Abstract: Tracking inertia in real-time has emerged as a crucial topic for the modern low-inertia power system. However, in practice, large disturbances are infrequent, posing a challenge for routine ...

In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or a snapshot of the ocean's surface, including peaks and valleys due to ...

Dec 19 (Reuters) - Ford (F.N), opens new tab is recalling 272,645 vehicles in the U.S. due to a loss of park function, causing the vehicle to roll away and increasing the risk of a crash, the U.S.

This figure illustrates the overall framework and loss function design of the proposed Geostrophic-TAU U-Net (GTU-Net) for sea surface height prediction. The upper panel presents the physical ...

Euresys announce the availability of Cost-Effective Inference Licenses for image classification, supervised or unsupervised segmentation and object localization. When implementing Deep Learning on ...

Abstract: Conventional neural network-based machine learning algorithms often encounter difficulties in data-limited scenarios or where interpretability is critical. Conversely, Bayesian ...

ABSTRACT: Binary outcomes are frequently encountered in a variety of fields and contexts and the Bayesian approach is widely used to analyze this type of data. Under this framework, a beta prior ...

While humans can regularly replace certain cells, like those in our blood and gut, we cannot naturally regrow most other parts of the body. For example, when the tiny sensory hair cells in our inner ...

Stowers scientists identify specific genes involved in zebrafish sensory hair cell regrowth, providing new insights that could inform future research into hearing loss treatments KANSAS CITY, MO — ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

ABSTRACT: Variational methods are highly valuable computational tools for solving high-dimensional quantum systems. In this paper, we explore the effectiveness of three variational methods: density ...