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Skip to Search Results- 6Shahpouri, Saeid
- 5Koch, Charles Robert
- 5Shahbakhti, Mahdi
- 4Norouzi, Armin
- 2Gordon, David
- 2Hayduk, Christopher
- 5Mechanical Engineering, Department of
- 4Mechanical Engineering, Department of/Progress in Canadian Mechanical Engineering, Volume 5
- 1Graduate and Postdoctoral Studies (GPS), Faculty of
- 1Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 1Mechanical Engineering, Department of/Journal Articles (Mechanical Engineering)
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Deep Learning and Nonlinear Model Predictive Control Integration for Compression Ignition Engine Emission Reduction
Download2022-06-01
Norouzi, Armin, Shahpouri, Saeid, Gordon, David, Winkler, Alexander, Nuss, Eugen, Andert, Jakob, Shahbakhti, Mahdi, Koch, Charles Robert
Conference abstract. Part of the Proceedings of the Canadian Society for Mechanical Engineering International Congress 2022.
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2022-06-01
Gordon, David, Norouzi, Armin, Shahpouri, Saeid, Shahbakhti, Mahdi, Koch, Charles Robert
Conference abstract. Part of the Proceedings of the Canadian Society for Mechanical Engineering International Congress 2022.
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Laminar Flame Speed Modeling of Hydrogen, Methanol and Ammonia Using Machine Learning of Machine Learning
Download2022-06-01
Shahpouri, Saeid, Norouzi, Armin, Hayduk, Christopher, Fandakov, Alexander, Rezaei, Reza, Koch, Charles Robert, Shahbakhti, Mahdi
Conference Abstract. Part of the Proceedings of the Canadian Society for Mechanical Engineering International Congress 2022.
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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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2022-06-01
Shahpouri, Saeid, Norouzi, Armin, Hayduk, Christopher, Rezaei, Reza, Shahbakhti, Mahdi, Koch, Charles Robert
Conference Abstract. Part of the Proceedings of the Canadian Society for Mechanical Engineering International Congress 2022.
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Tailpipe NOx Emission Dataset
2023-01-01
Shahpouri, Saeid, Jiang, Luo, Koch, Charles Robert, Shahbakhti, Mahdi
The dataset contains information on tailpipe NOx emissions for a heavy-duty diesel truck during real-driving conditions. The dataset includes the following columns: ambient air temperature (in degrees Celsius), vehicle speed (in km/h), engine speed (in rpm), engine torque (in N.m), fuel...