[HTML][HTML] A Survey of Artificial Intelligence Applications in Nuclear Power Plants

C Jendoubi, A Asad - IoT, 2024 - mdpi.com
Nuclear power plants (NPPs) rely on critical, complex systems that require continuous
monitoring to ensure safe operation under both normal and abnormal conditions. Despite …

Optimization of passive modular molten salt microreactor geometric perturbations using machine learning

A Larsen, R Lee, B Clayton, E Mercado, E Wright… - … Engineering and Design, 2024 - Elsevier
Nuclear reactors are vital to the global economy due to the large amounts of baseload
power they can provide with minimal intermittence. However, these reactors are extremely …

Metode K-Means Dalam Pemetaan Penyebaran Pamsimas

ED Pratomo, T Irawati, WLY Saptomo - Jurnal Teknologi Informasi …, 2020 - p3m.sinus.ac.id
2.2. Metode K-Means Data Clustering merupakan salah satu metode Data Mining yang
bersifat tanpa arahan (unsupervised). K-Means merupakan salah satu metode data …

[PDF][PDF] Criticality Maximization in Nuclear Reactors: A Fuel Saving Approach through Genetic Algorithms

AR Martins, CB Batista, JML Moreira, PCR Rossi… - sba.org.br
Maximizing criticality in nuclear reactors is related to the optimization of a fundamental
parameter in the design of a reactor fuel element, representing a significant challenge in …

[PDF][PDF] Combinatorial optimization of double-layered filtration media for higher performance

J Gorle - researchgate.net
For a mechanical filter to offer a better performance, in addition to a higher filtration
efficiency, it must produce an improved dirt holding capacity and lower pressure drop across …