A numerical approach for soil microbiota growth prediction through physics-informed neural network
In recent years, there has been a growing interest in leveraging Scientific Machine Learning
(SciML) techniques to address challenges in solving Partial Differential Equations (PDEs) …
(SciML) techniques to address challenges in solving Partial Differential Equations (PDEs) …
Online learning in bifurcating dynamic systems via SINDy and Kalman filtering
We propose the use of the Extended Kalman Filter (EKF) for online data assimilation and
update of a dynamic model, preliminary identified through the Sparse Identification of …
update of a dynamic model, preliminary identified through the Sparse Identification of …