Detection of Hydrogen Leakage Using Different Machine Learning Techniques
Author:
Affiliation:
1. Effat University,College of Engineering,Jeddah,Saudi Arabia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10092280/10092282/10092303.pdf?arnumber=10092303
Reference15 articles.
1. Forecasting a Small-Scale Hydrogen Leakage in Air using Machine Learning Techniques
2. A gradient boosting method to improve travel time prediction
3. Α new void fraction correlation inferred from artificial neural networks for modeling two-phase flows in geothermal wells
4. Predicting Turbulent Buoyant Jet Using Machine Learning Techniques
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Artificial Intelligence-Driven Innovations in Hydrogen Safety;Hydrogen;2024-06-08
2. Digital Twin Integration for Hydrogen Leakage Modeling and Analysis;2024 21st Learning and Technology Conference (L&T);2024-01-15
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