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Herausgeber: 
  • Matthew He
  • Sergey Petoukhov
  • Zhengbing Hu
  • Felix Yanovsky
  • Advances in Computer Science for Engineering and Manufacturing 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  April 2022  
    Genre:  Naturwissensch., Medizin, Technik 
     
    ArtificialIntelligence / ComputationalIntelligence / computerscience / engineering / ICAILE2022 / InformationSystems / ISEM2021 / Künstliche Intelligenz (KI)
    ISBN:  9783031038761 
    EAN-Code: 
    9783031038761 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 22 mm 
    Gewicht:  604 gr 
    Seiten:  400 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    The book¿s general scope covers the latest advances in the development of artificial intelligence systems and their applications in engineering and manufacturing. The book comprises refereed papers presented at the International Symposium on Engineering and Manufacturing (ISEM2021), held in Kyiv, Ukraine, on December 24¿26, 2021.
    Given the rapid development of artificial intelligence systems, the book emphasizes the need for the intensification of training of a growing number of relevant specialists, in particular in engineering and manufacturing, to increase the effectiveness of the creation and diagnosis of appropriate technical solutions. In digital artificial intelligence systems, scientists endeavor to reproduce the innate intellectual abilities of humans and other organisms. In-depth studies of biological and self-organizing systems can provide new approaches to create more and more effective artificial intelligence methods. The topics of the included papers concern thematic materials in the following spheres: mathematics and computer algorithms; analysis of some technical solutions; technological. The book is a compilation of state-of-the-art papers in the field, covering a comprehensive range of subjects that are relevant to business managers and engineering professionals alike. The breadth and depth of these proceedings make them an excellent resource for asset management practitioners, researchers, and academics, as well as undergraduate and postgraduate students interested in artificial intelligence systems and their growing applications. Specialists, students, and other groups of people who want to know how artificial intelligence systems can be used in the future will be the target audience for this book.

      



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