Entropy-Driven Intelligent Diagnosis for SMR Loss of Coolant Accidents: A CNN-LSTM-Attention Hybrid Model for Break Size Assessment.
- DOI
- 10.3390/e28070745
- Published
- 2026 Jul 1
- Container
- Entropy (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/e28070745,
title = {Entropy-Driven Intelligent Diagnosis for SMR Loss of Coolant Accidents: A CNN-LSTM-Attention Hybrid Model for Break Size Assessment.},
author = {Yang L and Lei J},
year = {2026},
journal = {Entropy (Basel, Switzerland)},
doi = {10.3390/e28070745},
url = {https://doi.org/10.3390/e28070745}
}RIS
TY - JOUR TI - Entropy-Driven Intelligent Diagnosis for SMR Loss of Coolant Accidents: A CNN-LSTM-Attention Hybrid Model for Break Size Assessment. AU - Yang L AU - Lei J PY - 2026 JO - Entropy (Basel, Switzerland) DO - 10.3390/e28070745 UR - https://doi.org/10.3390/e28070745 ER -
APA
L, Y., & J, L. (2026). Entropy-Driven Intelligent Diagnosis for SMR Loss of Coolant Accidents: A CNN-LSTM-Attention Hybrid Model for Break Size Assessment.. Entropy (Basel, Switzerland). https://doi.org/10.3390/e28070745
Source records
- pubmed · retrieved 2026-11-10T06:46:20.509Z