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 ...

In this project, the student will work on probabilistic modelling and machine-learning techniques to advance the current description of nuclear reactions in specific energy regimes of astrophysical ...

Deep machine learning has achieved remarkable success in various fields of artificial intelligence, but achieving both high interpretability and high efficiency simultaneously remains a critical ...

Abstract: National Airspace Systems (NAS) are cyber-physical systems that require swift air traffic management (ATM) to ensure flight safety and efficiency. With the surging demand for air travel and ...

Journal of Coastal Research, SPECIAL ISSUE No. 95. An International Forum for the Littoral Sciences (SPRING 2020), pp. 1291-1296 (6 pages) Tsunamis, which are long-period oceanic waves, are known as ...

What Is A Probabilistic Model? A probabilistic model is a statistical tool that accounts for randomness or uncertainty when predicting future events. Instead of giving a definitive answer, it ...

2025 NOV 05 (NewsRx) -- By a News Reporter-Staff News Editor at Health Policy and Law Daily-- Data detailed on Machine Learning have been presented. According to news reporting from Hong Kong, ...