Measurement uncertainty, data quality and data-driven modelling-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Measurement uncertainty, data quality and data-driven modelling

Published:2024-08-07 Issue:9 Volume:91 Page:417-418
ISSN:0171-8096
Container-title:tm - Technisches Messen
language:en
Short-container-title:

Author:

Sommer Klaus-Dieter¹,Schütze Andreas²^ORCID

Affiliation:

1. Technische Universität Ilmenau, Institut für Prozessmess- und Sensortechnik , Gustav-Kirchhoff-Str. 1, 98693 Ilmenau , Germany

2. Department of Systems Engineering, Lab for Measurement Technology , Saarland University , Postfach 15 11 50, 66041 Saarbrücken , Germany

Publisher

Walter de Gruyter GmbH

Link

https://www.degruyter.com/document/doi/10.1515/teme-2024-0088/pdf

Reference6 articles.

1. BIPM-JCGM, “Evaluation of measurement data – guide to the expression of uncertainty in measurement,” JCGM, vol. 100, 2008.

2. M. D. Wilkinson, et al.., “The FAIR Guiding Principles for scientific data management and stewardship,” Sci. Data, vol. 3, 2016, Art. no. 160018. https://doi.org/10.1038/sdata.2016.18.

3. E. Hüllermeier and W. Waegeman, “Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods,” Mach. Learn., vol. 110, pp. 457–506, 2021. https://doi.org/10.1007/s10994-021-05946-3.

4. K. D. Sommer, M. Heizmann, and A. Schütze, “Qualität smarter Mess- und Sensorsysteme,” tm – Tech. Mess., vol. 89, no. 4, pp. 211–213, 2022. https://doi.org/10.1515/teme-2022-0036.

5. K. D. Sommer, M. Heizmann, and A. Schütze, “Measurement systems and sensors with cognitive Features,” tm – Tech. Mess., vol. 90, no. 3, pp. 139–140, 2023. https://doi.org/10.1515/teme-2023-0004.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP