Two studies published in 2025 pushed back on the claims that the Dutch painter’s famous work accurately depicted a ...
Abstract: Efficient and resilient traffic management relies on accurate prediction of air traffic states. However, the complex spatial-temporal dependencies of air traffic networks make this task ...
Abstract: In this study, we propose a Bayesian seismic tomography inference method using physics-informed neural networks (PINNs). PINN represents a recent advance in deep learning, offering the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results