Pattern Recognition Applications in Engineering (Advances in Computer and Electrical Engineering (Acee))

The implementation of data and information analysis has become a trending solution within multiple professions. New tools and approaches are continually being developed within data analysis to further solve the challenges that come with professional strategy. Pattern recognition is an innovative method that provides comparison techniques and defines new characteristics within the information acquisition process. Despite its recent trend, a considerable amount of research regarding pattern recognition and its various strategies is lacking. Pattern Recognition Applications in Engineering is an essential reference source that discusses various strategies of pattern recognition algorithms within industrial and research applications and provides examples of results in different professional areas including electronics, computation, and health monitoring. Featuring research on topics such as condition monitoring, data normalization, and bio-inspired developments, this book is ideally designed for analysts; researchers; civil, mechanical, and electronic engineers; computing scientists; chemists; academicians; and students.

Diego Alexander Tibaduiza Burgos received his Electronic Engineer Degree from the Industrial University of Santander, Colombia in 2003, the M.Sc. degree in 2006 from the same university and his Doctoral Degree in 2013 from the Universitat Politècnica de Catalunya in Barcelona, Spain. He is the author and coauthor of more than 80 publications in journals, conferences, books and chapter books. Currently, Dr. Tibaduiza is a titular professor in the Faculty of Electronics Engineering at the Universidad Santo Tomás in Bogotá, Colombia. His research interest includes Structural Health Monitoring, Artificial Intelligence, Control Systems, Robotics and Signal Processing.