PermeabilityNets: Comparing Neural Network Architectures on a Sequence-to-Instance Task in CFRP Manufacturing

Simon Stieber, Niklas Schroter, Ewald Fauster, Alexander Schiendorfer, Wolfgang Reif

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationProceedings - 20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021
EditorsM. Arif Wani, Ishwar K. Sethi, Weisong Shi, Guangzhi Qu, Daniela Stan Raicu, Ruoming Jin
PublisherInstitute of Electrical and Electronics Engineers
Pages694-697
Number of pages4
ISBN (Electronic)9781665443371
DOIs
Publication statusPublished - 2021
Event20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021 - Virtual, Online, United States
Duration: 13 Dec 202116 Dec 2021

Publication series

NameProceedings - 20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021

Conference

Conference20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021
Country/TerritoryUnited States
CityVirtual, Online
Period13/12/2116/12/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

  • Architecture comparison
  • CFRP
  • Digital Twin
  • Industry 4.0
  • LCM
  • Sequence-to-Instance Learning

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