The electroencephalogram (EEG) can reflect brain activity and contains abundant
information of different anesthetic states of the brain. It has been widely used for monitoring …

There is no doubt that the European Union is undergoing an ecological transition, with
renewable energies accounting for an increasing share of energy consumption in the …

This paper proposes a methodology for dealing with an issue of crucial practical importance
in real engineering systems such as fault detection and recovery of a sensor. The main goal …

Automatic control of physiological variables is one of the most active areas in biomedical
engineering. This paper is centered in the prediction of the analgesic variables evolution in …

Nowadays, the quality standards of higher education institutions pay special attention to the
performance and evaluation of the students. Then, having a complete academic record of …

Current trends in modern medicine are concerned with the development of the so-called
personalized medicine whose aim is tailoring of treatment to patients. The present research …

This work addresses the performance comparison between four clustering techniques with
the objective of achieving strong hybrid models in supervised learning tasks. A real dataset …

Batteries are one of the principal components in electric vehicles and mobile electronic
devices. They operate based on electrochemical reactions, which are exhaustively tested to …

This work focuses on the application of machine learning techniques to assist the clinicians
in the administration of analgesic drug during general anaesthesia. Specifically, the main …

Student performance and its evaluation remain a serious challenge for education systems.
Frequently, the recording and processing of students' scores in a specific curriculum have …