DLUS-2020: Deep Learning for Unmanned Systems |
Website | https://www.riotu-lab.org/dlus/ |
Submission link | https://easychair.org/conferences/?conf=dlus2020 |
Abstract registration deadline | April 30, 2020 |
Submission deadline | July 31, 2020 |
Call for Book Chapters
Submission deadline: July 31, 2020
Deep Learning for Unmanned Systems
Series Title: Studies in Computational Intelligence by Springer-Verlag, Germany
h-index = 40(Indexed in: Web of Science, EI-Compendex, DBLP, SCOPUS, Google Scholar and SpringerLink)
Book Editors
Prof. Anis Koubaa
Prince Sultan University, Saudi Arabia /CISTER Research Center (Portugal)/Gaitech Robotics (China)
Email: akoubaa@psu.edu.sa
Prof. Ahmad Taher Azar, PhD, IEEE senior Member, ISA Member, IFAC member
Prince Sultan University, Saudi Arabia;
Faculty of Computers and Artificial Intelligence, Benha University, Egypt
Email: aazar@psu.edu.sa
Objective Of The Book
The main reason of editing this book is the increasing demand for Deep learning (DL), unmanned systems (USs) and the exponential growth and evolution of USs in the last couple of years. This book seeks to investigate the latest Deep learning applications in theoretical and practical fields of for any unmanned system, robot, drone, underwater, ...etc. The book discusses different applications of DL in drones where CI methods have excellent potentials for use. Both novice and expert readers should find this book a useful reference in the field of Computational Intelligence, Deep learning and unmanned systems.
List of Topics
Suggested topics include (but are not limited to) the following:
- Artificial Intelligence for unmanned systems
- Biologically Inspired USs
- Computer vision
- Control systems
- Deep leaning
- Deep Reinforcement Learning.
- Drones Evolutionary computing
- Expert Systems
- Hybrid intelligent systems
- Internet-of-Drones
- Navigation and Path Planning
- Process control
- Reinforcement Learning based control of UAVs
- Robotics
- Sensor Fusion
- Unmanned Aerial systems (UAS)
- UAS Communications
- Underwater Robots
Submission Procedure
Researchers and practitioners are invited to submit before June 30, 2020 a 1-3 page chapter proposal abstract clearly explaining the mission and concerns of the proposed chapter. Abstract can be submitted anytime and will be evaluated shortly to provide an early feedback to the authors. This helps as a registration of the chapter for the final submission. Submission of abstracts must be done through EasyChair system Authors of accepted proposals will be notified about the status of their proposals and sent chapter guidelines. Full chapters must be submitted by July 31, 2020 through EasyChair system. The Chapter should not exceed 50 pages with respect to Springer format. All submitted chapters will be reviewed on a single-blind review basis. Contributors may also be requested to serve as reviewers for this project.
Publication
DLUS-2020 proceedings will be published in Studies in Computational Intelligence series by Springer
Contact
All questions about submissions should be emailed to aazar@psu.edu.sa, akoubaa@psu.edu.sa