Using a novel simulation model based on machine learning, an international research team at GSI/FAIR has succeeded in gaining a deeper understanding of element formation in stellar events such as ...
Abstract: Genetic algorithm is used to randomly search the feasible region in global optimization problems. The search mechanism of genetic algorithm needs multiple iterations to evolve current ...
On the 19th of February 2025, M.Sc. Andreas Grigorjew defends his PhD thesis on Algorithms and Graph Structures for Splitting Network Flows, in Theory and Practice. The thesis is related to research ...
Recently, a research team led by Prof. GAO Xiaoming from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, developed an intelligent neural network algorithm that effectively ...
Neuromorphic computing, which is inspired by brain neural mechanisms and cognitive behavior mechanisms by means of computational modeling, is emerging with the promise of transforming information ...
Abstract: This paper presents an effective fault diagnosis algorithm for induction motor used in electric vehicles, which is applicable to motor faults operating in a wide speed range. In this paper, ...
Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...
UNIVERSITY PARK, Pa. -- From biochemical reactions that produce cancers, to the latest memes virally spreading across social media, simple actions can generate complex behaviors. For researchers ...
Department of Medicinal Chemistry, Research and Early Development, Respiratory and Immunology, Biopharmaceutical R&D, AstraZeneca, Pepparedsleden 1, SE 43183 Mölndal, Sweden ...
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