all AI news
Wheel Impact Test by Deep Learning: Prediction of Location and Magnitude of Maximum Stress. (arXiv:2210.01126v1 [cs.LG])
Oct. 5, 2022, 1:11 a.m. | Seungyeon Shin, Ah-hyeon Jin, Soyoung Yoo, Sunghee Lee, ChangGon Kim, Sungpil Heo, Namwoo Kang
cs.LG updates on arXiv.org arxiv.org
The impact performance of the wheel during wheel development must be ensured
through a wheel impact test for vehicle safety. However, manufacturing and
testing a real wheel take a significant amount of time and money because
developing an optimal wheel design requires numerous iterative processes of
modifying the wheel design and verifying the safety performance. Accordingly,
the actual wheel impact test has been replaced by computer simulations, such as
Finite Element Analysis (FEA), but it still requires high computational costs …
More from arxiv.org / cs.LG updates on arXiv.org
Regularization by Texts for Latent Diffusion Inverse Solvers
1 day, 7 hours ago |
arxiv.org
When can transformers reason with abstract symbols?
1 day, 7 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Data Scientist (m/f/x/d)
@ Symanto Research GmbH & Co. KG | Spain, Germany
Data Engineer
@ Paxos | Remote - United States
Data Analytics Specialist
@ Media.Monks | Kuala Lumpur
Software Engineer III- Pyspark
@ JPMorgan Chase & Co. | India
Engineering Manager, Data Infrastructure
@ Dropbox | Remote - Canada
Senior AI NLP Engineer
@ Hyro | Tel Aviv-Yafo, Tel Aviv District, Israel