Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...
Abstract: In this article, we explore two data-driven methods to perform fault estimation on a linear time-invariant discrete-time state-space model, whose state equation is affected by both ...
The use of generative AI enables a novel computational approach to localize individual trees in all cities, despite their ...
Abstract: We propose the Physics-Informed Neural Network-driven Sparse Field Discretization method (PINN-SFD), a novel self-supervised, physics-informed deep learning approach for addressing the ...
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