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- 1Age-dependant vulnerability
- 1Alternative prey
- 1Antipredatory behavior
- 1Bioacoustics
- 1Body Size
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Pre-processing spectrogram parameters improve the accuracy of bioacoustic classification using convolutional neural networks
Download2021-06-01
Knight, Elly C., Hernandez, Sergio Poo, Bayne, Erin, Bulitko, Vadim, Tucker, Benjamin V.
A variety of automated classification approaches have been developed to extract species detection information from large bioacoustic datasets. Convolutional neural networks (CNNs) are an image classification technique that can be operated on the spectrogram of an audio recording. Using CNNs for...
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2008
Wilson, W.F., Lingle, S., Feldman, A., Boyce, M.S.
Variation in the temporal pattern of vulnerability can provide important insights into predator-prey relationships and the evolution of antipredator behavior. We illustrate these points with a system that has coyotes (Canis latrans) as a predator and two species of congeneric deer (Odocoileus...
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2011-01-01
The critical domain size problem determines the size of the region of habitat needed to ensure population persistence. In this paper we address the critical domain size problem for seasonally fluctuating stream environments and determine how large a reach of suitable stream habitat is needed to...