Transforming crocodile traceability: Deep metric learning for identifying Siamese crocodiles-Reference-Cited by-同舟云学术

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Transforming crocodile traceability: Deep metric learning for identifying Siamese crocodiles

Published:2024-09 Issue: Volume:82 Page:102771
ISSN:1574-9541
Container-title:Ecological Informatics
language:en
Short-container-title:Ecological Informatics

Author:

Treeprapin Kriengsak,Kaewtip Kantapon,Singchat Worapong,Ariyaraphong Nattakan,Panthum Thitipong,Duengkae Prateep,Temsiripong Yosapong,Srikulnath Kornsorn,Trirongjitmoah Suchin

Funder

Ministry of Higher Education and Scientific Research, Republic of Sudan

Cape Higher Education Consortium

Publisher

Elsevier BV

Reference42 articles.

1. Oriented stochastic loss descent algorithm to train very deep multi-layer neural networks without vanishing gradients;Abuqaddom;Knowl.-Based Syst.,2021

2. Visual identification of individual Holstein-Friesian cattle via deep metric learning;Andrew;Comput. Electron. Agric.,2020

3. Should the identification guidelines for Siamese crocodiles be revised? differing post-occipital scute scale numbers show phenotypic variation does not result from hybridization with saltwater crocodiles;Ariyaraphong;Biology,2023

4. Scute patterns as an individual identification tool in an American crocodile (Crocodylus acutus) population on Coiba Island, Panama;Balaguera-Reina;J. Herpetol.,2017

5. An 11-digit identification system for individual Nile crocodiles using natural markings;Bouwman;Koedoe,2016

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