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- 4Bayne, Erin
- 3Campbell, Kimberley A.
- 2Leston, Lionel
- 2Mitchell, Alaina
- 2Mohamed, Hadeel
- 17Graduate and Postdoctoral Studies (GPS), Faculty of
- 17Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
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- 7WISEST Summer Research Program/WISEST Research Posters
- 3Psychology, Department of
- 3Psychology, Department of/Journal Articles (Psychology)
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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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Investigating the value of incorporating behavioural measures in a discriminant function developed for sex assignment in black-capped chickadees (Poecile atricapillus)
DownloadFall 2021
Black-capped chickadees (Poecile atricapillus) are a sexually monomorphic species that typically require molecular assays or observation of sex-specific behaviours in the breeding season for accurate sex assignment. We developed a discriminant function in a central Albertan chickadee population...
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Spring 2020
Animals must assess the risk of mortality due to starvation or predation when making foraging decisions. This decision-making can be guided by cues from the environment, conspecifics, heterospecifics, or by predators themselves. Information theory predicts that high certainty cues should be...
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Spring 2020
Accurate assessment of how animals distribute themselves across the landscape is an essential component of ecological research. Ecologists often conduct surveys to subsample a representative portion of an area of interest and extrapolate their findings to a larger region. Acoustic surveys are...
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Predictive Mapping of Yellow Rail (Coturnicops noveboracensis) Density and Abundance in the Western Boreal Forest via Ground and Satellite Remote Sensors
DownloadFall 2019
The Yellow Rail (Coturnicops noveboracensis) is a small, secretive, wetland bird, which is apparently rare throughout most of its range. Almost nothing is known about its abundance and density in the wetlands of the western boreal forest. Emerging technologies have enabled us to effectively...
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A comparison of passive monitoring methods for gray wolves (Canis lupus) in Alberta, Canada
DownloadSpring 2019
Remote camera traps are often applied to large mammal conservation and management programs because they are cost-effective, allow for repeat surveys, and can be deployed for long time periods. Additionally, statistical advancements in calculating population metrics, such as density, from camera...