| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
AcousticIA, a deep neural network for multi-species fish detection using multiple models of acoustic cameras
|
Fernandez Garcia, Guglielmo
|
|
|
57 |
4 |
p. 881-893
|
artikel
|
| 2 |
A deep learning approach to detect and identify live freshwater macroinvertebrates
|
Jaballah, Sami
|
|
|
57 |
4 |
p. 933-949
|
artikel
|
| 3 |
Application of deep learning in assessing the impact of flooding on the endangered freshwater fish Neolissochilus benasi (Cyprinidae) in a northern province of Vietnam
|
Do, Anh Ngoc Thi
|
|
|
57 |
4 |
p. 951-967
|
artikel
|
| 4 |
Fish abundance estimation from multi-beam sonar by improved MCNN
|
Feng, Yihan
|
|
|
57 |
4 |
p. 895-911
|
artikel
|
| 5 |
Impact of abiotic factors and heavy metals in predicting the population decline of Near Threatened fish Notopterus chitala in natural habitat
|
Parab, Vaishnavi
|
|
|
57 |
4 |
p. 863-879
|
artikel
|
| 6 |
MFLD-net: a lightweight deep learning network for fish morphometry using landmark detection
|
Saleh, Alzayat
|
|
|
57 |
4 |
p. 913-931
|
artikel
|
| 7 |
Out of the shadows: automatic fish detection from acoustic cameras
|
Connolly, R. M.
|
|
|
57 |
4 |
p. 833-844
|
artikel
|
| 8 |
Potential application of artificial neural networks for analyzing the occurrences of fish larvae and juveniles in an estuary in northern Vietnam
|
Do, Anh Ngoc Thi
|
|
|
57 |
4 |
p. 813-831
|
artikel
|
| 9 |
Taxonomic resolution of coral image classification with Convolutional Neural Network
|
Reshma, B.
|
|
|
57 |
4 |
p. 845-861
|
artikel
|
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