We propose FlowFrontNet, a deep learning approach to enhance the in-situ process perspective by learning a mapping from sensors to flow front “images” (using ...
Sep 14, 2020 · We propose FlowFrontNet, a deep learning approach to enhance the in-situ process perspective by learning a mapping from sensors to flow front “ ...
Sep 25, 2020 · We propose FlowFrontNet, a deep learning approach to enhance the in-situ process perspective by learning a mapping from sensors to flow front " ...
FlowFrontNet: Improving Carbon Composite Manufacturing with CNNs
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Mar 2, 2022 · Metadaten. Author: Simon StieberORCiD, Niklas SchröterORCiD, Alexander SchiendorferORCiD, Alwin HoffmannORCiD, Wolfgang ReifORCiD.
FlowFrontNet: Improving Carbon Composite Manufacturing with CNNs. https://doi.org/10.1007/978-3-030-67667-4_25 ·. Journal: Machine Learning and Knowledge ...
ECML-PKDD is the premier European machine learning and data mining conference and builds upon over 18 years of successful events and conferences ...
We propose FlowFrontNet, a deep learning approach to enhance the in-situ process perspective by learning a mapping from sensors to flow front “images” (using ...
FlowFrontNet: improving carbon composite manufacturing with CNNs. S Stieber, N Schröter, A Schiendorfer, A Hoffmann, W Reif. Joint European Conference on ...
Oct 21, 2024 · FlowFrontNet: Improving Carbon Composite Manufacturing with CNNs. ECML/PKDD (4) 2020: 411-426. [+][–]. Coauthor network. maximize. Note that ...
Towards Real-time Process Monitoring and Machine Learning for Manufacturing Composite ... FlowFrontNet: Improving Carbon Composite Manufacturing with CNNs · S.