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Skip to Search Results- 2White, Martha
- 1Afaghi, Mohammad
- 1Ajallooeian, Mohammad Mahdi
- 1Alinezhad, Haniyeh Seyed
- 1Allen, Felicity R
- 1Almadhoun, Mahmoud
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Fall 2009
The morphology and physicochemical properties of bacterial cells at the molecular level influence their adhesion to surfaces and interfaces. In this study, atomic force microscopy (AFM) was used to explore the morphology of soft, living cells in aqueous buffer, to map bacterial surface...
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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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Applying Machine Learning Techniques to Improving Truck Productivity Prediction Accuracy at Mine Sites
DownloadFall 2023
In oil sands mining, off-the-road trucks play a leading role in transporting bulk materials (ores and waste). The productivity of truck haulage (also referred to as truck productivity), defined as the truck payload per unit time in each truck haulage cycle, is of great interest to the mining...
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Fall 2011
With increasing software size and complexity, corrective software maintenance has become a challenging process. When a failure is reported, it takes time and expertise for human operators to collect the right information and pinpoint the root cause. Typically, the operators are overloaded with...
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Atomic Electronics With Silicon Dangling Bonds: Error Correction, Logical Gates, and Electrostatic Environment
DownloadSpring 2020
With the potential to unleash a new basis for electronics that are more energy efficient, faster, and at the ultimate scale in size density, single atoms as building blocks for miniature circuity have long been a technological holy grail. Preventing significant development have been various...
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Atomic Force Microscopy Characterization of Hydrogen Terminated Silicon (100) 2x1 Reconstruction
DownloadFall 2015
Non-contact Atomic Force Microscopy (NC-AFM) is a Scanning Probe Microscopy tool offering unique non-perturbative analysis of surfaces and adsorbates at the atomic scale. AFM precisely oscillates a sharp tip above a sample. By monitoring the shift in resonance frequency of a quartz tuning fork...
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Spring 2017
Optimizing an objective function over convex sets is a key problem in many different machine learning models. One of the various kinds of well studied objective functions is the convex function, where any local minimum must be the global mini- mum over the domain. To find the optimal point that...
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Breaking the wall of silence of trees Mining metabolomics to describe hybridization and predict performance in the Populus – Sphaerulina musiva pathosystem
DownloadFall 2017
Stem canker diseases in poplars caused by the fungal pathogen Sphaerulina musiva Peck. remain some of the least understood forest diseases despite causing considerable damage, particularly in hybrid poplar plantations. S. musiva is endemic to eastern Canada in provinces including the Maritimes,...
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Fall 2018
Cash is the most important resource at the disposal of a construction company, and management of cash has a direct impact on long- and short-term company performance. Accurately predicting the amount of cash-flow expected from particular construction operations, however, remains challenging due...
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Fall 2017
Massive amounts of user behavior logs and sensor data are generated on mobile devices, which can help to improve the usability of social media apps and other intelligent apps. However, collecting such personal data may spark privacy and legal concerns. Recently, many efforts in both academia and...