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Indoor human activites recognition using audio signals based on support vector machines and convolutional neural networks
(University of Missouri--Columbia, 2018)
Indoor human activities recognition can be of great importance in our daily life, especially for surveillance and security purposes, such as informing elderly people affected in hearing capabilities about environmental ...
Deep neural networks for animal object detection and recognition in the wild
(University of Missouri--Columbia, 2019)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Camera traps are a popular tool to sample animal populations because they are noninvasive, detect a variety of species, and can record many thousands of animal detections per...