Open access peer-reviewed Edited Volume

Advances in Deep Learning

Marco Antonio Aceves-Fernandez

Universidad Autonoma de Queretaro


Deep Learning Deep Networks Deep Convolutional Networks Machine Learning Applications Trends of Deep Learning Artificial Learning Pattern Recognition with DL Object Detection Pattern Learning

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About the book

Artificial Intelligence (AI) has attracted attention by many researchers and users alike and is taking an increasingly crucial role in our modern society. From cars, smartphones, airplanes, medical equipment, consumer applications, industrial machines, among others, 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, which has played a crucial role in the growth of AI. The ability of machine to demonstrate advanced skills in making decisions, learn, perceive the environment, predict certain behavior, process written or spoken languages, recognize patterns and act in consequence, among other skills that require high precision, makes this discipline of paramount importance in today´s world. Although Deep Learning is changing the world for the better in many areas, it also comes with its challenges.

This book encompasses the new techniques, applications, challenges and opportunities in this fascinating area.

Publishing process

Book initiated and editor appointed

Date completed: October 24th 2019

Applications to edit the book are assessed and a suitable editor is selected, at which point the process begins.

Chapter proposals submitted and reviewed

Deadline Extended: Open for Submissions

Potential authors submit chapter proposals ready for review by the academic editor and our publishing review team.

Approved chapters written in full and submitted

Deadline for full chapters: January 13th 2020

Once approved by the academic editor and publishing review team, chapters are written and submitted according to pre-agreed parameters

Full chapters peer reviewed

Review results due: April 2nd 2020

Full chapter manuscripts are screened for plagiarism and undergo a Main Editor Peer Review. Results are sent to authors within 30 days of submission, with suggestions for rounds of revisions.

Book compiled, published and promoted

Expected publication date: June 1st 2020

All chapters are copy-checked and typesetted before being published. IntechOpen regularly submits its books to major databases for evaluation and coverage, including the Clarivate Analytics Book Citation Index in the Web of ScienceTM Core Collection. Other discipline-specific databases are also targeted, such as Web of Science's BIOSIS Previews.

About the editor

Marco Antonio Aceves-Fernandez

Universidad Autonoma de Queretaro

Dr. Marco A. Aceves-Fernandez obtained his BSc (Eng) in Telematics at the Universidad de Colima, Mexico. He obtained both his MSc and PhD at the University of Liverpool, England, in the field of Intelligent Systems. He is full professor at the Universidad Autonoma de Queretaro, Mexico. He has been 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 to more than 20 funded research projects, both academic and industrial, on artificial intelligence and its applications in fields such as environmental, biomedical, automotive, aviation, consumer, and robotics. He is also honorary president at the Mexican Association of Embedded Systems (AMESE), a senior member of the Institute of Electrical and Electronics Engineers (IEEE), and a board member for many institutions and associations. His research interests include intelligent and embedded systems.

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