rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Machine learning for complex and unmanned systems
  name:
    name part: Tlelo-Cuautle, Esteban
    role:
      role term: editor.
  name:
    name part: Martinez-Carranza, Jose
    role:
      role term: editor.
  name:
    name part: Inzunza-Gonzalez, Everardo
    role:
      role term: editor.
  name:
    name part: Efrén García-Guerrero, Enrique
    role:
      role term: editor.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2024
    copyright date: 2024
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xvii, 367 pages) : illustrations (some color)
  abstract: "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: Echo state networks to solve classification tasks / Luis Gerardo de la Fraga, Astrid Maritza Gonzalez-Zapata, and Andres Cureno Ramirez -- Continual learning for camera localisation / Aldrich A. Cabrera-Ponce, Manuel Martin-Ortiz and Jose Martinez-Carranza -- Classifying ornamental fish using deep learning algorithms / O.A. Aguirre-Castro, E. Inzunza-Gonzalez, O.R. Lopez-Bonilla, U.J. Tamayo-Perez, E.E. Garcia-Guerrero, and D.A. Trujillo Toledo -- Power amplifier modeling comparison for highly and sparse nonlinear behavior / J.A. Galaviz-Aguilar, C. Vargas-Rosales, D.S. Aguila-Torres, and J.R. Cardenas-Valdez -- Models and methods for anomaly detection in video surveillance / Ernesto Cruz-Esquivel and Zobeida J. Guzman-Zavaleta -- Deep learning to classify pulmonary infectious diseases / Dora-Luz Flores, Ricardo Perea-Jacobo, Miguel Angel Chevannier Guerrero, Rafael Gonzalez-Landaeta, and Raquel Muniz-Salazar -- Memristor-based ring oscillators as alternative for reliable / Joseph Herbert Mitchell-Moreno, Guillermo Espinosa FloresVerdad, and Arturo Sarmiento-Reyes -- Past and future data to train an artificial pilot / L. Oyuki Rojas-Perez, Alejandro Gutierrez-Giles, Jose Martinez Carranza -- Optimization of UAV flight controllers for trajectory tracking / Jonathan Daniel Diaz-Munoz, Oscar Martinez-Fuentes, and Israel Cruz-Vega -- Development of synthetic dataset using aerial navigation / J.M. Fortuna-Cervantes, M.T. Ramirez-Torres, M. Mejia-Carlos, and J. Martinez-Carranza -- Coverage analysis in air-ground communications under random disturbances / Esteban Tlelo-Coyotecatl, Giselle Monserrat Galvan-Tejada, and Manuel Mauricio Lara-Barron -- A review of noise production and mitigation in UAVs / Caleb Rascon and Jose Martinez-Carranza -- An overview of NeRF methods for aerial robotics / Luis Fernando Rosas-Ordaz, Leticia Oyuki Rojas-Perez, Cesar Martinez-Torres, and Jose Martinez-Carranza -- Warehouse inspection using autonomous drones and spatial AI / Jose Martinez-…
  note: edited by Jose Martinez-Carranza, Everardo Inzunza-Gonzalez, Enrique Efren Garcia-Guerrero and Esteban Tlelo-Cuautle.
  note: Includes bibliographical references and index.
  note: Esteban Tlelo Cuautle received a B.Sc. degree from Instituto Tecnologico de Puebla (ITP) Mexico in 1993. He then received both M.Sc. and Ph.D. degrees from Instituto Nacional de Astrofisica, Optica y Electronica (INAOE), Mexico 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, Mexico City, Mexico (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-Mexico). 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"…
  subject:
    topic: Intelligent control systems
  subject:
    topic: Machine learning
    topic: Industrial applications
  subject:
    topic: Commande intelligente
  subject:
    topic: Apprentissage automatique
    topic: Applications industrielles
  classification: TJ217.5 .M33 2024
  classification: 629.8/65631
  related item:
    title info:
      title: Machine learning for complex and unmanned systems
    origin info:
      publisher: Boca Raton FL : CRC Press, 2024
      edition: First edition.
    identifier: (DLC) 2023034641
  identifier: 9781003385615
  identifier: 1003385613
  identifier: 9781003827467
  identifier: 1003827462
  identifier: 9781003827436
  identifier: 1003827438
  identifier: 9781032472249
  identifier: 9781032473307
  identifier: 2023034642
  identifier: 9781003385615 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 231223
    record change date: 20241108170138.2
    record identifier: in00005523973
    language of cataloging:
      language term: eng