Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Tobias Schlage"'
Autor:
Brent Forrest, Tobias Schlage
Publikováno v:
SIGGRAPH ASIA Computer Animation Festival.
When a young boy starts spending too much time in the real world, it's up to his smartphone to help get his attention back where it belongs.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d2d7cf8e5ba970a410ab9237d18b730
https://doi.org/10.1145/3354919.3365067
https://doi.org/10.1145/3354919.3365067
Autor:
Tobias Schlager, Ashley V. Whillans
Publikováno v:
Humanities & Social Sciences Communications, Vol 9, Iss 1, Pp 1-11 (2022)
Abstract This article reveals a social perception that may contribute to the spread of the novel coronavirus (SARS-CoV-2). Across five studies—including two large-scale samples of Americans and Canadians (N = 3395)—we show that people consistentl
Externí odkaz:
https://doaj.org/article/c80a952ef7d649549fd7dbd4bdb70501
Autor:
Tobias Schlagenhauf, Tim Scheurenbrand
Publikováno v:
International Journal of Prognostics and Health Management, Vol 14, Iss 1 (2023)
A common challenge in real-world classification scenarios with sequentially appending target domain data is insufficient training datasets during the training phase. Therefore, conventional deep learning and transfer learning classifiers are not appl
Externí odkaz:
https://doaj.org/article/e0986e3adb064b95b59cb6eab46b4a07
Autor:
Tobias Schlagenhauf, Niklas Burghardt
Publikováno v:
SN Applied Sciences, Vol 3, Iss 12, Pp 1-13 (2021)
Abstract To realize autonomous production machines it is necessary that machines are able to automatically and autonomously predict their condition. Although many classical as well as Deep Learning based approaches have shown the ability to classify
Externí odkaz:
https://doaj.org/article/b66834143ba94587937f4fc8caaa4e52
Autor:
Tobias Schlagenhauf, Magnus Landwehr
Publikováno v:
Data in Brief, Vol 39, Iss , Pp 107643- (2021)
Using machine learning (ML) techniques in general and deep learning techniques in specific needs a certain amount of data often not available in large quantities in technical domains. The manual inspection of machine tool components and the manual en
Externí odkaz:
https://doaj.org/article/7b1030773b5d44b2a0fe5a444d56d944
Publikováno v:
Data, Vol 7, Iss 12, p 175 (2022)
Machine learning methods have widely been applied to detect anomalies in machine and cutting tool behavior during lathe or milling. However, detecting anomalies in the workpiece itself have not received the same attention by researchers. In this arti
Externí odkaz:
https://doaj.org/article/a9d7ecd82b094017befb5ef8f58e7cac