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The Fourth Industrial Revolution and Beyond [electronic resource] : Select Proceedings of IC4IR+ /

Contributor(s): Material type: TextTextSeries: Lecture Notes in Electrical Engineering ; 980Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2023Edition: 1st ed. 2023Description: XXVI, 751 p. 408 illus., 353 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789811980329
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.3 23
LOC classification:
  • Q334-342
  • TA347.A78
Online resources:
Contents:
Introduction -- Artificial Intelligence for Transforming Industries -- Internet of Industrial Things -- Cloud Computing and Intelligent Communication for Industrial 4.0.
In: Springer Nature eBookSummary: The book constitutes selected peer-reviewed proceedings of the International Conference on the 4th Industrial Revolution and Beyond (IC4IR 2021). It focuses on the research trends, challenges, and future of artificial intelligence (AI). It explores the potential for the integration of advanced AI algorithms. The book addresses the challenges of Data Science for industrial applications in developing and under-developed countries and various security issues. It includes qualitative and quantitative research and provides case studies with working models. The book focuses on artificial intelligence and its applications for industry, innovation, and infrastructure. The book serves as a reference book for practitioners and researchers working in the areas of AI, soft computing, IoT, and data analytics.
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Introduction -- Artificial Intelligence for Transforming Industries -- Internet of Industrial Things -- Cloud Computing and Intelligent Communication for Industrial 4.0.

The book constitutes selected peer-reviewed proceedings of the International Conference on the 4th Industrial Revolution and Beyond (IC4IR 2021). It focuses on the research trends, challenges, and future of artificial intelligence (AI). It explores the potential for the integration of advanced AI algorithms. The book addresses the challenges of Data Science for industrial applications in developing and under-developed countries and various security issues. It includes qualitative and quantitative research and provides case studies with working models. The book focuses on artificial intelligence and its applications for industry, innovation, and infrastructure. The book serves as a reference book for practitioners and researchers working in the areas of AI, soft computing, IoT, and data analytics.

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