SearchSkip to Search Results
- 30machine learning
- 4artificial intelligence
- 4reinforcement learning
- 2microwave sensor
- 1 adsorption
- 1 audio-visual
- 1Abdolrazzaghi, Mohammad
- 1Badamdorj, Taivanbat
- 1Bennett, Brendan
- 1Benoit, James RA
- 1Carlos Manuel Martínez
- 1Chakravarty, Sucheta
- 22Graduate Studies and Research, Faculty of
- 22Graduate Studies and Research, Faculty of/Theses and Dissertations
- 3Concordia University of Edmonton
- 2Electrical and Computer Engineering, Department of
- 2Electrical and Computer Engineering, Department of/Journal Articles (Electrical and Computer Engineering)
- 2Concordia University of Edmonton/Master of Information Systems Security Management (MISSM) and Master of Information Systems Assurance Management (MISAM) Project Reports (Concordia University of Edmonton)
- 5Department of Computing Science
- 3Department of Electrical and Computer Engineering
- 2Department of Biological Sciences
- 2Department of Chemical and Materials Engineering
- 2Department of Civil and Environmental Engineering
- 2Department of Mechanical Engineering
Kazemi, Nazli, Abdolrazzaghi, Mohammad, Musilek, Petr
In this study, a loss-compensated microwave (MW) planar sensor is used to characterize ﬂuids at ~1 GHz. The environmental temperature is shown to adversely impact the recorded resonance frequency of the MW sensor, leading to data mixing. This issue is resolved using a feedforward artiﬁcial neural...
An Efficient and Accurate Numerical Determination of the Cluster Resolution Metric in Two DimensionsDownload
Sorochan Armstrong, Michael D., de la Mata, A. Paulina, Harynuk, James J.
Cluster resolution (CR) is a useful metric for guiding automated feature selection of classification models. CR is a measure of class separation in a linear subspace for variable subsets via the determination of maximal, non‐intersecting confidence ellipses. Feature selection by cluster...
Artificial Neural Network Model for Analysis of In-Plane Shear Strength of Partially Grouted Masonry Shear WallsDownload
The behaviour of partially grouted (PG) masonry shear walls is complex, due to the inherent anisotropic properties of masonry materials and nonlinear interactions between the mortar, blocks, grouted cells, ungrouted cells, and reinforcing steel. Since PG shear walls are often part of lateral...
The development of the modern transistor has sparked a technological revolution which has flourished for the past 70 years. Advancements in transistor design and fabrication have allowed for their continued shrinking in size and increase in operation speed. With the continued reduction in size...
Behavioral-based classification and identification of ransomware variants using machine learningDownload
Due to the changing behavior of ransomware, traditional classification and detection techniques do not accurately detect new variants of ransomware. Attackers use polymorphic and metamorphic techniques to avoid detection of signature -based systems. We use machine learning classification to...
Computational psychiatry: machine learning for clinical decision support in the treatment of major depressionDownload
The goal of this thesis is to contribute to the fields of data-driven medicine and computational psychiatry by attempting to demonstrate the viability of machine learning for use in psychiatry, specifically in predicting treatment outcomes for major depression. This is attempted in four ways: ...
Imperfect information games model many large-scale real-world problems. Hex is the classic two-player zero-sum no-draw connection game where each player wants to join their two sides. Dark Hex is an imperfect information version of Hex in which each player sees only their own moves. Finding Nash...
Disentangling a freshwater amphipod–acanthocephalan system from ecological and molecular perspectivesDownload
One of the major goals in ecological research is to understand factors that influence distribution, diversity and prevalence of parasites and their hosts. How hosts are distributed geographically clearly restricts the spatial distribution of associated obligatory parasites. This restriction is...
Economics of wildfire suppression: Estimation of drivers of suppression expenditure and Risk preference experiments with wildfire managementDownload
Public wildfire management agencies are presented with a momentous responsibility: to protect life, property and infrastructure from the devastation of wildland fire, while operating at a level of expenditure justifiable to taxpayers. At a time when climate change drives more extreme fire...
In this work, a microwave planar sensor is used for liquid material characterization. Two identical complementary split-ring resonators operating at 3 GHz are coupled to create a highly sensitive capacitive region. The moderate quality factor of the sensor ~230 is significantly improved up to...