Machine Learning Applications for Fisheries—At Scales from Genomics to Ecosystems
B Kühn, A Cayetano, JI Fincham… - Reviews in Fisheries …, 2024 - Taylor & Francis
Fisheries science aims to understand and manage marine natural resources. It relies on
resource-intensive sampling and data analysis. Within this context, the emergence of …
resource-intensive sampling and data analysis. Within this context, the emergence of …
Investigation of some machine learning algorithms in fish age classification
Marine and freshwater scientists use fish scales, vertebrae, otoliths and length-weights
values to estimate fish age because reliable fish age estimation plays a very important role …
values to estimate fish age because reliable fish age estimation plays a very important role …
Effect of polynomial, radial basis, and Pearson VII function kernels in support vector machine algorithm for classification of crayfish
Freshwater crayfish are one of the most important aquatic organisms that play a pivotal role
in the aquatic food chain as well as serving as bioindicators for the aquatic ecosystem health …
in the aquatic food chain as well as serving as bioindicators for the aquatic ecosystem health …
[PDF][PDF] Comparative growth models of big-scale sand smelt (Atherina boyeri Risso, 1810) sampled from Hirfanll Dam Lake, Klrsehir, Ankara, Turkey
S Benzer - Computational Ecology and Software, 2017 - iaees.org
In this current publication the growth characteristics of big-scale sand smelt data were
compared for population dynamics within artificial neural networks and length-weight …
compared for population dynamics within artificial neural networks and length-weight …
[PDF][PDF] Artificial Neural Networks as new alternative method to estimating some population parameters of Tigris loach (Oxynoemacheilus tigris (Heckel, 1843)) in the …
In this study, a new method (Artificial Neural Networks) to estimating some population
parameters of Tigris loach (% &"!(Heckel, 1843)) collected between 2014 and 2015 in 14 …
parameters of Tigris loach (% &"!(Heckel, 1843)) collected between 2014 and 2015 in 14 …
Artificial Neural Networks approach in morphometric analysis of crayfish (Astacus leptodactylus) in Hirfanlı Dam Lake
This study aims to compare the growth estimation of narrow-clawed crayfish (Astacus
leptodactylus Eschscholtz, 1823) obtained from two methods which are length–weight …
leptodactylus Eschscholtz, 1823) obtained from two methods which are length–weight …
[PDF][PDF] Alternative growth models in fisheries: Artificial Neural Networks
In this study growth of Atherina boyeri, collected from Süreyyabey Dam Lake, was
determination by Artificial Neural Networks (ANNs) along with study of length weight …
determination by Artificial Neural Networks (ANNs) along with study of length weight …
[PDF][PDF] Evaluation of a new computer method (ANNs) and traditional methods (LWRS and VBGF) in the calculation of some growth parameters of two cyprinid species
ABSTRACT Artificial Neural Networks (ANNs) are a very reliable computer program used in
many areas such as growth parameters. The aim of this study to compare the growth …
many areas such as growth parameters. The aim of this study to compare the growth …
[PDF][PDF] New perspectives for predicting growth properties of crayfish (Astacus leptodactylus Eschscholtz, 1823) in Uluabat Lake
This study aims to compare the growth estimation result of the two methods which are
Length-Weight Relations and Artificial Neural Networks from Uluabat Lake regarding narrow …
Length-Weight Relations and Artificial Neural Networks from Uluabat Lake regarding narrow …
Growth and length–weight relationships of Pseudorasbora parva (Temminck & Schlegel, 1846) in Hirfanlı Dam Lake: Comparison with traditional and artificial neural …
The present study was carried out to assess the population structure and growth with length
weight relations, von Bertalanffy equations and artificial neural networks (ANNs) of topmouth …
weight relations, von Bertalanffy equations and artificial neural networks (ANNs) of topmouth …