Currently, workers in nuclear power plants need to monitor plant data in real time. In the
event of an emergency, due to human subjectivity, the operator cannot make accurate …

The nuclear industry is exploring applications of Artificial Intelligence (AI), including
autonomous control and management of reactors and components. A condition assessment …

The advancement of safety and reliability in Nuclear Power Plants (NPP) is essential for
ensuring the protection of human life, the environment, and the sustainable use of clean …

Previous work done on reactor kinetics and control in load-following operation modes
available in open literature is reviewed. The analysis is focused on, however not limited to …

This study emphasizes how important accurate prediction of channel temperatures in
nuclear reactors is for safety and operational efficiency. While traditional methods require …

To expedite the decision-making process under Nuclear Power Plant (NPP) accident
conditions, at a reduced computational cost, a Machine Learning (ML) time-series meta …

Artificial Intelligence (AI) is fundamentally transforming nuclear technology and energy
applications by offering advanced solutions to long-standing challenges. Leveraging recent …

This paper introduces a novel hyperparameter optimization framework for regression tasks
called the Combined-Sampling Algorithm to Search the Optimized Hyperparameters …

Severe accidents (SAs) continue to pose a significant threat to the nuclear industry despite
advancements in reactor design. This paper provides a comprehensive review of research …

The nuclear power plant (NPP) plays a crucial role in providing clean energy, significantly
contributing to mitigating global warming. However, this advantage is accompanied by …