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- 1Ammonia oxidation
- 1Artificial learning
- 1Catalysis
- 1Computational fluid dynamics
- 1Deep learning
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2004
McCrosky, Jesse, Kouritzin, Michael, Blount, Douglas
A hybrid weighted/interacting particle filter, the selectively resampling particle (SERP) filter, is used to detect and track an unknown number of independent targets on a one-dimensional \"racetrack\" domain. The targets evolve in a nonlinear manner. The observations model a sensor positioned...
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Fall 2019
Emergent communication is a framework for machine language acquisition that has recently been utilized to train deep neural networks to develop shared languages from scratch and use these languages to communicate and cooperate. Previous work on emergent communication has utilized gradient-based...
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Neural networks modelling of stream nitrogen using remote sensing information: model development and application
DownloadFall 2009
In remotely located forest watersheds, monitoring nitrogen (N) in streams often is not feasible because of the high costs and site inaccessibility. Therefore, modelling tools that can predict N in unmonitored watersheds are urgently needed to support management decisions for these watersheds....
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Fall 2018
This work contains investigations relevant for the study of catalytic chemical reactors using the detailed microkinetics approach, with the intent of improving the prediction of the product distribution. The study is comprised of two main topics. The first one consists of an investigation of...