Fish abundance estimation from multi-beam sonar by improved MCNN
Authors (first, second and last of 6)
Collection
Special Issue: Applications of Machine Learning in Aquatic Ecology
Aquatic Ecology is pleased to invite authors to contribute research articles or opinions to a special issue titled Applications of machine learning in aquatic ecology. We welcome studies on any aquatic ecology question addressed with the use of machine learning techniques such as neural networks or Deep Learning algorithms.
Accepted papers will be published online as soon as they are finalized. All special issue papers will be published together in a single issue of Aquatic Ecology.
Editors
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Sebastien Villeger
Marine Biodiversity Lab CNRS University of Montpellier, France
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Rod Connolly
Coast and Marine Research Centre Griffith University, Australia
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Young-Seuk Park
Department of Biology Kyung Hee University Republic of Korea
Articles (6 in this collection)
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AcousticIA, a deep neural network for multi-species fish detection using multiple models of acoustic cameras
Authors (first, second and last of 5)
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Impact of abiotic factors and heavy metals in predicting the population decline of Near Threatened fish Notopterus chitala in natural habitat
Authors (first, second and last of 5)
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Taxonomic resolution of coral image classification with Convolutional Neural Network
Authors (first, second and last of 5)
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Out of the shadows: automatic fish detection from acoustic cameras
Authors (first, second and last of 7)
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