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- 16mountain pine beetle
- 8artificial intelligence
- 6reinforcement learning
- 4microwave sensor
- 3anomaly detection
- 52Graduate and Postdoctoral Studies (GPS), Faculty of
- 52Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 11Concordia University of Edmonton
- 6Concordia University of Edmonton/Master of Science in Information Technology Project Reports (Concordia University of Edmonton)
- 4Computing Science, Department of
- 3Electrical and Computer Engineering, Department of
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2013
Alipour, A., Hindle, Abram, Stroulia, E
Bug-tracking and issue-tracking systems tend to be populated with bugs, issues, or tickets written by a wide variety of bug reporters, with different levels of training and knowledge about the system being discussed. Many bug reporters lack the skills, vocabulary, knowledge, or time to...
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2020-01-01
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...
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A unified view of epidemiological modelling and artificial intelligence-based approach to understanding the COVID-19 disease spread for supporting public policy decisions
Download2022
The Covid-19 epidemic has emerged as one of the most concerning global public health catastrophes of the twenty-first century, highlighting the critical need for robust forecasting approaches for disease identification, alleviation, and prevention, among other things. Forecasting is one of the...
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ADVANCED MACHINE LEARNING EMPOWERING MICROWAVE SENSORS WITH GENERATIVE/PREDICTIVE CAPABILITIES
DownloadFall 2023
This dissertation, addressing the critical shortage of microwave planar sensors, embarks on a journey to advance noncontact sensing applications, with a particular emphasis on the application of machine learning techniques to address existing problems. It pioneers the introduction of a unique...
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An Efficient and Accurate Numerical Determination of the Cluster Resolution Metric in Two Dimensions
Download2021-04-01
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...
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2021-06-23
Ramani, Sushmitha Suruliyandi, Naralasetty, Manikanta, Avneesh, Kothakapu, Ambica, Rudraraju, Shainija, Nasina, Sai Harish, Metla, Sirisha
Security threats in Android applications have grown in sync with Android’s growth. Machine leaning can be used to add functionality to traditional antivirus systems. Such an approach necessitates the identification and labelling of a large amount of harmful and benign code in advance to use it...
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2021-04-01
Oha, Chibueze Victor, Farouk, Fathima Shakoora, Patel, Pujan Pankaj, Meka, Prithvi, Nekkanti, Sowmya, Nayini, Bhageerath, Carvalho, Smit Xavier, Desai, Nisarg, Patel, Manishkumar
Connected devices are penetrating the market with an unprecedented speed. Networks that carry Internet of Things (IoT) traffic need highly adaptable tools for traffic analysis in order to detect and suppress malicious agents. This has prompted researchers to explore the various benefits machine...
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Analyzing the risks associated with railway transportation of hazardous materials and developing process models for railway incidents with high potential for release using machine learning and data analytics
DownloadSpring 2023
The Canadian economy relies heavily on its transportation network. It supports hundreds of thousands of jobs, contributes billions to the economy, and facilitates the movement of goods within the country as well as internationally. Railways provide affordable and efficient transportation to over...
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Application of machine learning techniques to predict the unconfined compressive strength of sustainable cementitious materials used in the mining industry
DownloadFall 2023
Balasooriya Arachchilage, Chathuranga S J
Various forms of cementitious materials, including shotcrete, grouts, and cemented paste backfill (CPB), are made with ordinary Portland cement (OPC). They are widely used for both underground and surface mining applications. However, due to the high carbon footprint of OPC production, the mining...
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Artificial Neural Network Model for Analysis of In-Plane Shear Strength of Partially Grouted Masonry Shear Walls
DownloadSpring 2018
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...