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Skip to Search Results- 4Bayesian networks
- 3Mutual information
- 1Acid-catalyzed fructose conversion
- 1Acknowledgment signals
- 1Amplify-and-forward relaying
- 1Assignment problem
- 1Ardakani, Masoud (Electrical and Computer Engineering)
- 1Baayen, R. Harald (Linguistics)
- 1Beaulieu, Norman C. (Electrical and Computer Engineering)
- 1Huang, Biao (Chemical and Materials Engineering)
- 1Huang, Biao (Department of Chemical and Materials Engineering)
- 1Li, Zukui (Department of Chemical and Materials Engineering)
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Spring 2022
Processing of complex feedstocks for the production of value-added chemicals and fuels is industrially important. The lack of a priori knowledge of the innumerable species and the reaction pathways governing their conversion, has posed challenges to monitoring these processes. Although,...
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Spring 2021
For efficient process control and monitoring, accurate real-time information of quality variables is essential. To predict these quality (or slow-rate) variables at a fast-rate, in the industry, inferential/soft sensors are often used. However, most of the conventional methods for soft sensors do...
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Fall 2014
In distributed sensing systems, measurements from a random process or parameter are usually not available in one place. Also, the processing resources are distributed over the network. This distributed characteristic of such sensing systems demands for special attention when an estimation or...
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Performance evaluation and protocol design of fixed-rate and rateless coded relaying networks
DownloadSpring 2011
The importance of cooperative relaying communication in substituting for, or complementing, multiantenna systems is described, and a brief literature review is presented. Amplify-and-forward (AF) and decode-and-forward (DF) relaying are investigated and compared for a dual-hop relay channel. The...
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Probabilistic Models for Process Monitoring and Causality Analysis with Industrial Applications
DownloadFall 2019
Process monitoring involves ensuring that the process systems are run safely and operated in the most profitable manner. On the other hand, causal modelling involves studying the causal interactions among the variables in a process system. The knowledge of these interactions is useful in process...
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Visual processing of Vietnamese compound words: A multivariate analysis using corpus linguistic and psycholinguistic paradigms
DownloadFall 2014
This dissertation investigates disyllabic compound words in Vietnamese, an isolating tone language, using corpus linguistics and psycholinguistic experimental paradigms. Chapter 2 reports the construction of two corpora and a database of wide range of lexical variables. Chapter 3 discusses a...