Astronomical seeing - Wikipedia
In astronomy, seeing is the degradation of the image of an astronomical object due to turbulence in the atmosphere of Earth that may become visible as
In astronomy, seeing is the degradation of the image of an astronomical object due to turbulence in the atmosphere of Earth that may become visible as
Join the Tenno and defend an ever-expanding universe. Wield your Warframe's tactical abilities, craft a loadout of devastating weaponry and define your playstyle to become an unstoppable force in this …
Join the Tenno and defend an ever-expanding universe. Wield your Warframe's tactical abilities, craft a loadout of devastating weaponry and define your playstyle to become an unstoppable force in this …
Join the Tenno and defend an ever-expanding universe. Wield your Warframe's tactical abilities, craft a loadout of devastating weaponry and define your playstyle to become an unstoppable force in this …
Join the Tenno and defend an ever-expanding universe. Wield your Warframe's tactical abilities, craft a loadout of devastating weaponry and define your playstyle to become an unstoppable force in this …
Join the Tenno and defend an ever-expanding universe. Wield your Warframe's tactical abilities, craft a loadout of devastating weaponry and define your playstyle to become an unstoppable force in this …
Meta-heuristic algorithms have become very popular because of powerful performance on the optimization problem. A new algorithm called beetle antennae search algorithm (BAS) is proposed in the paper inspired by the searching behavior of longhorn beet...
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On the night of November 26, a fire broke out at Wang Fuk Court in Hong Kong, causing more than one hundred deaths so far, with many others injured and missing. Why the fire occurred has become the ...
Accelerating deep convolutional neural networks has become an active topic and sparked an interest in academia and industry. In this paper, we propose an efficient low-precision quantized Winograd convolution algorithm, called LANCE, which combines t...
Due to the increasing use of Machine Learning models in high stakes decision making settings, it has become increasingly important to have tools to understand how models arrive at decisions. Assuming a trained Supervised Classification model, explana...
Bayesian likelihood-free inference, which is used to perform Bayesian inference when the likelihood is intractable, enjoys an increasing number of important scientific applications. However, many aspects of a Bayesian analysis become more challenging...
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In this paper we analyze the asymptotic behavior of the Dirichlet fractional Laplacian $(-Δ_{\mathbb R^{n+k}})^{s}$, with $s\in (0, 1)$, on bounded domains in $\mathbb R^{n+k}$ that become unbounded in the last $k$-directions. A dimension reduction...
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We consider the vacuum energy for a configuration of two cylinders and obtain its asymptotic expansion if the radius of one of these cylinders becomes large while the radius of the other one and their separation are kept fixed. We calculate explici...
Electronic Health Records (EHRs) have become the primary form of medical data-keeping across the United States. Federal law restricts the sharing of any EHR data that contains protected health information (PHI). De-identification, the process of iden...
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