We are pleased to announce the call for chapters for the Springer Book on Deep Learning for Unmanned Systems.
- Abstract Due: July 01, 2020
- Full Chapters Due: August 31, 2020
The main reason for editing this book is the increasing demand for Deep learning (DL), unmanned systems (USs), and their exponential growth and evolution in the last couple of years. This book seeks to investigate the latest Deep learning applications in theoretical and practical fields for any unmanned system, self-driving cars, robots, drones, underwater, etc. The book discusses different applications of deep learning in drones where computational intelligence 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.
Suggested topics include (but are not limited to) the follow ing :
- Deep learning for unmanned systems
- Deep learning with Biologically Inspired USs
- Deep learning with Computer vision
- Deep learning with Control systems
- Deep Reinforcement Learning.
- Deep learning for Drone applications
- Hybrid Deep learning systems
- Navigation and Path Planning based Deep learning
- Process control based Deep learning
- Reinforcement Learning based control of UAVs
- Deep learning for Robotic applications
- Deep learning for Unmanned Aerial systems (UAS)
- Deep learning for UAS Communications
Researchers and practitioners are invited to submit before July 01, 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 August 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.