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Computer vision system for detecting the loss of rail fastening nuts based on kernel two-dimensional principal component – two-dimensional principal component analysis and a support vector machine

Research article (Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit, 2015) · cited 18× · AI/ML
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Computer vision system for detecting the loss of rail fastening nuts based on kernel two-dimensional principal component – two-dimensional principal component analysis and a support vector machine

Summary

Computer vision system for detecting the loss of rail fastening nuts based on kernel two-dimensional principal component – two-dimensional principal component analysis and a support vector machine is a scholarly article[1].

Key Facts

  • Computer vision system for detecting the loss of rail fastening nuts based on kernel two-dimensional principal component – two-dimensional principal component analysis and a support vector machine's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Computer vision system for detecting the loss of rail fastening nuts based on kernel two-dimensional principal component – two-dimensional principal component analysis and a support vector machine. Retrieved May 24, 2026, from https://4ort.xyz/entity/computer-vision-system-for-detecting-the-loss-of-rail-fastening-nuts-based-on-kernel-two-dimensional-principal-component
MLA “Computer vision system for detecting the loss of rail fastening nuts based on kernel two-dimensional principal component – two-dimensional principal component analysis and a support vector machine.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/computer-vision-system-for-detecting-the-loss-of-rail-fastening-nuts-based-on-kernel-two-dimensional-principal-component.
BibTeX @misc{4ortxyz_computer-vision-system-for-detecting-the-loss-of-rail-fastening-nuts-based-on-kernel-two-dimensional-principal-component_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Computer vision system for detecting the loss of rail fastening nuts based on kernel two-dimensional principal component – two-dimensional principal component analysis and a support vector machine}}, year = {2026}, url = {https://4ort.xyz/entity/computer-vision-system-for-detecting-the-loss-of-rail-fastening-nuts-based-on-kernel-two-dimensional-principal-component}, note = {Accessed: 2026-05-24}}
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