Articles citing this article

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Cited article:

Application of Machine Learning and Deep Learning Techniques for Corrosion and Cracks Detection in Nuclear Power Plants: A Review

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Arabian Journal for Science and Engineering 50 (5) 3017 (2025)
https://doi.org/10.1007/s13369-024-09388-6

Comparison of inverse uncertainty quantification methods for critical flow test

Paweł Domitr, Mateusz Włostowski, Rafał Laskowski and Romuald Jurkowski
Energy 263 125640 (2023)
https://doi.org/10.1016/j.energy.2022.125640

Use of Artificial Intelligence algorithms for hodoscope measurement interpretations

S. Mirotta, P. Querre, J. Baccou, A. Gerbaud and T. Gerbaud
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 1010 165432 (2021)
https://doi.org/10.1016/j.nima.2021.165432

The use of machine learning for inverse uncertainty quantification in TRACE code based on Marviken experiment

Paweł Domitr and Mateusz Włostowski
Nuclear Engineering and Design 384 111498 (2021)
https://doi.org/10.1016/j.nucengdes.2021.111498