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Skip to Search Results- 97Machine learning
- 9Artificial intelligence
- 5Reinforcement learning
- 3Game theory
- 3Natural language processing
- 3Online learning
- 4Hindle, Abram
- 4Mark A. Lewis
- 4Russell Greiner
- 3Noonari, Juned (Supervisor)
- 3Pouria Ramazi
- 2Fan, Chengkai
- 72Graduate and Postdoctoral Studies (GPS), Faculty of
- 72Graduate 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)
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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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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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2022-06-01
Zar, H. Ali, Goharimanesh, M., Janabi-Sharifi, F.
In this paper, estimation of the applied force on a planar catheter is considered. An image processing approach has been chosen as the most suitable tool. For this purpose, we create a comprehensive database of catheters with different shapes and operating forces. Using image processing...
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Spring 2022
Two-thirds of the world population faces severe water stress at least once per month in a year. The rapidly growing population exacerbates freshwater scarcity. Additionally, climate change, pollution, and bio-energy demands amplify the water demand problem. Since a large percentage of freshwater...
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2021-10-12
Internet of Things has a tremendous economic and social impact on our lives. IoT links many smart objects. Massive amounts of IoT systems-generated data are typically resource-constrained. More IoT applications and services are developing every day. Any significant contribution to the Internet of...
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Fall 2021
Salah Mohammed Awad AL-Heejawi
The histopathological examination of tissue biopsies is used as the gold standard by pathologists for diagnosing skin cancers, such as melanoma. Traditionally, the histopathological slides are examined by clinicians under a microscope. With recent advances in digital imaging and scanning, a glass...
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2021-09-01
After each software is developed, tests are carried out to identify defects that are subsequently deleted. But testing a non-trivial software completely is a really complex endeavor. Therefore, testing the software using critical test cases is important. Thus test case selection aims to minimize...
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Application of Machine Learning in the Big Data for Broiler Breeders Recorded by a Precision Feeding System
DownloadSpring 2021
A precision feeding (PF) system developed at the University of Alberta is an innovation in precise nutrition and management for broiler breeders. The PF system can automatically feed individual broiler breeders and record vast amounts of real-time data regarding the feeding activity of individual...
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2021-10-01
Pouria Ramazi, Mélodie Kunegel-Lion, Russell Greiner, Mark A. Lewis
Planning forest management relies on predicting insect outbreaks such as mountain pine beetle, particularly in the intermediate‐term future, e.g., 5‐year. Machine‐learning algorithms are potential solutions to this challenging problem due to their many successes across a variety of prediction...
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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...