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Machine Learning for Complex and Unmanned Systems
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Machine Learning for Complex and Unmanned Systems Hardback - 2024

by Jose Martinez-Carranza (Editor); Everardo Inzunza-Gonzalez (Editor); Enrique Efren Garcia-Guerrero (Editor)

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From the publisher

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.

Details

  • Title Machine Learning for Complex and Unmanned Systems
  • Author Jose Martinez-Carranza (Editor); Everardo Inzunza-Gonzalez (Editor); Enrique Efren Garcia-Guerrero (Editor)
  • Binding Hardback
  • Pages 364
  • Volumes 1
  • Language ENG
  • Publisher CRC Press
  • Publication date 2024-02-21
  • Illustrated Yes
  • Features Bibliography, Illustrated
  • ISBN 9781032472249 / 1032472243
  • Weight 1.58 lbs (0.72 kg)
  • Dimensions 9.21 x 6.14 x 0.88 in (23.39 x 15.60 x 2.24 cm)
  • Category Computers - General Information
  • Library of Congress subjects Intelligent control systems, Machine learning - Industrial applications
  • Library of Congress Catalogue Number 2023034641
  • Dewey Decimal Code 629.865

About the author

Esteban Tlelo Cuautle received a B.Sc. degree from Instituto Tecnolgico de Puebla (ITP) Mxico in 1993. He then received both M.Sc. and Ph.D. degrees from Instituto Nacional de Astrofsica, ptica y Electrnica (INAOE), Mxico in 1995 and 2000, respectively. During 1995-2000 he was with the electronics-engineering department at ITP. In 2001 he was appointed as Professor-Researcher at INAOE. He has been Visiting Researcher in the department of Electrical Engineering at University of California Riverside, USA (2009-2010), in the department of Computer Science at CINVESTAV, Mxico City, Mxico (2016-2017), and Visiting Lecturer at University of Electronic Science and Technology of China (UESTC, Chengdu 2014-2019). He has authored 5 books, edited 12 books and more than 300 works published in book chapters, international journals and conferences. He is member in the National System for Researchers (SNI-CONACyT-Mxico). His research interests include integrated circuit design, optimization by metaheuristics, fractional-order chaotic systems, artificial intelligence, security in Internet of Things, and analog/RF and mixed-signal design automation tools.

Jose Martinez-Carranza is a Full-Time Principal Researcher B (equivalent to Associate Professor) in the Computer Science Department at the Instituto Nacional de Astrofisica Optica y Electronica (INAOE). In 2015, he was awarded the Newton Advanced Fellowship granted by the Newton Fund and the Royal Society in the UK. Currently, he holds an Honorary Senior Research Fellowship in the Computer Science Department at the University of Bristol in the UK. He leads a research team that has won international competitions such as 1st Place in the IEEE IROS 2017 Autonomous Drone Racing competition and 1st Place in the Regional Prize of the OpenCV AI Competition 2021. He also served as General Chair of the International Micro Air Vehicle conference, the IMAV 2021. In 2022, he joined the editorial board of the journal "Unmanned Systems". His research focuses on vision-based methods for robotics with applications in autonomous and intelligent drones.

Everardo Inzunza-Gonzalez received his Ph.D. degree in Electrical Sciences from UABC Mexico in 2013, and the M.Sc. degree in Electronics and Telecommunications from the Scientific Research and Advanced Studies Center of Ensenada (CICESE) in 2001, the B.Sc. degree in Electronics Engineering from Culiacan Institute of Technology, in 1999. He is currently a full-time Professor and Researcher of Electronics Engineering at Universidad Autnoma de Baja California (UABC-FIAD) Mexico. He is currently a reviewer for several prestigious journals. His research interest includes the Internet of things, Network Security, Data Science, Artificial Intelligence, Machine-Learning and Deep-Learning, Wireless Communication, Image Processing, WSN, Pattern Recognition, Wearable Devices, Embedded Systems, FPGA, SoC, Microcontrollers, Chaotic encryption, Image encryption, Image enhancement, Image processing, Chaotic oscillators and Applied Cryptography.

Enrique Efren Garca-Guerrero studied physics engineering at the University Autonomous Metropolitana, Mexico, and received the PhD and M.Sc. degree in optical physics from the Scientic Research and Advanced Studies Center of Ensenada (CICESE) Mexico. He has been with the Facultad de Ingeniera, Arquitectura y Diseo of the Universidad Autnoma de Baja California (UABC-FIAD) Mexico since 2004. His current research interest includes Image enhancement, embedded systems, chaotic cryptography, artificial intelligence, machine-learning, deep-learning, neural networks, digital image processing and optical systems.

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Machine Learning for Complex and Unmanned Systems
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Machine Learning for Complex and Unmanned Systems

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Machine Learning for Complex and Unmanned Systems
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Machine Learning for Complex and Unmanned Systems

by Martinez-carranza, Jose (Editor)/ Inzunza-gonzalez, Everardo (Editor)/ Garcia-guerrero, Enrique Efren (Editor)/ Tlelo-cuautle, Esteban (Editor)

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