A deep learning-based biomonitoring system for detecting water pollution using Caenorhabditis elegans swimming behaviors (English)
- New search for: Kang, Seung-Ho
- New search for: Jeong, In-Seon
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- New search for: Lim, Hyeong-Seok
In:
Ecological Informatics
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80
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2024
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ISSN:
- Article (Journal) / Electronic Resource
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Title:A deep learning-based biomonitoring system for detecting water pollution using Caenorhabditis elegans swimming behaviors
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Publication date:2024-01-14
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Source:
Table of contents – Volume 80
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
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Marine zoobenthos recognition algorithm based on improved lightweight YOLOv5Zhang, Lijun / Fan, Jiawen / Qiu, Yi / Jiang, Zhe / Hu, Qingsong / Xing, Bowen / Xu, Jingxiang et al. | 2024
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Effects of precipitation changes on fractional vegetation cover in the Jinghe River basin from 1998 to 2019Liu, Yu / Huang, Tingting / Qiu, Zhiyuan / Guan, Zilong / Ma, Xiaoyi et al. | 2024
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Automatic bioacoustics noise reduction method based on a deep feature loss networkZhang, Chengyun / He, Kaiying / Gao, Xinghui / Guo, Yingying et al. | 2024
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