This review covers the vast field of machine learning (ML), and relates to weak artificial
intelligence. It includes the taxonomy of ML algorithms, setup diagram of machine learning …

There are promising prospects on the way to widespread use of AI, as well as problems that
need to be overcome to adapt AI&ML technologies in industries. The paper systematizes the …

The nuclear decay of uranium is one of the cleanest ways to meet the growing energy
demand. The uranium needed for power plants is mainly extracted by two methods in …

Based on statistics from the World Nuclear Association, Kazakhstan has the highest uranium
production in the world. Most of the uranium in the country is mined via in-situ leaching and …

Machine learning algorithms are widely used in classification problems. Certainly,
recognition quality of algorithms is important indicator, but the ability of the algorithm to learn …

Machine learning (ML) methods are nowadays widely used to automate geophysical study.
Some of ML algorithms are used to solve lithological classification problems during uranium …

A program that provides the task of classifying electric log data using machine learning
methods is described. The program, after the training phase, allows one to automatically …

The problem of development of system for monitoring renewable energy sources (RES) in
the Republic of Kazakhstan is discussed. New information and communication technologies …

Control of the status of the country's resources allows making reasonable decisions both in
the field of state regulation, and for the benefit of sustainable and safe development of the …

Аннотация Неучет зон пластового окисления (ЗПО) при планировании добычи урана
методом подземного скважинного выщелачивания является одной из основных причин …