Gast ::
| 001 | 995016 | ||
| 005 | 20250610115612.0 | ||
| 024 | 7 | _ | |2 ISSN |a 2212-8271 |
| 024 | 7 | _ | |2 SCOPUS |a SCOPUS:2-s2.0-85208593853 |
| 024 | 7 | _ | |2 datacite_doi |a 10.18154/RWTH-2024-09667 |
| 024 | 7 | _ | |2 doi |a 10.1016/j.procir.2024.08.376 |
| 037 | _ | _ | |a RWTH-2024-09667 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 670 |
| 100 | 1 | _ | |0 P:(DE-82)IDM06686 |a Li, Zongshuo |b 0 |e Corresponding author |u rwth |
| 111 | 2 | _ | |a 17. CIRP Conference on Intelligent Computation in Manufacturing Engineering |c Ischia |d 2023-07-12 - 2023-07-14 |g CIRP ICME 2023 |w Italy |
| 245 | _ | _ | |a Deep Learning Approach for Enhanced Transferability and Learning Capacity in Tool Wear Estimation |h online |
| 260 | _ | _ | |a Amsterdam [u.a.] |b Elsevier |c 2024 |
| 336 | 7 | _ | |0 0 |2 EndNote |a Journal Article |
| 336 | 7 | _ | |0 PUB:(DE-HGF)16 |2 PUB:(DE-HGF) |a Journal Article |b journal |m journal |x Review Article |
| 336 | 7 | _ | |0 PUB:(DE-HGF)8 |2 PUB:(DE-HGF) |a Contribution to a conference proceedings |
| 336 | 7 | _ | |2 BibTeX |a ARTICLE |
| 336 | 7 | _ | |2 DRIVER |a article |
| 336 | 7 | _ | |2 DataCite |a Output Types/Journal article |
| 336 | 7 | _ | |2 ORCID |a JOURNAL_ARTICLE |
| 536 | _ | _ | |0 G:(GEPRIS)390621612 |a DFG project G:(GEPRIS)390621612 - EXC 2023: Internet of Production (IoP) (390621612) |c 390621612 |x 0 |
| 536 | _ | _ | |0 G:(DE-82)X080067-WS-B2.I |a WS-B2.I - Connected Job Shop (X080067-WS-B2.I) |c X080067-WS-B2.I |x 1 |
| 588 | _ | _ | |a Dataset connected to CrossRef, Journals: publications.rwth-aachen.de |
| 591 | _ | _ | |a Germany |
| 653 | _ | 7 | |a ZSPNTF100 |
| 700 | 1 | _ | |0 P:(DE-82)IDM02048 |a Meurer, Markus Joachim |b 1 |u rwth |
| 700 | 1 | _ | |0 P:(DE-82)IDM03332 |a Bergs, Thomas |b 2 |u rwth |
| 770 | _ | _ | |a 17th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME ‘23) / Edited by Roberto Teti Prof. |
| 773 | _ | _ | |0 PERI:(DE-600)2674706-6 |a 10.1016/j.procir.2024.08.376 |p 360-365 |t Procedia CIRP |v 126 |x 2212-8271 |y 2024 |
| 787 | 0 | _ | |0 RWTH-2023-12140 |i RelatedTo |
| 856 | 4 | _ | |u https://publications.rwth-aachen.de/record/995016/files/995016.pdf |y OpenAccess |
| 909 | C | O | |o oai:publications.rwth-aachen.de:995016 |p openaire |p open_access |p driver |p dnbdelivery |p VDB |
| 910 | 1 | _ | |0 I:(DE-588b)36225-6 |6 P:(DE-82)IDM06686 |a RWTH Aachen |b 0 |k RWTH |
| 910 | 1 | _ | |0 I:(DE-588b)36225-6 |6 P:(DE-82)IDM02048 |a RWTH Aachen |b 1 |k RWTH |
| 910 | 1 | _ | |0 I:(DE-588b)36225-6 |6 P:(DE-82)IDM03332 |a RWTH Aachen |b 2 |k RWTH |
| 914 | 1 | _ | |y 2024 |
| 915 | 1 | _ | |0 StatID:(DE-HGF)0031 |2 StatID |a Peer reviewed article |x 0 |
| 915 | _ | _ | |0 LIC:(DE-HGF)CCBYNCND4 |2 HGFVOC |a Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0 |
| 915 | _ | _ | |0 StatID:(DE-HGF)0300 |2 StatID |a DBCoverage |b Medline |d 2023-08-31 |
| 915 | _ | _ | |0 StatID:(DE-HGF)0510 |2 StatID |a OpenAccess |
| 920 | 1 | _ | |0 I:(DE-82)417400_20240301 |k 417400 |l Manufacturing Technology Institute – MTI |x 0 |
| 920 | 1 | _ | |0 I:(DE-82)053200_20140620 |k 053200 |l Fraunhofer-Institut für Produktionstechnologie - IPT |x 1 |
| 920 | 1 | _ | |0 I:(DE-82)417410_20140620 |k 417410 |l Lehrstuhl für Fertigungstechnologie |x 2 |
| 980 | 1 | _ | |a FullTexts |
| 980 | _ | _ | |a I:(DE-82)053200_20140620 |
| 980 | _ | _ | |a I:(DE-82)417400_20240301 |
| 980 | _ | _ | |a I:(DE-82)417410_20140620 |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a contrib |
| 980 | _ | _ | |a journal |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|