h1

000995016 001__ 995016
000995016 005__ 20250610115612.0
000995016 0247_ $$2ISSN$$a2212-8271
000995016 0247_ $$2SCOPUS$$aSCOPUS:2-s2.0-85208593853
000995016 0247_ $$2datacite_doi$$a10.18154/RWTH-2024-09667
000995016 0247_ $$2doi$$a10.1016/j.procir.2024.08.376
000995016 037__ $$aRWTH-2024-09667
000995016 041__ $$aEnglish
000995016 082__ $$a670
000995016 1001_ $$0P:(DE-82)IDM06686$$aLi, Zongshuo$$b0$$eCorresponding author$$urwth
000995016 1112_ $$a17. CIRP Conference on Intelligent Computation in Manufacturing Engineering$$cIschia$$d2023-07-12 - 2023-07-14$$gCIRP ICME 2023$$wItaly
000995016 245__ $$aDeep Learning Approach for Enhanced Transferability and Learning Capacity in Tool Wear Estimation$$honline
000995016 260__ $$aAmsterdam [u.a.]$$bElsevier$$c2024
000995016 3367_ $$00$$2EndNote$$aJournal Article
000995016 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$xReview Article
000995016 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings
000995016 3367_ $$2BibTeX$$aARTICLE
000995016 3367_ $$2DRIVER$$aarticle
000995016 3367_ $$2DataCite$$aOutput Types/Journal article
000995016 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000995016 536__ $$0G:(GEPRIS)390621612$$aDFG project G:(GEPRIS)390621612 - EXC 2023: Internet of Production (IoP) (390621612)$$c390621612$$x0
000995016 536__ $$0G:(DE-82)X080067-WS-B2.I$$aWS-B2.I - Connected Job Shop (X080067-WS-B2.I)$$cX080067-WS-B2.I$$x1
000995016 588__ $$aDataset connected to CrossRef, Journals: publications.rwth-aachen.de
000995016 591__ $$aGermany
000995016 653_7 $$aZSPNTF100
000995016 7001_ $$0P:(DE-82)IDM02048$$aMeurer, Markus Joachim$$b1$$urwth
000995016 7001_ $$0P:(DE-82)IDM03332$$aBergs, Thomas$$b2$$urwth
000995016 770__ $$a17th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME ‘23) / Edited by Roberto Teti Prof.
000995016 773__ $$0PERI:(DE-600)2674706-6$$a10.1016/j.procir.2024.08.376$$p360-365$$tProcedia CIRP$$v126$$x2212-8271$$y2024
000995016 7870_ $$0RWTH-2023-12140$$iRelatedTo
000995016 8564_ $$uhttps://publications.rwth-aachen.de/record/995016/files/995016.pdf$$yOpenAccess
000995016 909CO $$ooai:publications.rwth-aachen.de:995016$$pVDB$$pdnbdelivery$$pdriver$$popen_access$$popenaire
000995016 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM06686$$aRWTH Aachen$$b0$$kRWTH
000995016 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM02048$$aRWTH Aachen$$b1$$kRWTH
000995016 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM03332$$aRWTH Aachen$$b2$$kRWTH
000995016 9141_ $$y2024
000995016 9151_ $$0StatID:(DE-HGF)0031$$2StatID$$aPeer reviewed article$$x0
000995016 915__ $$0LIC:(DE-HGF)CCBYNCND4$$2HGFVOC$$aCreative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0
000995016 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2023-08-31
000995016 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000995016 9201_ $$0I:(DE-82)417400_20240301$$k417400$$lManufacturing Technology Institute – MTI$$x0
000995016 9201_ $$0I:(DE-82)053200_20140620$$k053200$$lFraunhofer-Institut für Produktionstechnologie - IPT$$x1
000995016 9201_ $$0I:(DE-82)417410_20140620$$k417410$$lLehrstuhl für Fertigungstechnologie$$x2
000995016 961__ $$c2024-10-14T09:37:14.314319$$x2024-10-14T09:37:14.314319$$z2024-10-15
000995016 9801_ $$aFullTexts
000995016 980__ $$aI:(DE-82)053200_20140620
000995016 980__ $$aI:(DE-82)417400_20240301
000995016 980__ $$aI:(DE-82)417410_20140620
000995016 980__ $$aUNRESTRICTED
000995016 980__ $$aVDB
000995016 980__ $$acontrib
000995016 980__ $$ajournal