Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...

Space weather can disrupt satellite navigation and communication systems by triggering rapid fluctuations in the ionosphere.

Abstract: Harnessing the full potential of capsule robots requires highly precise and reliable pose estimation. This paper presents a dynamic bounding box optimization strategy based on Gaussian ...

Abstract: This paper develops a robust variational Bayesian unscented Kalman filter (RVBUKF) to track the state of active distribution networks with distributed energy resources. First, a spherical ...