3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
Enhanced multi-fidelity modelling for digital twin and uncertainty quantification
AS Desai, Navaneeth N, S Adhikari +1
The increasing significance of digital twin technology across engineering and industrial domains, such as aerospace, infrastructure, and automotive, is undeniable. However, the lac…
stat.ML2022★ 3 cited
Probabilistic machine learning based predictive and interpretable digital twin for dynamical systems
Tapas Tripura, Aarya Sheetal Desai, Sondipon Adhikari +1
A framework for creating and updating digital twins for dynamical systems from a library of physics-based functions is proposed. The sparse Bayesian machine learning is used to upd…