Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Elstner, Jannes"'
When it comes to the optimization of CAD models in the automation domain, neural networks currently play only a minor role. Optimizing abstract features such as automation capability is challenging, since they can be very difficult to simulate, are t
Externí odkaz:
http://arxiv.org/abs/2303.12739
In the domain of computer vision, deep residual neural networks like EfficientNet have set new standards in terms of robustness and accuracy. One key problem underlying the training of deep neural networks is the immanent lack of a sufficient amount
Externí odkaz:
http://arxiv.org/abs/2202.10099
Autor:
Schönhof, Raoul, Werner, Artem, Elstner, Jannes, Zopcsak, Boldizsar, Awad, Ramez, Huber, Marco
Publikováno v:
2021, Procedia CIRP 100(7):331-336
Not only automation of manufacturing processes but also automation of automation procedures itself become increasingly relevant to automation research. In this context, automated capability assessment, mainly leveraged by deep learning systems driven
Externí odkaz:
http://arxiv.org/abs/2201.12107
Autor:
Schönhof, Raoul, Werner, Artem, Elstner, Jannes, Zopcsak, Boldizsar, Awad, Ramez, Huber, Marco
Publikováno v:
In Procedia CIRP 2021 100:331-336
