Ethan Mashburn
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Research Areas
Biography and Research Information
OverviewAI-generated summary
Ethan Mashburn's research focuses on developing machine learning approaches for anomaly detection in hydrogen fuel cells. This work aims to contribute to the reliability and sustainability of energy systems. His recent publication addresses these topics within the context of sustainable energy.
Metrics
- Publications: 1
Selected Publications
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Machine Learning-Based Anomaly Detection in Hydrogen Fuel Cells: A Path Toward Sustainable and Reliable Energy Systems (2026)
Collaboration Network
Top Collaborators
- Machine Learning-Based Anomaly Detection in Hydrogen Fuel Cells: A Path Toward Sustainable and Reliable Energy Systems
- Machine Learning-Based Anomaly Detection in Hydrogen Fuel Cells: A Path Toward Sustainable and Reliable Energy Systems
- Machine Learning-Based Anomaly Detection in Hydrogen Fuel Cells: A Path Toward Sustainable and Reliable Energy Systems
- Machine Learning-Based Anomaly Detection in Hydrogen Fuel Cells: A Path Toward Sustainable and Reliable Energy Systems
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