This work presents an object placement and lookup method that achieves full placement flexibility, balanced load, low ...

During the penetration process of hypersonic glide vehicles (HGV), the maneuvering forms are varied, which brings some challenges for tracking them, such as difficulty in the stable matching of single ...

Abstract: Data stream clustering is a critical operation in various real-world applications, ranging from the Internet of Things (IoT) to social media and financial systems. Existing data stream ...

Abstract: In geophysics, structure-oriented filtering (SOF) has been extensively utilized as an effective algorithm to eliminate random noise. This type of filtering is mainly restricted by the local ...

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms—addressing a ...

As millions of Americans gather Monday to celebrate Labor Day, federal data shows how President Trump's immigration policies are reshaping the U.S. workforce. The number of immigrant workers in the ...