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Skip to Search Results- 1Allen,Richelle J
- 1Backs, Jonathan A.J.
- 1Booker, Brandon K.
- 1Braithwaite, Shannon Lynn
- 1Chou, Zou-Long
- 1Cui, Tao
- 15Graduate and Postdoctoral Studies (GPS), Faculty of
- 15Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 1Agricultural, Food and Nutritional Science, Department of
- 1Agricultural, Food and Nutritional Science, Department of/Journal Articles (Agricultural, Food and Nutritional Science)
- 1Sustainable Forest Management Network
- 1Sustainable Forest Management Network/Project Reports (Sustainable Forest Management Network)
- 3Department of Biological Sciences
- 3Department of Electrical and Computer Engineering
- 2Department of Chemical and Materials Engineering
- 2Department of Renewable Resources
- 1Department of Agricultural, Food, and Nutritional Science
- 1Department of Civil and Environmental Engineering
- 1Alasdair Syme (Oncology)
- 1Belosevic, Miodrag (Biological Sciences)
- 1Cheng, J.J. Roger (Civil and Environmental Engineering)
- 1Chui,Linda (Laboratory Medicine and Pathology)
- 1Daneshmand, Mojgan (Electrical and Computer Engineering) - Supervisor
- 1Dr. Cindy Paszkowski (Department of Biological Sciences) / Dr. David Coltman (Department of Biological Sciences)
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2021-09-01
All elements of the IT industry are expanding, including bandwidth, storage, processing speed. As a result, there are now more cyber threats and attacks, necessitating a creative and predictive security approach that employs cutting-edge technology to combat the danger. The trends will be...
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Numerical Characterization of Ultrasound Elastography for the Early Detection of Deep Tissue Injuries
DownloadFall 2014
Deep tissue injuries - casually termed "bedsores" or "pressure ulcers" - are a type of wound often suffered as secondary injuries in persons with reduced mobility such as those with spinal cord injuries, the elderly, and people with multiple sclerosis. Deep tissue injuries form when excess...
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2011
Newton, Fraser, Kouritzin, Michael
A CAPTCHA is an automatically generated test designed to distinguish between humans and computer programs; specifically, they are designed to be easy for humans but difficult for computer programs to pass in order to prevent the abuse of resources by automated bots. They are commonly seen...
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Optimization, adaptation and application of protein misfolding cyclic amplification to detection of prions in blood plasma
DownloadFall 2010
The PMCA assay was optimized for adaptation to low level detection of PrPSc in hamster plasma. Evaluation of numerous key variables of the PMCA assay led to an optimized protocol capable of ~3 log10 amplification after 32 cycles (two 16 hour rounds). When commercially purchased normal hamster...
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Spring 2017
The basic human right to have safe and clean drinking water cannot be neglected with the ever-rising worldwide need for drinking water that meets global standards. Local monitoring of water sources is even more vital in areas where access to pure drinking water is limited and its processing...
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Fall 2018
Understanding where and when populations occur is the first step to conservation and maintenance of biodiversity. Where human land-use overlaps with populations of conservation concern, population loss may occur, potentially reducing long-term persistence of species, particularly for those that...
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Sustaining the Recovery of Lake Sturgeon (Acipenser fulvescens) in the North Saskatchewan River of Alberta
DownloadSpring 2016
Nearly all Lake Sturgeon (Acipenser fulvescens) populations across North America have experienced losses to historic abundances estimated to be > 99%. This species is especially vulnerable to overharvest, habitat degradation, river fragmentation from dams, and is slow to recover due to life...
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Fall 2014
Multi-input-multi-output (MIMO) system, due to its large channel capacity and high reliability, has been widely studied in numerous existing work. It has a lot of applications in reality, e.g., 3GPP and LTE standards. These advantages owes to the understanding of the MIMO channel, which shows the...
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Fall 2021
Deep neural network (DNN) has been developed rapidly in years. While it shows promising results in various tasks of computer vision, DNN typically suffers from accuracy loss due to the domain shift from a source domain to a target domain. To mitigate the accuracy loss without the label from...