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Weitersagen:


Herausgeber: 
  • Paulo Novais
  • Sigeru Omatu
  • Mohd Saberi Mohamad
  • Enrique Díaz-Plaza Sanz
  • José Alberto García Coria
  • Distributed Computing and Artificial Intelligence, Special Sessions II, 15th International Conference 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Juni 2019  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Artificial Intelligence / C / Computational Intelligence / DCAI2018 / engineering
    ISBN:  9783030005238 
    EAN-Code: 
    9783030005238 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #802 - Advances in Intelligent Systems and Computing  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  131 gr 
    Seiten:  66 
    Illustration:  VIII, 63 p. 24 illus., 23 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book addresses a broad range of topics, from newly proposed techniques in Artificial Intelligence (AI) and Machine Learning to various applications such as decision-making, pattern classification for data, image and signals, robotics, and control systems. Big data applications are discussed, while improved methods and wholly new methods for using deep learning technologies are also presented. The topics covered are comprehensive and reflect a wide range of technologies in the area. In particular, the latest methods in deep learning approaches and applications are discussed in many parts of the book, providing a better understanding of these new technologies. The book's general scope includes the latest methods in the areas of Artificial Intelligence and Machine Learning for use in distributed computing as well as decision support systems. As the book covers a rather wide area, its intended readership ranges from those working in AI and machine learning technologies to those working on applications utilizing these technologies, researchers new to these areas who need background information on the technologies and applications, and more experienced researchers looking for new methods and applications.

      



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