Current Progress in the Application of Artificial Intelligence for Nuclear Power Plant Operation
Author:
Funder
Korea Institute of Energy Technology Evaluation and Planning
National Research Foundation of Korea
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11814-024-00246-7.pdf
Reference130 articles.
1. K. Jin, J. Cho, S.-Y. Kim, Machine learning-based categorization of source terms for risk assessment of nuclear power plants. Nucl. Eng. Technol. 54(9), 3336–3346 (2022)
2. H. Kim et al., Random forest classifier for real-time chemical leak source tracking using fence-monitoring sensors. Korean J. Chem. Eng. 35(6), 1231–1239 (2018)
3. E. Broughton, The Bhopal disaster and its aftermath: a review. Environ. Health 4(1), 6 (2005)
4. J.M. Broughton et al., A scenario of the Three Mile Island unit 2 accident. Nucl. Technol. 87(1), 34–53 (1989)
5. The Fukushima Daiichi Accident. International Atomic Energy Agency, Vienna (2015)
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