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Skip to Search Results- 1Auger-Méthé, Marie
- 1Codling, Edward A.
- 1Derocher, Andrew E.
- 1Emam, Seyedeh Sepideh
- 1Lewis, Mark A.
- 1Mathieu Chalifour
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Comparison of Sleep State Classification Performance Using Random Forests, Hidden Markov Models, and Non-homogeneous Hidden Markov Models
DownloadFall 2020
In this work, the CF00N polysomnograph data of 75 patients, with ranging severeties of Obstructive Sleep Apnea (OSA), is presented and analyzed in terms of sleep state classification. The pre-processing and cleaning of each polysomnograph recording were performed in R (R Core Team, 2019) using...
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Differentiating the Lévy walk from a composite correlated random walk - Code
2015
Lewis, Mark A., Auger-Méthé, Marie, Plank, Michael J., Codling, Edward A., Derocher, Andrew E.
Source code for an R package that can be used to simulate and apply various search strategy models to movement data. This is the code used in the manuscript entitled: Differentiating the Lévy walk from a composite correlated random walk. See https://github.com/MarieAugerMethe/CCRWvsLW for any...
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Spring 2018
Using models in order to formalize and abstract the view of a system is a popular approach in different research areas. Deriving behavioral models from software executions is a common approach used in supporting a broad range of software development, maintenance, and verification and validation...
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Tiered Behaviour Architecture for Virtual Characters using Cyclic Scheduling and Behaviour Capture
DownloadSpring 2015
A story-based video game contains many characters. A few are controlled by the player and the majority are virtual characters, controlled by artificial intelligence. In recent years, video game artificial intelligence has developed slower than other aspects of video games, such as graphics,...