In this contribution, we present a generic and therefore easily scalable multimodal framework for error robust processing of user interactions in various domains. The system provides a generic kernel for evaluating user inputs and additional pieces of information from situational, personal, and functional context. After an initial domain-specific configuration, the system is capable of detectin...

In this paper, we propose an offline-online strategy based on the Localized Orthogonal Decomposition (LOD) method for elliptic multiscale problems with randomly perturbed diffusion coefficient. We consider a periodic deterministic coefficient local defects that occur probability p . The offline phase pre-computes entries to global LOD stiffness matrices single reference element (exploiting peri...

The Kolmogorov n-width of the solution manifolds transport-dominated problems can decay slowly. As a result, it be challenging to design efficient and accurate reduced order models (ROMs) for such problems. To address this issue, we propose new learning-based projection method construct nonlinear adaptive ROMs transport construction follows offline–online decomposition. In offline stage, train ...