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Universidad Autonoma de Queretaro

Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects both academic and industrial in the area of artificial intelligence ranging from environmental, biomedical, automotive, aviation, consumer, robotics, among other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE and a board member for many institutions. His research interests include intelligent and embedded systems.,8 xxx teen


Artificial Intelligence (AI) has attracted the attention of researchers and users alike and is taking an increasingly crucial role in our modern society. From cars, smartphones, and airplanes to medical equipment, consumer applications, and industrial machines, the impact of AI is notoriously changing the world we live in. In this context, Deep Learning (DL) is one of the techniques that has taken the lead for cognitive processes, pattern recognition, object detection, and machine learning, all of which have played a crucial role in the growth of AI. As such, this book examines DL applications and future trends in the field. It is a useful resource for researchers and students alike.,hiddencam

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