A combined computer vision and convolution neural network approach to classify turbid water samples in accordance with national water quality standards
Computer vision (CV) technologies have been applied extensively in turbid water assessment. However, the accuracies of CV to detect turbidity is limited by several factors such as inferior image quality and adoptation of traditional machine learning (MsL). Several past studies have shown that the ac...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2023
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| Online Access: | http://psasir.upm.edu.my/id/eprint/115734/ http://psasir.upm.edu.my/id/eprint/115734/1/115734%20%282%29.pdf |