Function+Data Flow: A Framework to Specify Machine Learning Pipelines for Digital Twinning
Author:
Affiliation:
1. Nanyang Technological University, Singapore, Singapore / CNRS@CREATE, Singapore, Singapore
2. IPAL, Singapore, Singapore / CNRS, CNRS@CREATE, Singapore, Singapore
3. Nanyang Technological University, Singapore, Singapore
Funder
National Research Foundation Singapore
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3664646.3664759
Reference36 articles.
1. Sajid Alam Nok Lam Chan Laura Couto Yetunde Dada Ivan Danov Deepyaman Datta Tynan DeBold Jitendra Gundaniya Yolan Honoré-Rougé Stephanie Kaiser Rashida Kanchwala Ankita Katiyar Ravi Kumar Pilla Huong Nguyen Nero Okwa Juan Luis Cano Rodríguez Joel Schwarzmann Dmitry Sorokin Merel Theisen Marcin Zabłocki and Simon Brugman. 2024. Kedro. https://github.com/kedro-org/kedro
2. Complexities of Capturing Large Plastic Deformations Using Digital Image Correlation: A Test Case on Full-Scale Pipe Specimens
3. 2024. Ansys Twin Builder | Create and Deploy Digital Twin Models. https://www.ansys.com/products/digital-twin/ansys-twin-builder
4. 2024. Apache Airflow. https://airflow.apache.org/
5. To type or not to type?
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
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3