Meta-heuristic algorithms are often inspired by natural phenomena, including the evolution
of species in Darwinian natural selection theory, ant behaviors in biology, flock behaviors of …

This paper presents an emergence of an Artificial Neural Network (ANN) as a tool for
analysis of different parameters of a system. An Artificial Neural Network (ANN) is an …

Traditional methods of evaluating the performance of journal bearings, for example thermal-
elastic-hydrodynamic-lubrication theory, are limited to simplified conditions that often fail to …

The prediction of future events based on available time series measurements is a relevant
research area specifically for healthcare, such as prognostics and assessments of …

Self‐learning process is an important factor that enables learners to improve their own
educational experiences when they are away of face‐to‐face interactions with the teacher. A …

Reducing friction losses is one of the most common ways to improve fluid film bearings,
whose adjustable design provides additional opportunities to improve their dynamic and …

Increase of energy efficiency and level of information system development of rotor machines
in general requires improvement of theoretical approaches to research. In the present paper …

This paper aims to study and demonstrate the possibilities of using reinforcement learning
for the synthesis of multi-objective controllers for radial actively lubricated hybrid fluid film …

Utilization of smart systems, ie software tools that incorporate artificial intelligence (AI), in
engineering applications increases. This fact is due to their ability to study the performance …

This investigation focus on the influence of process parameters on the performance of
journal bearing. The process parameters and their range of values such as variance ratio (0 …