Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Marco Becker"'
Publikováno v:
Journal of Skin Cancer, Vol 2012 (2012)
Basal cell carcinoma (BCC) is the most common human tumor. Mutations in the hedgehog (HH) receptor Patched (PTCH) are the main cause of BCC. Due to their high and increasing incidence, BCC are becoming all the more important for the health care syste
Externí odkaz:
https://doaj.org/article/8487b2bf570345a997329d2cfaa258cc
Autor:
Alexander Beckers, Tim Hommen, Marco Becker, Mia J.K. Kornely, Eike Reuter, Gonsalves Grünert, Lucia Ortjohann, Jannis Jacob, Philipp Niemietz, Sebastian Barth, Thomas Bergs
Publikováno v:
CIRP journal of manufacturing science and technology 39, 387-400 (2022). doi:10.1016/j.cirpj.2022.09.001
CIRP journal of manufacturing science and technology 39, 387-400 (2022). doi:10.1016/j.cirpj.2022.09.001
Published by Elsevier, Amsterdam [u.a.]
Published by Elsevier, Amsterdam [u.a.]
Publikováno v:
Production Engineering. 17:21-36
Wear is one of the decisive factors for the economic efficiency of sheet metal forming processes. Thereby, progressive wear phenome lead on the one hand to a poor workpiece quality and on the other hand to tool failure resulting in high machine downt
Publikováno v:
Journal of Intelligent Manufacturing.
The wear state of the punch in sheet-metal stamping processes cannot be directly observed, necessitating the use of indirect methods to infer its condition. Past research approaches utilized a plethora of machine learning models to infer the punch we
Autor:
Marco Becker, Matthias Brockmann, Philipp Niemietz, Daniel Trauth, Thomas Bergs, Christian Brecher
Publikováno v:
The Monetization of Technical Data ISBN: 9783662665084
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3abbb8bb81f0f5be6ef6e243d6f80b51
https://doi.org/10.1007/978-3-662-66509-1_15
https://doi.org/10.1007/978-3-662-66509-1_15
Autor:
Ali Rajaei, Marco Becker, Yuanbin Deng, Oliver Schenk, Soheil Rooein, Patricia de Oliveira Löhrer, Niklas Reinisch, Tarik Viehmann, Mustapha Abouridouane, Mauricio Fernández, Christoph Broeckmann, Thomas Bergs, Gerhard Hirt, Gerhard Lakemeyer, Georg Schmitz
Publikováno v:
Internet of Production ISBN: 9783030980627
In this chapter, the focus lies on a predictive description of the material response to the thermomechanical loads within different process steps by means of physical and data-driven models. The modeling approaches are demonstrated in examples of inn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0715b7a4ae81292f55d0e4333ff80d5e
https://doi.org/10.1007/978-3-030-98062-7_23-1
https://doi.org/10.1007/978-3-030-98062-7_23-1
Publikováno v:
Zeitschrift für wirtschaftlichen Fabrikbetrieb. 116:352-357
In diesem Beitrag wird das KDT-EA (Knowledge Discovery in Time Series for Engineering Applications) vorgestellt, eine Verbesserung des bestehenden KDD-Prozesses, um speziell die Analyse von aufgezeichneten Zeitreihen in Produktionsprozessen zu adress
Publikováno v:
Journal of Manufacturing Science and Engineering. 144
Sensorial acquired process data combined with machine learning (ML) algorithms are fundamental for mastering the challenges of modern production systems, however, their potential is rarely exploited in real-world manufacturing applications. In this c
Publikováno v:
Zeitschrift für wirtschaftlichen Fabrikbetrieb. 116:133-138
In diesem Beitrag wird ein Frontloading-Ansatz zur Steigerung der Energieeffizenz in der umformtechnischen Prozessentwicklung methodisch und praktisch aufgezeigt. Besonders die fruhen Phasen gehen mit hohen Freiheitsgraden in der Gestaltung einher un
Autor:
Marco Becker, Peter Groche
Publikováno v:
The Minerals, Metals & Materials Series ISBN: 9783031062117
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ff65a61f3ce21d13b0bb6091fdec448
https://doi.org/10.1007/978-3-031-06212-4_63
https://doi.org/10.1007/978-3-031-06212-4_63