Machine learning techniques provide cost-effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information ...

This article presents the experimental analysis of a rotary machine, Universal Motor Analysis; analysis that obeys the purpose of obtaining the almost perfect understanding of the electromechanical behavior of said unit ...

Currently, due to the global shortage of water, the use of reclaimed water from the Wastewater Treatment Plants (WWTPs) for the irrigation of crops is an alternative in areas with water scarcity. However, the use of this ...

Machine learning is one of the most important subfields of computer science and can be used to solve a variety of interesting artificial intelligence problems. There are different languages, framework and tools to define ...

In recent years, permanent magnet synchronous machines (PMSM) have gained popularity owing to their excellent performance compared with other kinds of electrical machines in numerous applications. Furthermore, advances in ...

In the current computer environment, the waste of computer resources by poor utilization is often unacceptable. Virtualization shows itself as an effective alternative to a better resources usage by the consolidation of ...