Data-driven tool wear prediction in milling, based on a process-integrated single-sensor approach

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Data-driven tool wear prediction in milling, based on a process-integrated single-sensor approach

27 December 2024

Christian Friedrich

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Papers citing "Data-driven tool wear prediction in milling, based on a process-integrated single-sensor approach"

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Exploring the Synergies of Hybrid CNNs and ViTs Architectures for Computer Vision: A surveyEngineering applications of artificial intelligence (EAAI), 2024 Haruna Yunusa Shiyin Qin Abdulrahman Hamman Adama Chukkol Abdulganiyu Abdu Yusuf Isah Bello A. Lawan ViT 221 32 0 05 Feb 2024
Understanding Why ViT Trains Badly on Small Datasets: An Intuitive Perspective Haoran Zhu Boyuan Chen Carter Yang ViT 114 42 0 07 Feb 2023
A ConvNet for the 2020sComputer Vision and Pattern Recognition (CVPR), 2022 Zhuang Liu Hanzi Mao Chaozheng Wu Christoph Feichtenhofer Trevor Darrell Saining Xie ViT 462 6,640 0 10 Jan 2022
Swin Transformer: Hierarchical Vision Transformer using Shifted WindowsIEEE International Conference on Computer Vision (ICCV), 2021 Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 1.1K 27,285 0 25 Mar 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 1.2K 52,903 0 22 Oct 2020
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 3.4K 213,467 0 10 Dec 2015
Very Deep Convolutional Networks for Large-Scale Image RecognitionInternational Conference on Learning Representations (ICLR), 2014 Karen Simonyan Andrew Zisserman FAtt MDE 3.2K 107,226 0 04 Sep 2014