Machine learning (ML) is a subfield of artificial intelligence. The term applies broadly to a
collection of computational algorithms and techniques that train systems from raw data …

At the time this thesis is written, the world nds itself amidst and partly in the process of
recovering from the COVID-19 pandemic caused by the SARS-Cov-2 virus. One major …

机器学习技术在近十几年发展迅猛, 并被广泛地用于解决复杂的科学和工程问题. 最近十年间,
基于机器学习的粒子加速器相关研究也开始呈现出井喷式发展趋势. 国际上许多加速器实验室 …

For measuring the temporal profile of the coherent synchrotron radiation (CSR) at the KIT
storage ring KARA (Karlsruhe Research Accelerator) an experimental setup based on …

The study and understanding of collective effects plays a vital role for fourth-generation light
sources. These effects mostly need to be mitigated and controlled to achieve the design …

Rapid growth of machine learning techniques has arisen over last decades, which results in
wide applications of machine learning for solving various complex problems in science and …

Abstract The Innovation Pool project Amalea of the Helmholtz association of Germany will
explore and provide novel cuttingedge machine learning techniques to address some of the …

It is related to the synchronicity of power supplies that ions accelerated successfully in a
synchrotron. The weakened synchronicity will lead to a failure of the acceleration. By …

Abstract Machine learning (ML) is a subfield of artificial intelligence. The term applies
broadly to a collection of computational algorithms and techniques that train systems from …