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- 8artificial intelligence
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- 39Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 11Concordia University of Edmonton
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- 3Electrical and Computer Engineering, Department of
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Spring 2020
Machine learning (ML) has shown great potential to create tremendous value and growth to all sectors around the world, enhancing productivity, health, and longevity of humanity. ML differentiates itself from all previous methods through its adaptive and self-learning capabilities. In recent...
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Machine learning-based design and techno-economic assessments of adsorption processes for CO2 capture
DownloadFall 2021
Cyclic adsorption processes are widely considered for various industrial gas separations, including CO2 capture. The flexibility to configure a variety of process cycles is an attractive process design feature of these processes. Despite such flexibility for process design, computationally...
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Modelling Mountain Pine Beetle Population Dynamics and Management: A Case Study from the Cypress Hills
DownloadFall 2019
Outbreaks of insects are one of the main sources of disturbance in North American pine forests. The huge economic and ecological consequences of these outbreaks emphasize the need for effective pest management. For example, the mountain pine beetle (Dendroctonus ponderosae, Hopkins 1902) has...
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2022
Many people have been interested in music recognition. The automated transcription of musical compositions and the identification of sound sources, such as the sort of instruments used, have taken a lot of time and work. With the rise of personal computers and multimedia systems in recent years,...
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Multi-Sensor Data Fusion and Reconfigurable Measurement System: A Machine Learning Approach
DownloadSpring 2020
The fast development of new technologies related to sensor solutions, cyber-physical-systems, cloud computing, the Internet of Things (IoT) and their applications in the industry has led to a new modern era where the industry itself has faced a new industrial revolution called Industry 4.0. With...
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Fall 2019
Question answering (QA) is the task of automatically finding answers to natural language questions. A QA system requires access to some form of knowledge in order to find the answers. Most QA tasks use raw text corpora or structured knowledge bases as knowledge. However, raw text corpora,...
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Fall 2023
The increasing complexity of electric power grids, owing to the integration of Distributed Energy Resources (DER), electric vehicles, energy storage systems, and advanced metering infrastructure, has stimulated a surge in research on machine learning-based state estimation and control. In this...
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Fall 2021
This work focuses on the virtual generation of short percussive samples which can be used by electronic music artists in their compositions. Although recent advancements in digital synthesis, heuristic search, and neural networks have been utilized for the generation of a variety of sounds, the...
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Fall 2021
Successful learning is of vital importance to human cognition. Accordingly, researchers have been interested to understand brain-activity signals that support it. However, traditional analysis of brain activity is based on planned comparisons and descriptive methods, which can both overestimate...