Abstract: Unmanned Aerial Vehicles (UAVs) equipped with magnetic sensors are vital for geophysical surveys, environmental monitoring, and target detection. However, magnetic interference from UAV ...
Juraj Slafkovský, right, is in his fourth NHL season. Minas Panagiotakis / Getty Images MONTREAL – One day before the start of the Montreal Canadiens’ regular season, Juraj Slafkovský was in a ...
This important work introduces a family of interpretable Gaussian process models that allows us to learn and model sequence-function relationships in biomolecules. These models are applied to three ...
ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...
This was pressure, or at least the closest thing to it for a boy who craved a cold, sugary treat. As young Tyler Loop lined up for a goal kick, a parent of one of his soccer teammates shouted from the ...
School of Materials Science and Engineering, Beihang University, Beijing 100191, China State Key Laboratory of Artificial Intelligence for Materials Science, Beihang University, Beijing 100091, China ...
Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of Nadaraya-Watson kernel regression using the C# language. NW kernel regression is simple to implement and is ...
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