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An Efficient Neural Network Design Incorporating Autoencoders for the Classification of Bat Echolocation Sounds

Bats are widely distributed around the world, have adapted to many different environments and are highly sensitive to changes in their habitat, which makes them essential bioindicators of environmental changes. Passive acoustic monitoring over long durations, like months or years, accumulates large...

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Hoofdauteurs: Sercan Alipek, Moritz Maelzer, Yannick Paumen, Horst Schauer-Weisshahn, Jochen Moll
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2023-08-01
Reeks:Animals
Onderwerpen:
bat echolocation sound analysis
bat species classification
machine learning
convolutional neural network
autoencoder
clustering
Online toegang:https://www.mdpi.com/2076-2615/13/16/2560
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