An adaptive digital twin uses online Bayesian updates on transition probabilities in dynamic Bayesian networks, combined with reinforcement learning on parametric MDPs, to enable personalized predictive decision-making for structural health monitoring.
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Adaptive reduced-basis trust-region framework for efficient IRGNM-based defect identification in hyperbolic elastic systems, extending prior elliptic/parabolic work.
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Adaptive digital twins for predictive decision-making: Online Bayesian learning of transition dynamics
An adaptive digital twin uses online Bayesian updates on transition probabilities in dynamic Bayesian networks, combined with reinforcement learning on parametric MDPs, to enable personalized predictive decision-making for structural health monitoring.
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Adaptive Reduced-Basis Trust-Region Methods for Defect Identification in Elastic Materials
Adaptive reduced-basis trust-region framework for efficient IRGNM-based defect identification in hyperbolic elastic systems, extending prior elliptic/parabolic work.