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: Belief propagation (BP)-based algorithms, typified by their efficient probabilistic inference abilities, are widely used for distributed reasoning in complex systems. However, BP has seldom ...

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 ...