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Society 5.0 and the Future of Emerging Computational Technologies
  • Language: en
  • Pages: 313

Society 5.0 and the Future of Emerging Computational Technologies

  • Type: Book
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  • Published: 2022-06-07
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  • Publisher: CRC Press

This book discusses the technological aspects for the implementation of Society 5.0. The foundation and recent advances of emerging technologies such as artificial intelligence, data science, Internet of Things, and Big Data for the realization of Society 5.0 are covered. Practical solutions to existing problems, examples, and case studies are also offered. Society 5.0 and the Future of Emerging Computational Technologies: Practical Solutions, Examples, and Case Studies discusses technologies such as machine learning, artificial intelligence, and Internet of Things for the implementation of Society 5.0. It offers a firm foundation and understanding of the recent advancements in various domai...

Who's who in Finance and Industry
  • Language: en
  • Pages: 970

Who's who in Finance and Industry

  • Type: Book
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  • Published: 1991
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  • Publisher: Unknown

None

Foundations of Deep Learning
  • Language: en
  • Pages: 298

Foundations of Deep Learning

None

La Contaduria Publica: Estudio de Su Genesis Y de Su Evolucion Hasta Nuestros Dias
  • Language: es
  • Pages: 160
Better Homes and Gardens
  • Language: en
  • Pages: 730

Better Homes and Gardens

  • Type: Book
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  • Published: 1988
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  • Publisher: Unknown

None

L'Heritage
  • Language: en
  • Pages: 686

L'Heritage

  • Type: Book
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  • Published: 1991
  • -
  • Publisher: Unknown

None

Memoria 2004
  • Language: es
  • Pages: 1268

Memoria 2004

  • Type: Book
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  • Published: 2005
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  • Publisher: UNAM

None

Green Machine Learning Protocols for Future Communication Networks
  • Language: en
  • Pages: 249

Green Machine Learning Protocols for Future Communication Networks

  • Type: Book
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  • Published: 2023-10-25
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  • Publisher: CRC Press

Machine learning has shown tremendous benefits in solving complex network problems and providing situation and parameter prediction. However, heavy resources are required to process and analyze the data, which can be done either offline or using edge computing but also requires heavy transmission resources to provide a timely response. The need here is to provide lightweight machine learning protocols that can process and analyze the data at run time and provide a timely and efficient response. These algorithms have grown in terms of computation and memory requirements due to the availability of large data sets. These models/algorithms also require high levels of resources such as computing,...

Official Gazette
  • Language: en
  • Pages: 872

Official Gazette

  • Type: Book
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  • Published: 1966
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  • Publisher: Unknown

None

Bibliographic Guide to Law
  • Language: en
  • Pages: 528

Bibliographic Guide to Law

  • Categories: Law
  • Type: Book
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  • Published: 1987
  • -
  • Publisher: Unknown

None