Volume 57, Issue 4

Search all Aquatic Ecology articles

December 2023

Special Issue: Applications of Machine Learning in Aquatic Ecology

Issue Editors:

Sebastien Villeger,
Rod Connolly,
Young-Seuk PARK

9 articles in this issue

Potential application of artificial neural networks for analyzing the occurrences of fish larvae and juveniles in an estuary in northern Vietnam
Anh Ngoc Thi Do
Hau Duc Tran
OriginalPaper 24 March 2022 Pages: 813 - 831
Part of 1 collection:

Special Issue: Applications of Machine Learning in Aquatic Ecology
Out of the shadows: automatic fish detection from acoustic cameras
R. M. Connolly
K. I. Jinks
E. L. Jinks
OriginalPaper Open access 26 May 2022 Pages: 833 - 844
Part of 1 collection:

Special Issue: Applications of Machine Learning in Aquatic Ecology
Taxonomic resolution of coral image classification with Convolutional Neural Network
B. Reshma
B. Rahul
George Grinson
OriginalPaper 25 October 2022 Pages: 845 - 861
Part of 1 collection:

Special Issue: Applications of Machine Learning in Aquatic Ecology
Impact of abiotic factors and heavy metals in predicting the population decline of Near Threatened fish Notopterus chitala in natural habitat
Vaishnavi Parab
Jyoti Jagdish Prajapati
Joyita Mukherjee
OriginalPaper 24 December 2022 Pages: 863 - 879
Part of 1 collection:

Special Issue: Applications of Machine Learning in Aquatic Ecology
AcousticIA, a deep neural network for multi-species fish detection using multiple models of acoustic cameras
Guglielmo Fernandez Garcia
Thomas Corpetti
François Martignac
OriginalPaper 20 January 2023 Pages: 881 - 893
Part of 1 collection:

Special Issue: Applications of Machine Learning in Aquatic Ecology
Fish abundance estimation from multi-beam sonar by improved MCNN
Yihan Feng
Yaoguang Wei
Jia Wang
OriginalPaper 08 March 2023 Pages: 895 - 911
Part of 1 collection:

Special Issue: Applications of Machine Learning in Aquatic Ecology
MFLD-net: a lightweight deep learning network for fish morphometry using landmark detection
Alzayat Saleh
David Jones
Mostafa Rahimi Azghadi
OriginalPaper Open access 08 July 2023 Pages: 913 - 931
A deep learning approach to detect and identify live freshwater macroinvertebrates
Sami Jaballah
Guglielmo Fernandez Garcia
Olivier Dézerald
OriginalPaper 28 August 2023 Pages: 933 - 949
Application of deep learning in assessing the impact of flooding on the endangered freshwater fish Neolissochilus benasi (Cyprinidae) in a northern province of Vietnam
Anh Ngoc Thi Do
Hau Duc Tran
OriginalPaper 02 September 2023 Pages: 951 - 967

Volume 57, Issue 4

Potential application of artificial neural networks for analyzing the occurrences of fish larvae and juveniles in an estuary in northern Vietnam

Out of the shadows: automatic fish detection from acoustic cameras

Taxonomic resolution of coral image classification with Convolutional Neural Network

Impact of abiotic factors and heavy metals in predicting the population decline of Near Threatened fish Notopterus chitala in natural habitat

AcousticIA, a deep neural network for multi-species fish detection using multiple models of acoustic cameras

Fish abundance estimation from multi-beam sonar by improved MCNN

MFLD-net: a lightweight deep learning network for fish morphometry using landmark detection

A deep learning approach to detect and identify live freshwater macroinvertebrates

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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