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Bag om Sustainable Advanced Computing

This volume presents select proceedings of the International Conference on Sustainable Advanced Computing (ICSAC ¿ 2021). It covers the latest research on a wide range of topics spanning theory, systems, applications, and case studies in advanced computing. Topics covered are machine intelligence, expert systems, robotics, natural language processing, cognitive science, quantum computing, deep learning, pattern recognition, human-computer interface, biometrics, graph theory, etc. The volume focuses on the novel research findings and innovations of various researchers. In addition, the book will be a promising solution for new generation-based sustainable, intelligent systems that are machine and human-centered with modern models and appropriate amalgamations of collaborative practices with a general objective of better research in all aspects of sustainable advanced computing.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9789811690112
  • Indbinding:
  • Hardback
  • Sideantal:
  • 704
  • Udgivet:
  • 31. marts 2022
  • Udgave:
  • 22001
  • Størrelse:
  • 160x41x241 mm.
  • Vægt:
  • 1337 g.
  • 8-11 hverdage.
  • 20. november 2024
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- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
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Beskrivelse af Sustainable Advanced Computing

This volume presents select proceedings of the International Conference on Sustainable Advanced Computing (ICSAC ¿ 2021). It covers the latest research on a wide range of topics spanning theory, systems, applications, and case studies in advanced computing. Topics covered are machine intelligence, expert systems, robotics, natural language processing, cognitive science, quantum computing, deep learning, pattern recognition, human-computer interface, biometrics, graph theory, etc. The volume focuses on the novel research findings and innovations of various researchers. In addition, the book will be a promising solution for new generation-based sustainable, intelligent systems that are machine and human-centered with modern models and appropriate amalgamations of collaborative practices with a general objective of better research in all aspects of sustainable advanced computing.

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