A Comparative Study of Bird Species Classification Using K-Nearest Neighbors, Convolutional Neural Networks, and Support Vector Machines

Bird species classification is crucial for ecological monitoring and biodiversity conservation, providing valuable insights into ecosystem health. This study aims to compare the performance of three machine learning algorithms-K-Nearest Neighbors (KNN), Convolutional Neural Networks (CNN), and Suppo...

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Vydáno v:	Open Conference of Electrical, Electronic and Information Sciences (eStream) s. 1 - 6
Hlavní autoři:	Buslon Malarejes, John Stephen, Salvaleon, Vanesa Bea Man-On, Mission, Joseph Espina, Perin, Max Angelo Dapitilla
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 24.04.2025
Témata:	Accuracy Biodiversity Biodiversity Monitoring Biological system modeling Bird Species Classification Birds Classification algorithms Comparative Algorithm Analysis Convolutional neural networks Machine learning algorithms Monitoring Nearest neighbor methods Supervised Machine Learning Support vector machines
ISSN:	2690-8506
On-line přístup:	Získat plný text
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