姑姑在炫耀 发表于 2025-3-23 11:05:32

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MUTED 发表于 2025-3-23 15:10:25

Henrike Stephani,Thomas Weibel,Ronald Rösch,Ali Moghiseh

挑剔为人 发表于 2025-3-23 20:06:21

Alex Sarishvili,Fabian Menzel,Benjamin Adrian,Julia Burr

frenzy 发表于 2025-3-24 01:58:21

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内行 发表于 2025-3-24 05:08:17

Statistical Machine Learning for Engineering with Applications

避开 发表于 2025-3-24 06:55:57

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幸福愉悦感 发表于 2025-3-24 12:51:04

Machine Learning for Inline Surface Inspection Systems: Challenges, Approaches, and Application Exan. Therefore, respective parties must be made aware of this issue on the one hand; on the other hand, annotation and reannotation must be easy and useable by non-experts. Related is the issue of parametrization and traceability. Both are not inherent to neural networks but must be provided to some l

miniature 发表于 2025-3-24 16:01:36

Gaussian Process Regression for the Prediction of Cable Bundle Characteristics,n bundles. We outline our approach to solve this nonlinear identification task with Gaussian Process Regression. Besides a short introduction to the industrial application area, we demonstrate and illustrate the applicability and prediction quality of Gaussian Process Regression for this task.

向外才掩饰 发表于 2025-3-24 20:42:58

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激怒某人 发表于 2025-3-25 00:19:54

Cracks in Concrete,oads with cars but have a hard time deciding whether a thin and dark structure seen in a 2D slice continues in the next one. Training networks by synthetic, simulated images is an elegant way out, yet bears its own challenges. In this contribution, we describe how to generate semisynthetic image dat
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查看完整版本: Titlebook: Statistical Machine Learning for Engineering with Applications; Jürgen Franke,Anita Schöbel Textbook 2024 The Editor(s) (if applicable) an