Abstract: Reliability analysis for structural systems relies on an accurate surrogate model. Currently, several multiple Kriging methods are utilized to calculate the failure probability. However, ...
As rare disease trials face persistent feasibility challenges, Bayesian designs are gaining momentum by enabling more ...
Abstract: This paper proposes a Bayesian neural network method for predicting equipment operational trends based on a channel attention mechanism. Traditional time series prediction methods have ...
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