Machine Learning For Complex And Unmanned Systems

✍ Scribed by Esteban Tlelo-Cuautle, Jose Martinez-Carranza, Everardo Inzunza-Gonzalez, Enrique Efrén García-Guerrero

Publisher: CRC Press
Year: 2024
Tongue: English
Leaves: 386
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

"This book highlights applications that include machine learning methods to enhance new developments in complex and unmanned systems. The main topics covered under this title include: machine learning, artificial intelligence, cryptography, submarines, drones, security in healthcare, Internet of Things and robotics. This book can be used by graduate students, industrial and academic professionals to revise real case studies in applying machine learning in the areas of modeling, simulation and optimization of complex systems, cryptography, electronics, healthcare, control systems, Internet of Things, security, and unmanned systems such as submarines, drones and robots"--

✦ Table of Contents

Cover
Half Title
Title Page
Copyright Page
Contents
Preface
About the Editors
Contributor
PART I: Machine Learning for Complex Systems
Chapter 1: Echo State Networks to Solve Classification Tasks
Chapter 2: Continual Learning for Camera Localization
Chapter 3: Classifying Ornamental Fish Using Deep Learning Algorithms
Chapter 4: Power Amplifier Modeling Comparison for Highly and Sparse Nonlinear Behavior
Chapter 5: Models and Methods for Anomaly Detection in Video Surveillance
Chapter 6: Deep Learning to Classify Pulmonary Infectious Diseases
Chapter 7: Memristor-based Ring Oscillators as Alternative for Reliable Physical Unclonable Functions
PART II: Machine Learning for Unmanned Systems
Chapter 8: Past and Future Data to Train an Artificial Pilot
Chapter 9: Optimization of UAV Flight Controllers for Trajectory Tracking
Chapter 10: Development of a Synthetic Dataset Using Aerial Navigation
Chapter 11: Coverage Analysis in Air-Ground Communications under Random Disturbances
Chapter 12: A Review of Noise Production and Mitigation in UAVs
Chapter 13: An Overview of NeRF Methods for Aerial Robotics
Chapter 14: Warehouse Inspection Using Autonomous Drones and Spatial AI
Chapter 15: Cognitive Dynamic Systems for Cyber-Physical Engineering
Chapter 16: EEG-Based Motor and Imaginary Movement Classification
References
Index

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