Blar i NR vitenarkiv på tidsskrift "ICES Journal of Marine Science"
Viser treff 1-5 av 5
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Acoustic classification in multifrequency echosounder data using deep convolutional neural networks
(Journal article; Peer reviewed, 2020)Acoustic target classification is the process of assigning observed acoustic backscattering intensity to an acoustic category. A deep learning strategy for acoustic target classification using a convolutional network is ... -
Addressing class imbalance in deep learning for acoustic target classification
(Journal article; Peer reviewed, 2023)Acoustic surveys provide important data for fisheries management. During the surveys, ship-mounted echo sounders send acoustic signals into the water and measure the strength of the reflection, so-called backscatter. ... -
Predicting density-dependent somatic growth in Norwegian spring-spawning herring
(Journal article; Peer reviewed, 2022) -
Predicting density-dependent somatic growth in Norwegian spring-spawning herring
(Journal article; Peer reviewed, 2022) -
Semi-supervised target classification in multi-frequency echosounder data
(Journal article; Peer reviewed, 2021)Acoustic target classification in multi-frequency echosounder data is a major interest for the marine ecosystem and fishery management since it can potentially estimate the abundance or biomass of the species. A key problem ...