A feasibility Study of Detecting Chironomidae Larva in Water Treatment Filtration Processes using ResNet-based Image Recognition Deep Learning
There is a possibility that Chironomidae Larva may appear in sand and activated carbon filters during drinking water treatment. This study was conducted to determine whether the presence or absence of larva that may appear in filters through image data analysis. Image data were created for cases wit...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Korean Society of Environmental Engineers
2025-05-01
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| Series: | 대한환경공학회지 |
| Subjects: | |
| Online Access: | http://www.jksee.or.kr/upload/pdf/KSEE-2025-47-5-354.pdf |
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