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Skip to Search Results- 7Deep Learning
- 4Machine Learning
- 2Computer Vision
- 2Internal Combustion Engines
- 2UAV
- 1Artificial Intelligence
- 1Ebrahimnezhad, Amir Hossein
- 1Imam, Habiba Z
- 1Norouzi Yengeje, Armin
- 1Shahpouri, Saeid
- 1Soleimanzade, Mohammad Amin
- 1Wei, Dongdong
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Spring 2022
The rapid increase in global water and energy demand due to industrialization and population growth is a pressing challenge humankind faces today. Recent estimates indicate that due to population growth and reduction of water supplies, 40% of the global population is struggling with water...
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Fall 2023
Unmanned aerial vehicles or UAVs have largely become and continue to be an inseparable part of modern warfare, security and surveillance systems, first aid response, aerial cinematography and many other sectors. Therefore, achieving full autonomy for UAVs and drones would ensure mass mobilization...
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Fall 2019
Object detection is an image processing technology to detection different classes of objects using computer vision, i.e. putting bounding boxes over objects from a camera video feed. A landmark detection method was the Viola-Jones Algorithm introduced in 2001. The object classifier in this...
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Fall 2024
Operated under changing wind speed and harsh environment conditions, the rotating parts in wind turbine gearboxes, such as gears and bearings, will deteriorate and become faulty over time. By conducting real-time and accurate fault detection and diagnosis before significant failures occur, we can...
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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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Towards an Autonomous Robot-based Laser Cladding Repair Process: A Framework for Damage Detection, Localization and Path Planning
DownloadFall 2021
With piling scientific evidence and growing public concerns about climate change and depletion of natural resources, policymakers are being forced to implement stringent environmental regulations. One such sector under scrutiny for the concerning pace at which it is ...