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Skip to Search Results- 49Deep Learning
- 21Machine Learning
- 9Computer Vision
- 8Artificial Intelligence
- 3Convolutional Neural Network
- 3Image Classification
- 2Shahpouri, Saeid
- 1Aghaei, Nikoo
- 1Akbari, Mojtaba
- 1Alla, Hemanth Reddy
- 1Amini, Iman
- 1Atakishiyev, Shahin
- 47Graduate and Postdoctoral Studies (GPS), Faculty of
- 47Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 1Concordia University of Edmonton
- 1Concordia University of Edmonton/Master of Science in Information Technology Project Reports (Concordia University of Edmonton)
- 1Mechanical Engineering, Department of
- 1Mechanical Engineering, Department of/Journal Articles (Mechanical Engineering)
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Spring 2023
The electrocardiogram (ECG) records the electrical activity of a patient’s heart movement. It is one of the standard routine healthcare tests as it is non-invasive and easy to apply. In this thesis, we analyze 2 million ECGs and over 260,000 patients’ health records from the Alberta Health...
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Spring 2023
Diffeomorphic image registration is important for medical imaging studies because of the properties like invertibility, smoothness of the transformation, and topology preservation/non-folding of the grid. Violation of these properties can lead to destruction of the neighbourhood and the...
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Fall 2022
Internal Combustion Engines (ICEs) are ubiquitous; they power a wide range of systems. The broad use of ICEs globally causes more than 20% of the total greenhouse gas emissions. In many countries, emission legislation is transitioning from certification using only traditional chassis dynomometer...
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Machine Learning for Emission Modeling of Fossil-fueled and Hydrogen-fueled Internal Combustion Engines
DownloadFall 2023
Development of fast and accurate emission models for engine-out and tailpipe of internal combustion engines (ICEs) using machine learning (ML) and hybrid methods are the focus of this thesis. The application is on medium and heavy-duty vehicles powered by both fossil fuels and alternative fuels...
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Microstructural Analysis of Ni-WC Metal Matrix Composites Deposited Using Plasma Transferred Arc Additive Manufacturing
DownloadFall 2023
The objective of this thesis is to examine how the composition and solidification rate influences the thermal degradation of WC and the resulting microstructure of WC-Ni metal matrix composites (MMCs) deposited using plasma transferred arc additive manufacturing (PTA-AM). Scanning electron...
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Motion Planning of Robotic Systems in Diagnostic and Therapy Applications Using Control and AI
DownloadFall 2023
This thesis presents significant research on robotic motion planning within diagnostic and therapy applications, with a primary focus on the integration of control and AI techniques. The research encompasses three main contributions: a robotic ultrasound imaging method, a robot-assisted...
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Multimodal Hand Signal and Speech Communication Classification Framework for the Construction Industry: The Case of Communication between Crane Signalman and Crane Operator
DownloadFall 2023
On construction sites, communication is key to boosting teamwork and improving worker performance. It allows workers to coordinate their activities, share information, and respond to potential hazards quickly and efficiently. In current practice, workers on construction sites typically rely on...
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Fall 2024
The COVID-19 pandemic accelerated the development of mRNA vaccines, yet iden- tifying the optimal mRNA sequence for human use, particularly for the SARS-CoV- 2 spike protein, remains challenging. This thesis focuses on optimizing the open reading frame (ORF), a crucial mRNA component composed of...
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Fall 2022
The objective of signal decomposition is to extract and separate distinct signal components from a composite signal. Signal decomposition has been studied in many applications, such as image, video, audio, and speech signals. This thesis focuses on the category of signal decomposition on...