framework for digital twins (IMAGE)

Pusan National University

Proposed Bayesian calibration framework for digital twins

Caption

This innovative framework accounts for both parameter uncertainty and discrepancy, key issues that affect prediction accuracy of digital twins of automated material handling systems in semiconductor and display fabrication industries, improving decision-making capabilities and production performance.

Credit

Prof. Soondo Hong from Pusan National University

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