Abstract: State-of-charge (SOC) estimation is crucial for improving the safety, reliability, and performance of the battery. Neural networks-based methods for battery SOC estimation have received ...
Abstract: Neural Ordinary Differential Equations (NODEs) revolutionize the way we view residual networks as solvers for initial value problems (IVPs), with layer depth serving as the time step. In ...
The course gives an introduction to analytical techniques for partial differential equations, in particular to separation of variables. In addition the course treats qualititative properties of ...
The example data used in this tutorial are mostly from the paper Organoid single-cell genomic atlas uncovers human-specific features of brain development. In addition, a subset of data presented in ...
In this paper, we introduce a class of stochastic semi-linear wave equations with time-fractional derivatives, and study the existence, uniqueness, and the existence of continuous modification of mild ...
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