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Applications of Mathematical Modeling, Machine Learning, and Intelligent Computing for Industrial Development (Smart Technologies for Engineers and Scientists)

By: Dinesh K Sharma (Edited by) , H.S. Hota (Edited by) , Madhu Jain (Edited by) , Rakhee Kulshrestha (Edited by)

Manufacture on Demand

Ksh 40,550.00

Format: Hardback or Cased Book

ISBN-10: 1032392649

ISBN-13: 9781032392646

Collection / Series: Smart Technologies for Engineers and Scientists

Collection Type: Publisher collection

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Jun 7th, 2023

Publication Status: Active

Product extent: 404 Pages

Weight: 740.00 grams

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  • Description

  • Reviews

The text presents emerging real-life topics on mathematical models, machine learning, and intelligent computing in a single volume. It will serve as an ideal text for senior undergraduate, graduate students, and researchers in diverse fields domains including industrial and manufacturing engineering, computer engineering, and mathematics.

The text focuses on mathematical modeling and applications of advanced techniques of machine learning, and artificial intelligence, including artificial neural networks, evolutionary computing, data mining, and fuzzy systems to solve performance and design issues more precisely. Intelligent computing encompasses technologies, algorithms, and models in providing effective and efficient solutions to a wide range of problems, including the airport’s intelligent safety system. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in fields that include industrial engineering, manufacturing engineering, computer engineering, and mathematics.

The book:

  • Discusses mathematical modeling for traffic, sustainable supply chain, vehicular Ad-Hoc networks, and internet of things networks with intelligent gateways
  • Covers advanced machine learning, artificial intelligence, fuzzy systems, evolutionary computing, and data mining techniques for real- world problems
  • Presents applications of mathematical models in chronic diseases such as kidney and coronary artery diseases
  • Highlights advances in mathematical modeling, strength, and benefits of machine learning and artificial intelligence, including driving goals, applicability, algorithms, and processes involved
  • Showcases emerging real-life topics on mathematical models, machine learning, and intelligent computing using an interdisciplinary approach

The text presents emerging real-life topics on mathematical models, machine learning, and intelligent computing in a single volume. It will serve as an ideal text for senior undergraduate students, graduate students, and researchers in diverse fields, including industrial and manufacturing engineering, computer engineering, and mathematics.


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