找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

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

[复制链接]
楼主: 街道
发表于 2025-3-25 04:22:21 | 显示全部楼层
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.
发表于 2025-3-25 10:28:13 | 显示全部楼层
发表于 2025-3-25 11:52:49 | 显示全部楼层
发表于 2025-3-25 17:44:16 | 显示全部楼层
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.
发表于 2025-3-25 23:20:58 | 显示全部楼层
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.
发表于 2025-3-26 04:12:45 | 显示全部楼层
发表于 2025-3-26 08:09:22 | 显示全部楼层
发表于 2025-3-26 10:48:27 | 显示全部楼层
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.
发表于 2025-3-26 13:33:52 | 显示全部楼层
发表于 2025-3-26 17:15:18 | 显示全部楼层
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.
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-26 00:57
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表