Machine learning for complex and unmanned systems /

"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 o...

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Bibliographic Details
Corporate Author: Taylor & Francis
Other Authors: Tlelo-Cuautle, Esteban (Editor), Martinez-Carranza, Jose (Editor), Inzunza-Gonzalez, Everardo (Editor), Efrén García-Guerrero, Enrique (Editor)
Format: eBook
Language:English
Published: Boca Raton, FL ; Abingdon, Oxon : CRC Press, 2024.
Edition:First edition.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:"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"--
Physical Description:1 online resource (xvii, 367 pages) : illustrations (some color)
Bibliography:Includes bibliographical references and index.
ISBN:9781003385615
1003385613
9781003827467
1003827462
9781003827436
1003827438