Works matching IS 13862588 AND DT 2023 AND VI 57 AND IP 4
Results: 9
Application of deep learning in assessing the impact of flooding on the endangered freshwater fish Neolissochilus benasi (Cyprinidae) in a northern province of Vietnam.
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- Aquatic Ecology, 2023, v. 57, n. 4, p. 951, doi. 10.1007/s10452-023-10056-4
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- Article
A deep learning approach to detect and identify live freshwater macroinvertebrates.
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- Aquatic Ecology, 2023, v. 57, n. 4, p. 933, doi. 10.1007/s10452-023-10053-7
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- Article
MFLD-net: a lightweight deep learning network for fish morphometry using landmark detection.
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- Aquatic Ecology, 2023, v. 57, n. 4, p. 913, doi. 10.1007/s10452-023-10044-8
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- Article
Fish abundance estimation from multi-beam sonar by improved MCNN.
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- Aquatic Ecology, 2023, v. 57, n. 4, p. 895, doi. 10.1007/s10452-023-10007-z
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- Article
AcousticIA, a deep neural network for multi-species fish detection using multiple models of acoustic cameras.
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- Aquatic Ecology, 2023, v. 57, n. 4, p. 881, doi. 10.1007/s10452-023-10004-2
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- Article
Impact of abiotic factors and heavy metals in predicting the population decline of Near Threatened fish Notopterus chitala in natural habitat.
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- Aquatic Ecology, 2023, v. 57, n. 4, p. 863, doi. 10.1007/s10452-022-09995-1
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- Article
Taxonomic resolution of coral image classification with Convolutional Neural Network.
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- Aquatic Ecology, 2023, v. 57, n. 4, p. 845, doi. 10.1007/s10452-022-09988-0
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- Article
Out of the shadows: automatic fish detection from acoustic cameras.
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- Aquatic Ecology, 2023, v. 57, n. 4, p. 833, doi. 10.1007/s10452-022-09967-5
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- Article
Potential application of artificial neural networks for analyzing the occurrences of fish larvae and juveniles in an estuary in northern Vietnam.
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- Aquatic Ecology, 2023, v. 57, n. 4, p. 813, doi. 10.1007/s10452-022-09959-5
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- Article