For several industries, the traditional manufacturing processes are time-consuming and
uneconomical due to the absence of the right tool to produce the products. In a couple of …

Advancement in technology has created wide opportunities for the researchers to utilize
artificial intelligence in various fields. Numerous attempts have been made in the use of …

Floods are among the deadliest natural hazards for humans and the environment.
Identifying the most flood-susceptible areas is a fundamental step in the development of …

The problem of fuel reloading optimization is very demanding, which requires to search for
the optimal suitable core configuration within a very huge solution space. To solve this …

Nuclear reactor fuel reloading optimization is a hot issue in the field of nuclear engineering.
With the reasonable rearrangement of fuel assemblies in a reactor core, the nuclear fuel …

This study proposes a novel approach combining Machine Learning (ML) techniques and
Genetic Algorithms (GA) for predicting High-Performance Computing (HPC) job run times …

To improve the marketability of novel microreactor designs, there is a need for automated
and optimal control of these reactors. This paper presents a methodology for performing …

Soft Computing (SC) is defined as a group of computational techniques that solve complex
problems independent of mathematical models. SC techniques including artificial neural …

Bearing fault diagnosis is of great significance to ensure the safe operation of mechanical
equipment. This paper proposes an intelligent fault diagnosis method of rolling bearings …

Small modular pressurized water reactors have the advantages of small size, modularity,
inherent and passive safety, and flexible power generation for a wider range of users and …