Abstract: Flood mapping using remote sensing data is critical to disaster response, especially in real-time monitoring and edge deployment. However, existing deep-learning (DL) models often face ...

In the spring of 2020, the Federal Reserve faced a challenge: The COVID-19 pandemic was upending daily life with shutdowns, social distancing, and heightened uncertainty, but the traditional economic ...

Add Yahoo as a preferred source to see more of our stories on Google. A map showing the Strait of Hormuz and Iran is seen in this illustration taken June 22, 2025. (photo credit: REUTERS/DADO ...

Abstract: The scarcity and imbalance of labelled training data in real-world requirement engineering datasets constrain the effectiveness of automating software requirement classification using deep ...

Targeted protein degradation, particularly using PROTACs, offers a promising strategy to treat diseases. However, designing effective PROTACs remains challenging due to limitations in current ...

WEST PALM BEACH, Fla. -- Shortly after his arrival at Houston's Spring Training complex a few weeks ago, Astros pitching coaches did something with Kai-Wei Teng that none of his other teams had ever ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

Residents packed an East Whiteland Township auditorium Monday, March 9, to discuss a proposed data center project. The planning commission reviewed amendments to the already approved plan but did not ...