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Deep Learning for Unmanned Systems

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Table of Contents

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    Book Overview
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    Chapter 1 Deep Learning for Unmanned Autonomous Vehicles: A Comprehensive Review
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    Chapter 2 Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment
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    Chapter 3 Reactive Obstacle Avoidance Method for a UAV
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    Chapter 4 Guaranteed Performances for Learning-Based Control Systems Using Robust Control Theory
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    Chapter 5 A Cascaded Deep Neural Network for Position Estimation of Industrial Robots
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    Chapter 6 Managing Deep Learning Uncertainty for Unmanned Systems
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    Chapter 7 Uncertainty-Aware Autonomous Mobile Robot Navigation with Deep Reinforcement Learning
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    Chapter 8 Deep Reinforcement Learning for Autonomous Mobile Networks in Micro-grids
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    Chapter 9 Reinforcement Learning for Autonomous Morphing Control and Cooperative Operations of UAV Cluster
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    Chapter 10 Bioinspired Robotic Arm Planning by $$\tau $$-Jerk Theory and Recurrent Multilayered ANN
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    Chapter 11 Deep Learning Based Formation Control of Drones
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    Chapter 12 Image-Based Identification of Animal Breeds Using Deep Learning
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    Chapter 13 Image Registration Algorithm for Deep Learning-Based Stereo Visual Control of Mobile Robots
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    Chapter 14 Search-Based Planning and Reinforcement Learning for Autonomous Systems and Robotics
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    Chapter 15 Playing Doom with Anticipator-A3C Based Agents Using Deep Reinforcement Learning and the ViZDoom Game-AI Research Platform
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    Chapter 17 Deep Reinforcement Learning for Quadrotor Path Following and Obstacle Avoidance
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    Chapter 18 Playing First-Person Perspective Games with Deep Reinforcement Learning Using the State-of-the-Art Game-AI Research Platforms
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    Chapter 19 Language Modeling and Text Generation Using Hybrid Recurrent Neural Network
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    Chapter 20 Detection and Recognition of Vehicle’s Headlights Types for Surveillance Using Deep Neural Networks
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    Chapter 21 Recent Advances of Deep Learning in Biology
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Title
Deep Learning for Unmanned Systems
Published by
Springer International Publishing, January 2021
DOI 10.1007/978-3-030-77939-9
ISBNs
978-3-03-077938-2, 978-3-03-077939-9
Editors

Anis Koubaa, Ahmad Taher Azar

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