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Filtering by: Committee Member Jones, Julia Degree Level Bachelor's Language English [eng]

A General Framework for Predicting the Geospatial Distribution of Botanical Species

Creator:

Chick, Jesse S.

Abstract:

The local presence or absence of individual botanical species can be predicted with high accuracy by a simple feed-forward neural network, using only local climate data to make inference. This study proposes a framework for learning these predictive models, demonstrates highly accurate predictions for species with a sufficiently large area...

Resource Type:

Honors College Thesis
Detection and Segmentation of Bird Song in Noisy Environments

Creator:

Neal, Lawrence W.

Abstract:

Recent work in machine learning concerns the detection and identification of bird species from audio recordings of their vocalizations. Such analysis can yield valuable ecological information concerning the activity and distribution of species in the wild. Current species-identification methods require individual syllables of bird audio as input, but field-collected audio...

Resource Type:

Honors College Thesis