Abstract Machine learning and data mining rely on feature selection to reduce the dimension
of data and increase the performance of algorithms. As a result of such a large search …

Fatigue detection is a critical application area for machine learning, and variable input data
have been utilized to detect fatigue. One of the most commonly used inputs for fatigue …

The topic of feature selection has become one of the hottest subjects in machine learning
over the last few years. The results of evolutionary algorithm selection have also been …

The use of modern automated control systems in the production of cathode copper provides
the possibility of remote access to resources for monitoring and regulating the parameters of …

As an important and necessary element in the assessment of students' English language
ability, translation is a comprehensive indicator of students' mastery and ability to use …

Copper electroforming units around the world use 316L stainless steel (SS) cathode blanks.
Cathodes play an essential role in the operating costs of high-purity copper production …

Аннотация Использование современных автоматизированных систем управления в
производстве катодной меди обеспечивает возможность удаленного доступа к …

The utilization of modern automated control systems in copper cathode production offers the
opportunity for remote access to control and regulate the electrolytic process parameters …