Gast ::
Deep Learning Approach for Enhanced Transferability and Learning Capacity in Tool Wear Estimation
; ;
2023
Online
URL: http://publications.rwth-aachen.de/record/975629/files/975629.pdf
Projekte
- DFG project 390621612 - EXC 2023: Internet of Production (IoP) (390621612) (390621612)
- WS-B2.I - Connected Job Shop (X080067-WS-B2.I) (X080067-WS-B2.I)
Inhaltliche Beschreibung (Schlagwörter)
ZSPNTF100 (frei)
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Dokumenttyp
Conference Presentation
Format
data medium
Herkunft
Public Reference
Sprache
English
Interne Identnummern
RWTH-2023-12140
Datensatz-ID: 975629
Related:
Journal Article (Review Article)/Contribution to a conference proceedings
Deep Learning Approach for Enhanced Transferability and Learning Capacity in Tool Wear Estimation
17. CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2023, IschiaIschia, Italy, 12 Jul 2023 - 14 Jul 2023
Procedia CIRP 126, 360-365 (2024) [10.1016/j.procir.2024.08.376] special issue: "17th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME ‘23) / Edited by Roberto Teti Prof."
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Journal Article (Review Article)/Contribution to a book/Contribution to a conference proceedings
Deep Learning Approach for Enhanced Transferability and Learning Capacity in Tool Wear Estimation
17. CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2023, IschiaIschia, Italy, 12 Jul 2023 - 14 Jul 2023
Procedia CIRP 126, 360-365 (2024) special issue: "17th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME ‘23) / Edited by Roberto Teti Prof." (9798331306984)
BibTeX |
EndNote:
XML,
Text |
RIS
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