This study presents a comprehensive review of the impact of artificial intelligence (AI) and
machine learning (ML) on enhancing energy efficiency, particularly in the context of …

Real-time systems are widely used in industry, including technological process control
systems, industrial automation systems, SCADA systems, testing, and measuring equipment …

The research and development reported here is part of the Technology Enabled Risk-
Informed Maintenance Strategy project sponsored by the US Department of Energy's Light …

The domestic nuclear power plant fleet has relied on labor-intensive and time-consuming
preventive maintenance programs, thus driving up operation and maintenance costs to …

The paper considers the main methods of machine learning for unmanned aerial vehicle
(drone) routing, simulates an environment for testing the flight of a drone, as well as a model …

Nuclear power plants collect and store large volumes of heterogeneous data from various
components and systems. With recent advances in machine learning (ML) techniques, these …

This paper provides an analytical review of the subject area, approaches and methods for
real-time control systems with application of the machine learning. The review helps to …

Coronavirus or COVID-19 is a widespread pandemic that has affected almost all countries
around the globe. The quantity of infected cases and deceased patients has been …

The global pandemic has affected all areas of life. Scientifically based management
decisions to reduce epidemic morbidity not only increase their efficiency, but also save costs …

The COVID-19 pandemic has affected all areas of human activity around the world. Public
health systems have shown their unpreparedness for a pandemic of this magnitude. An …