A Comparative Study of Deep Learning Architectures for Anomaly Detection in PWRs: Achieving Optimal Accuracy, Efficiency, and Interpretability with a Feature-Engineered Multi-layer Perceptron

SN Computer Science 2026

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Authors: Ihtesham Ibn Malek, S. M. Shohorab Hossain Hasib, Shakhawat Parvez

DOI: 10.1007/s42979-026-05085-3

Cited by: 1

References: 30

Fields of Study & Subjects

Anomaly Detection Techniques and Applications Nuclear Engineering Thermal-Hydraulics Fault Detection and Control Systems

References 30