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- 26Predictions
- 10Artificial intelligence
- 6Reinforcement learning
- 5Databases
- 3Data mining
- 5Wishart, D.S.
- 4Hindle, Abram
- 4Mark A. Lewis
- 4Russell Greiner
- 3Noonari, Juned (Supervisor)
- 3Pouria Ramazi
- 85Graduate and Postdoctoral Studies (GPS), Faculty of
- 85Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 11Biological Sciences, Department of
- 11Biological Sciences, Department of/Journal Articles (Biological Sciences)
- 7Master of Science in Internetworking (MINT)
- 7Master of Science in Internetworking (MINT)/Capstone Projects & Reports (Master of Science in Internetworking (MINT))
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Developing and Evaluating Algorithms for Fixing Omission and Commission Errors in Structured Data
DownloadFall 2020
The use of machine learning is rapidly rising to deliver a variety of benefits in various domains. However, developing predictive systems often faces many challenges that can drastically delay model deployment. For instance, obtaining labeled training data is one of the most expensive bottlenecks...
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Development and Applications of Mechanics- and Data-based Capacity Models for Intact/Corroded Prestressed Concrete Bridge Girders
DownloadFall 2022
Prestressed concrete (PC) highway bridges represent an integral part of the transportation network and contribute significantly to socio-economic development. However, highway bridges are susceptible to Deterioration and thus exhibit structural deficiency after years of service, especially in the...
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Development and Validation of an Automated Essay Scoring Framework by Integrating Deep Features of English Language
DownloadFall 2016
Automated scoring methods have become an important topic for the assessments of 21st century skills. Recent development in computational linguistics and natural language processing has given rise to more rational based methods for the extraction and modeling of language features. The language...
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Effect of Purge Gas Flow Rate and Oxygen Impurity on Heel build-up and Prediction of Heel build-up Using Machine Learning
DownloadFall 2021
Heel buildup, i.e., the accumulation of non-desorbed/non-desorbable adsorbates and their by-products on an adsorbent, during cyclic adsorption/regeneration of volatile organic compounds (VOCs) onto activated carbon decreases its adsorption capacity and lifetime. In this this study, the effect of...
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Energy optimization of a residential building using occupancy prediction via sensor fusion and machine learning algorithms
DownloadFall 2023
Occupancy-based control systems for floor heating can lead to energy saving in a residential building. This study focuses on the energy consumption by space heating system in a half-duplex residential house located in Edmonton, Alberta. In the first part, a sensor fusion model was designed to...
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2006
Berlyn, M.K., Plunkett, G., Wishart, D.S., Nori, H., Riley, M., Rudd, K.E., Glasner, J.D., Arnaud, M.B., Abe, T., Thomson, N.R., Wanner, B.L., Pernas, N.T., Blattner, F.R., Serres, M.H., Thomas, G.H., Horiuchi, T., Kosuge, T., Keseler, I.M., Chaudhuri, R.R.
The goal of this group project has been to coordinate and bring up-to-date information on all genes of Escherichia coli K-12. Annotation of the genome of an organism entails identification of genes, the boundaries of genes in terms of precise start and end sites, and description of the gene...
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Evaluation of machine learning methods for predicting eradication of aquatic invasive species
Download2018-03-27
Yanyu Xiao, Russell Greiner, Mark A. Lewis
In the work, we evaluate the performance of machine learning approaches for predicting successful eradication of aquatic invasive species (AIS) and assess the extent to which eradication of an invasive species depends on the certain specified ecological features of the target ecosystem...
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2021-01-05
Pouria Ramazi, Mélodie Kunegel-Lion, Russell Greiner, Mark A. Lewis
Although ecological models used to make predictions from underlying covariates have a record of success, they also suffer from limitations. They are typically unable to make predictions when the value of one or more covariates is missing during the testing. Missing values can be estimated but...
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Spring 2012
Homogenous Charge Compression Ignition (HCCI) is a promising technology that offers high fuel economy and low oxides of nitrogen and particulate emission for automotive and stationary engines. A significant challenge with HCCI is the large number of partial burn/misfire cycles within the lean...
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Fall 2016
Humans are the major cause of forest fires in the spring in Alberta, and have resulted in major property damage in both the Flat Top Complex fires in 2011 and the Fort McMurray fire in 2016. Fire occurrence prediction (FOP) models can help predict when and where fires can be expected in order to...