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Titlebook: Data Analytics in System Engineering; Proceedings of 7th C Radek Silhavy,Petr Silhavy Conference proceedings 2024 The Editor(s) (if applica

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發(fā)表于 2025-3-25 04:22:21 | 只看該作者
Applied Analysis of Differences by Cross-Correlation Functions,e p values between the correlation data themselves, which in addition, the trend of correlation data is measured for expression of the dynamic of cross-correlation achieved data. Application of the proposed method is realized on the real data set of the behavior of power transmission systems in the Moravia-Silesian region.
22#
發(fā)表于 2025-3-25 10:28:13 | 只看該作者
23#
發(fā)表于 2025-3-25 11:52:49 | 只看該作者
24#
發(fā)表于 2025-3-25 17:44:16 | 只看該作者
Classification and Data Analysis, a psychometric framework, offers a powerful toolset to address these limitations. This article proposes an exploration of IRT’s models and their potential to enhance educational assessment practices.
25#
發(fā)表于 2025-3-25 23:20:58 | 只看該作者
From Digital Ethics to Digital Community: An Islamic Principle on Strengthening Safety Strategy on o the topic. The finding reveals that the significant alignment of digital ethics in expanding the digital partnership skills has a core value to expand the digital community. This paper may contribute to give insights into developing the outstanding interplay of digital ethics as a safety strategy to achieve digital community and partnership.
26#
發(fā)表于 2025-3-26 04:12:45 | 只看該作者
27#
發(fā)表于 2025-3-26 08:09:22 | 只看該作者
28#
發(fā)表于 2025-3-26 10:48:27 | 只看該作者
https://doi.org/10.1007/978-1-4020-2640-9tion values are used only on the interval of the initial value, i.e. the interval where the “flip” effect was observed. The approach used for processing the measurement results makes it possible to significantly reduce the error in estimating the function of the measured process under conditions of a priori uncertainty. #COMESYSO1120.
29#
發(fā)表于 2025-3-26 13:33:52 | 只看該作者
30#
發(fā)表于 2025-3-26 17:15:18 | 只看該作者
Conference proceedings 2024 in driving innovation, optimizing processes, and solving complex challenges in the field. Targeted at industry professionals, researchers, and enthusiasts, this book serves as a comprehensive resource, providing actionable insights and showcasing transformative applications of data in engineering.
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