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Abundancia de anchoveta (Engraulis ringens) y otras especies pelágicas en el ecosistema marino peruano determinados por acústica en 2021
Pedro Ramiro Castillo, Daniel Grados, Luis La Cruz, Gustavo Cuadros, Carlos Valdez, Marissela Pozada, Germán Chacón and Rodolfo Cornejo Boletin Instituto del Mar del Perú 38(1) 131 (2023) https://doi.org/10.53554/boletin.v38i1.385
Insights from a multibeam echosounder to survey pelagic fish shoals and their spatio-temporal distribution in ultra-shallow waters
Assessing Target Strength, Abundance, and Biomass for Three Commercial Pelagic Fish Species along the East Coast of Peninsular Malaysia Using a Split-Beam Echo Sounder
Paolo Domenici, John F. Steffensen and Stefano Marras Philosophical Transactions of the Royal Society B: Biological Sciences 372(1727) 20160236 (2017) https://doi.org/10.1098/rstb.2016.0236
Investigating acoustic diversity of fish aggregations in coral reef ecosystems from multifrequency fishery sonar surveys
Analysis of backscatter properties and application of classification procedures for the identification of small pelagic fish species in the Central Mediterranean
Interannual fluctuations in spring pelagic ecosystem productivity in the Bay of Biscay (northeast Atlantic) measured by mesozooplankton aspartate transcarbamylase activity and relationships with anchovy population dynamics
Riwal Lefort, Ronan Fablet and Jean-Marc Boucher Studies in Computational Intelligence, New Advances in Intelligent Signal Processing 372 203 (2011) https://doi.org/10.1007/978-3-642-11739-8_10
A comparison of multi-class support vector machine and classification tree methods for hydroacoustic classification of fish-schools in Chile
Biological productivity enhancement over a continental shelf break (Bay of Biscay, NE Atlantic) evidenced by mesozooplankton aspartate transcarbamylase activity
Do river discharge rates drive the overall functioning of the pelagic ecosystem over the continental shelf of the Bay of Biscay (NE Atlantic)? A comparison of two contrasting years with special reference to anchovy (Engraulis encrasicolus L.) nutritional state
Acoustic identification of small pelagic fish species in Chile using support vector machines and neural networks
Hugo Robotham, Paul Bosch, Juan Carlos Gutiérrez-Estrada, Jorge Castillo and Inmaculada Pulido-Calvo Fisheries Research 102(1-2) 115 (2010) https://doi.org/10.1016/j.fishres.2009.10.015
Distribution and spatial structure of pelagic fish schools in relation to the nature of the seabed in the Sicily Straits (Central Mediterranean)
Marta D’Elia, Bernardo Patti, Attilio Sulli, Giorgio Tranchida, Angelo Bonanno, Gualtiero Basilone, Giovanni Giacalone, Ignazio Fontana, Simona Genovese, Cástor Guisande and Salvatore Mazzola Marine Ecology 30(s1) 151 (2009) https://doi.org/10.1111/j.1439-0485.2009.00328.x
Artificial neural networks for fish-species identification
Nutritional condition of anchovy Engraulis encrasicolus larvae in connection with mesozooplankton feeding catabolism in the southern Bay of Biscay, NE Atlantic
Determining how the pelagic ecosystem over the continental shelf of the Bay of Biscay (NE Atlantic) functions: An approach using mesozooplankton enzyme activities as descriptors
P Domenici, C Lefrançois and A Shingles Philosophical Transactions of the Royal Society B: Biological Sciences 362(1487) 2105 (2007) https://doi.org/10.1098/rstb.2007.2103
Sensitivity analysis and parameter selection for detecting aggregations in acoustic data
Perceptions of fish distribution, abundance and behaviour: Observations revealed by alternative survey strategies made by scientific and fishing vessels
Shoaling fish and red crab behaviour related to tidal variations in Bahía Magdalena, México
Carlos J. Robinson, Vicente Anislado and Patricia Ramos Deep Sea Research Part II: Topical Studies in Oceanography 51(6-9) 767 (2004) https://doi.org/10.1016/j.dsr2.2004.05.017
Sampling variance of species identification in fisheries acoustic surveys based on automated procedures associating acoustic images and trawl hauls
The Application of Image Processing Technology for the Analysis of Fish School Behavior: Evaluation of Fish School Behavior Response to the Approaching Vessel Using Scanning Sonar