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Data-Driven Systems and Intelligent Applications

By: (Edited by) Alessandro Bruno , (Edited by) Harish Garg , (Edited by) Mangesh M. Ghonge , (Edited by) N. Krishna Chaitanya , (Edited by) Pradeep N

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Ksh 15,300.00

Format: Hardback or Cased Book

ISBN-10: 1032445963

ISBN-13: 9781032445960

Series: Intelligent Data-Driven Systems and Artificial Intelligence

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Oct 9th, 2024

Print length: 180 Pages

Weight: 421 grams

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This book comprehensively discusses basic data-driven intelligent systems, the methods for processing the data, and cloud computing with artificial intelligence. It presents fundamental and advanced techniques used for handling large user data, and for the data stored in the cloud.

This book comprehensively discusses basic data-driven intelligent systems, the methods for processing the data, and cloud computing with artificial intelligence. It presents fundamental and advanced techniques used for handling large user data, and for the data stored in the cloud. It further covers data-driven decision-making for smart logistics and manufacturing systems, network security, and privacy issues in cloud computing.

This book:

  • Discusses intelligent systems and cloud computing with the help of artificial intelligence and machine learning.
  • Showcases the importance of machine learning and deep learning in data-driven and cloud-based applications to improve their capabilities and intelligence.
  • Presents the latest developments in data-driven and cloud applications with respect to their design and architecture.
  • Covers artificial intelligence methods along with their experimental result analysis through data processing tools.
  • Presents the advent of machine learning, deep learning, and reinforcement technique for cloud computing to provide cost-effective and efficient services.

The text will be useful for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer engineering, manufacturing engineering, and production engineering.


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