Abstract: Space-time adaptive processing (STAP) based on sparse Bayesian learning (SBL ... express the clustered correlation properties and effectively alleviates the off-grid problem. Experimental ...

Predict dynamic behaviors in a physics system in a way that's computationally efficient and adaptable to a range of scenarios.

Scientists at the Okinawa Institute of Science and Technology (OIST), the National Institute of Information and ...

For living organisms, this is an optimal strategy for balancing the exploitation of nearby resources with the exploration of new opportunities when the distribution of resources is sparse and unknown.

Find out more about how we test. But things have been looking up for us house players in recent years in the practice amp stakes – and now Positive Grid may have just aligned its Spark Amp tech with ...

Record-breaking rates of solar connected to the power grid in 2024 A new report by the Business Council for Sustainable Energy and BloombergNEF unpacks the market and policy trends facing the U.S.

The Optimal Current Grid Approximation recently proposed approach has introduced sparse wire-grid structures with further mass reduction but poses fabrication challenges, prompting modified approaches ...

Knowledge graphs (KGs) are the foundation of artificial intelligence applications but are incomplete and sparse, affecting their effectiveness. Well-established KGs such as DBpedia and Wikidata lack ...