Commonly, in Ordinary Differential Equations courses, equations with impulses or discontinuous forcing functions are studied. In this context, the Laplace Transform of the Dirac delta function and ...
Abstract: Graph clustering plays a crucial role in uncovering implicit information within data which can be used to rationally classify potential data samples in unsupervised scenarios. In recent ...
When a couple of serious meditators purchased the top floor of a vintage row house, they had visions of a kitchen conducive to enjoyable cooking, cozy nooks for different tasks, and “serene space they ...
National Institutes of Health Director Dr. Jay Bhattacharya celebrated President Trump's executive order preventing the U.S. government from funding viral "gain-of-function" research in foreign ...
First, they sprouted arms; now, robot vacuums are getting legs. The latest bot from Dreame has two small legs that can push it up and over a step as high as 6cm (about 2.5 inches). The Dreame X50 ...
Abstract: In the graph-based semi-supervised learning, the Green-function method is a classical method that works by computing the Green's function in the graph space. However, when applied to large ...
After more than 40 years with the Alliance of Motion Picture and Television Producers, Carol Lombardini is preparing to step down from her role as chief negotiator of labor contracts for Hollywood’s ...
Knowledge Graph (KG) synthesis is gaining traction in artificial intelligence research because it can construct structured knowledge representations from expansive, unstructured text data. These ...
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