Computational Breakthroughs in Aquatic Taxonomy: The Role of Deep Learning and DNA Barcoding

Computational Breakthroughs in Aquatic Taxonomy: The Role of Deep Learning and DNA Barcoding

Aquatic ecosystems are crucial in maintaining environmental equilibrium and sustaining human well-being. However, the traditional manual methods used in hydrobiological research have limitations in providing a far-reaching understanding of these intricate ecosystems. Data science, machine learning,...

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Bibliographic Details
Main Authors: Nadiia Kasianchuk, Sofiia Harkava, Sofiia Onishchenko, Olesia Solodka, Daria Shyshko, Eduard Siemens, Halina Falfushynska, Taras Ustyianovych
Format: Article
Language:English
Published: Anhalt University of Applied Sciences 2024-03-01
Series:Proceedings of the International Conference on Applied Innovations in IT
Subjects:
aquatic ecosystems
deep learning
taxonomic identification
metagenomic sequences
environment modeling
machine learning
Online Access:https://icaiit.org/paper.php?paper=12th_ICAIIT_1/2_3

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