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Skip to Search Results- 110Machine learning
- 10Artificial intelligence
- 5Reinforcement learning
- 4Natural language processing
- 3Data mining
- 3Game theory
- 4Hindle, Abram
- 4Mark A. Lewis
- 4Russell Greiner
- 3Noonari, Juned (Supervisor)
- 3Pouria Ramazi
- 2Fan, Chengkai
- 84Graduate and Postdoctoral Studies (GPS), Faculty of
- 84Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 7Master of Science in Internetworking (MINT)
- 7Master of Science in Internetworking (MINT)/Capstone Projects & Reports (Master of Science in Internetworking (MINT))
- 5Biological Sciences, Department of
- 5Biological Sciences, Department of/Journal Articles (Biological Sciences)
- 84Thesis
- 9Report
- 5Article (Published)
- 5Article (Draft / Submitted)
- 3Conference/Workshop Poster
- 3Research Material
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Research on IoT Threats & Implementation of AI/ML to Address Emerging Cybersecurity Issues in IoT with Cloud Computing
Download2022-03-31
Internet of Things (IoT) has become one of the progressive innovations and inviting space of interest for the research world and financially captivating for the business world. Integrating different devices and associating devices with humans requires artificial intelligence/ machine learning...
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Research, Implementation and Security Analysis of Connected and Autonomous Vehicles (CAVs) using Machine Learning Algorithms
Download2022-03-17
Efforts linked to connected and autonomous vehicles (CAVs) have exploded in the last several years, and they are already beginning to impact people's daily lives. A growing number of businesses and academic institutions have made public announcements about their CAV efforts, and a few have even...
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Spring 2024
Urban stormwater quality is a critical concern in urban planning and stormwater management due to its significant influence on receiving water bodies and ecosystems. The dynamics of stormwater quality is influenced by complex factors, with rainfall characteristics and land-use/land cover (LULC)...
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Fall 2017
The importance of anchor ice transport of sediment on a river is significantly understudied. This study addresses the lack of data related to anchor ice release and rafting. A large sample set of anchor ice was collected in the field over the 2015-2016 and 2016-2017 winter seasons to compute a...
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Space plasma instrument concept and analysis using simulation and machine learning techniques
DownloadFall 2022
Much interest has been drawn toward our near-Earth space with the advent of the space-flight era. In order to better understand this highly dynamic environment, the development of measuring instruments for use on near-Earth spacecraft has become particularly important. The current inference...
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Spring 2022
The fifth-generation (5G) and beyond wireless networks aim to increase the current data rates to more than 10 Gbit/s. Thus, the spectrum crunch necessitates increasing spectral efficiency (SE). Key non-orthogonal technologies for this goal are (I) full-duplex wireless, (II) generalized...
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Spring 2012
We study linear estimation based on perturbed data when performance is measured by a matrix norm of the expected residual error, in particular, the case in which there are many unknowns, but the “best” estimator is sparse, or has small L1-norm. We propose a Lasso-like procedure that finds the...
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Supplementary tables related to the thesis: "Insights into deep Earth provided by sublithospheric diamonds and associated minerals from the DO-27 kimberlite, Slave Craton, Canada", Qiwei Zhang, 2025.
Supplementary tables related to the thesis: "Insights into deep Earth provided by sublithospheric diamonds and associated minerals from the DO-27 kimberlite, Slave Craton, Canada", Qiwei Zhang, 2025.
Download2025-02-25
This file comprises supplementary tables for the thesis titled Insights into deep Earth provided by sublithospheric diamonds and associated minerals from the DO-27 kimberlite, Slave Craton, Canada by Qiwei Zhang
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Fall 2015
Researchers conduct association studies to discover biomarkers in order to gain new biological insight on complex diseases and phenotypes. Although most researchers have intuitions about what defines a biomarker and how to assess the results of an association study, there is neither a formal...
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The challenge of applying machine learning techniques to diagnose schizophrenia using multi-site fMRI data
DownloadSpring 2017
One of the main challenges for the use of machine learning techniques in neuroimaging data is the small n, large p problem. Datasets usually contain only a few hundreds of instances (n), each of which is described using hundreds of thousands of features (p). In this dissertation, we explore the...