Abstract: The generalized Hamiltonian system theory (GHST) is a powerful tool for excitation control in high-dimensional non-linear power systems, but relies on reduced-order dynamics, given the ...

Abstract: Duringthe design of electrical machines, multiple performance objectives need to be considered. Although stochastic optimization algorithms are extensively employed for this purpose, a ...

MMM is trained on the GigaMIDI dataset. On GPU clusters, the compute nodes usually can't access the internet. The dataset hence must be already downloaded before running the training itself on the ...

最近想要翻译一些技术文档，由于一些专业术语需要确保一致性，所以接触到了 CAT（计算机辅助翻译）软件，最终选择了 memoQ ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Cloud operators utilize collective communication optimizers to enhance the efficiency of the single-tenant, centrally managed training clusters they manage. However, current optimizers struggle to ...

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