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Optimizing video sampling for juvenile fish surveys: Using deep learning and evaluation of assumptions to produce critical fisheries parameters
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Optimizing video sampling for juvenile fish surveys: Using deep learning and evaluation of assumptions to produce critical fisheries parameters

Sheaves, Marcus ; Bradley, Michael ; Herrera, Cesar ; Mattone, Carlo ; Lennard, Caitlin ; Sheaves, Janine ; Konovalov, Dmitry A.

Fish and fisheries (Oxford, England), 2020-10, Vol.21 (6), p.1259-1276 [Periódico revisado por pares]

Oxford: Blackwell Publishing Ltd

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Objective Underwater Video Quality Assessment Model via Two-Stream Networks
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Objective Underwater Video Quality Assessment Model via Two-Stream Networks

SONG Wei, XIAO Yi, DU Yanling, ZHANG Minghua

Jisuanji kexue yu tansuo, 2023-02, Vol.17 (2), p.409-418 [Periódico revisado por pares]

Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press

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3
Bait increases the precision in count data from remote underwater video for most subtidal reef fish in the warm-temperate Agulhas bioregion
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Bait increases the precision in count data from remote underwater video for most subtidal reef fish in the warm-temperate Agulhas bioregion

Bernard, A. T. F. ; Götz, A.

Marine ecology. Progress series (Halstenbek), 2012-12, Vol.471, p.235-252 [Periódico revisado por pares]

Oldendorf: Inter-Research

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4
Unleashing the Potential of the 360° Baited Remote Underwater Video System (BRUVS): An Innovative Design for Complex Habitats
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Unleashing the Potential of the 360° Baited Remote Underwater Video System (BRUVS): An Innovative Design for Complex Habitats

Gomes, Marisa A. ; Alves, Catarina M. ; Faria, Fábio ; Neto, Regina ; Fernandes, Edgar ; Troncoso, Jesus S. ; Gomes, Pedro T.

Journal of marine science and engineering, 2024-08, Vol.12 (8), p.1346 [Periódico revisado por pares]

Basel: MDPI AG

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5
Adaptive rule-based colour component weight assignment strategy for underwater video enhancement
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Adaptive rule-based colour component weight assignment strategy for underwater video enhancement

Sonawane, Jitendra P. ; Patil, Mukesh D. ; Birajdar, Gajanan K.

The imaging science journal, 2023-07, Vol.ahead-of-print (ahead-of-print), p.1-22 [Periódico revisado por pares]

Taylor & Francis

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6
Effects of human footprint and biophysical factors on the body‐size structure of fished marine species
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Effects of human footprint and biophysical factors on the body‐size structure of fished marine species

Bosch, Nestor E. ; Monk, Jacquomo ; Goetze, Jordan ; Wilson, Shaun ; Babcock, Russell C. ; Barrett, Neville ; Clough, Jock ; Currey‐Randall, Leanne M. ; Fairclough, David V. ; Fisher, Rebecca ; Gibbons, Brooke A. ; Harasti, David ; Harvey, Euan S. ; Heupel, Michelle R. ; Hicks, Jamie L. ; Holmes, Thomas H. ; Huveneers, Charlie ; Ierodiaconou, Daniel ; Jordan, Alan ; Knott, Nathan A. ; Malcolm, Hamish A. ; McLean, Dianne ; Meekan, Mark ; Newman, Stephen J. ; Radford, Ben ; Rees, Matthew J. ; Saunders, Benjamin J. ; Speed, Conrad W. ; Travers, Michael J. ; Wakefield, Corey B. ; Wernberg, Thomas ; Langlois, Tim J.

Conservation biology, 2022-04, Vol.36 (2), p.e13807-n/a [Periódico revisado por pares]

United States: Blackwell Publishing Ltd

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7
A new observation of lake whitefish Coregonus clupeaformis spawning behaviour
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A new observation of lake whitefish Coregonus clupeaformis spawning behaviour

Muir, Andrew M. ; Drebert, Yvonne ; Lauzon, Ryan ; Melnick, Zach ; Ryther, Camilla M. ; Dunlop, Erin S.

Journal of Great Lakes research, 2024-08, p.102399, Article 102399 [Periódico revisado por pares]

Elsevier B.V

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8
Mystery pufferfish create elaborate circular nests at mesophotic depths in Australia
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Mystery pufferfish create elaborate circular nests at mesophotic depths in Australia

Bond, Todd ; Mueller, Robert J. ; Birt, Matthew J. ; Prince, Jane ; Miller, Karen ; Partridge, Julian C. ; McLean, Dianne L.

Journal of fish biology, 2020-11, Vol.97 (5), p.1401-1407 [Periódico revisado por pares]

Oxford, UK: Blackwell Publishing Ltd

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9
Automatic fish species classification in underwater videos: exploiting pre-trained deep neural network models to compensate for limited labelled data
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Automatic fish species classification in underwater videos: exploiting pre-trained deep neural network models to compensate for limited labelled data

Siddiqui, Shoaib Ahmed ; Salman, Ahmad ; Malik, Muhammad Imran ; Shafait, Faisal ; Mian, Ajmal ; Shortis, Mark R ; Harvey, Euan S Browman, Howard

ICES journal of marine science, 2018-01, Vol.75 (1), p.374-389 [Periódico revisado por pares]

Oxford University Press

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10
Combined use of eDNA metabarcoding and video surveillance for the assessment of fish biodiversity
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Combined use of eDNA metabarcoding and video surveillance for the assessment of fish biodiversity

Stat, Michael ; John, Jeffrey ; DiBattista, Joseph D. ; Newman, Stephen J. ; Bunce, Michael ; Harvey, Euan S.

Conservation biology, 2019-02, Vol.33 (1), p.196-205 [Periódico revisado por pares]

United States: Blackwell Publishing Ltd

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