Acoustic fish species identification using deep learning and machine learning algorithms: A systematic review

A Yassir, SJ Andaloussi, O Ouchetto, K Mamza… - Fisheries …, 2023 - Elsevier
In fishery acoustics, surveys using sensor systems such as sonars and echosounders have
been widely considered to be accurate tools for acquiring fish species data, fish species …

[HTML][HTML] Autonomous marine environmental monitoring: Application in decommissioned oil fields

DOB Jones, AR Gates, VAI Huvenne, AB Phillips… - Science of the total …, 2019 - Elsevier
Abstract Hundreds of Oil & Gas Industry structures in the marine environment are
approaching decommissioning. In most areas decommissioning operations will need to be …

Standing stock of Antarctic krill (Euphausia superba Dana, 1850) (Euphausiacea) in the Southwest Atlantic sector of the Southern Ocean, 2018–19

BA Krafft, GJ Macaulay, G Skaret… - Journal of …, 2021 - academic.oup.com
Estimates of the distribution and density of Antarctic krill (Euphausia superba Dana, 1850)
were derived from a large-scale survey conducted during the austral summer in the …

Tidally forced lee waves drive turbulent mixing along the Arctic Ocean margins

I Fer, Z Koenig, IE Kozlov, M Ostrowski… - Geophysical …, 2020 - Wiley Online Library
Abstract In the Arctic Ocean, limited measurements indicate that the strongest mixing below
the atmospherically forced surface mixed layer occurs where tidal currents are strong …

Advancing Observation of Ocean Biogeochemistry, Biology, and Ecosystems With Cost-Effective in situ Sensing Technologies

ZA Wang, H Moustahfid, AV Mueller… - Frontiers in Marine …, 2019 - frontiersin.org
Advancing our understanding of ocean biogeochemistry, biology, and ecosystems relies on
the ability to make observations both in the ocean and at the critical boundaries between the …

Ecosystem-level effects of large-scale disturbance in kelp forests

KM Norderhaug, K Filbee-Dexter, C Freitas… - Marine Ecology …, 2020 - int-res.com
Understanding the effects of ecological disturbances in coastal habitats is crucial and timely
as these are anticipated to increase in intensity and frequency in the future due to increasing …

Under-ice observations by trawls and multi-frequency acoustics in the Central Arctic Ocean reveals abundance and composition of pelagic fauna

RB Ingvaldsen, E Eriksen, H Gjøsæter, A Engås… - Scientific Reports, 2023 - nature.com
The rapid ongoing changes in the Central Arctic Ocean call for baseline information on the
pelagic fauna. However, sampling for motile organisms which easily escape vertically towed …

Acoustic classification in multifrequency echosounder data using deep convolutional neural networks

O Brautaset, AU Waldeland, E Johnsen… - ICES Journal of …, 2020 - academic.oup.com
Acoustic target classification is the process of assigning observed acoustic backscattering
intensity to an acoustic category. A deep learning strategy for acoustic target classification …

A deep learning-based method to identify and count pelagic and mesopelagic fishes from trawl camera images

V Allken, S Rosen, NO Handegard… - ICES Journal of Marine …, 2021 - academic.oup.com
Fish counts and species information can be obtained from images taken within trawls, which
enables trawl surveys to operate without extracting fish from their habitat, yields distribution …

Killer whale movements on the Norwegian shelf are associated with herring density

EF Vogel, M Biuw, MA Blanchet, ID Jonsen… - Marine Ecology …, 2021 - int-res.com
Killer whales Orcinus orca have a cosmopolitan distribution with a broad diet ranging from
fish to marine mammals. In Norway, killer whales are regularly observed feeding on …