Development of a graph convolutional network-based surface quality monitoring approach
Many traditional quality monitoring approaches faced issues such as a huge number of uncontrollable parameters which leads to prediction inaccuracy. Other forms of modern monitoring system utilize Deep Learning (DL) models such Artificial Neural Networks (ANNs) and Convolutional Neural Networks (CNN...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/157257 |