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Intelligent systems and machine learning for industry : advancements, challenges and practices / edited by P.R Anisha

Contributor(s): Material type: TextTextSeries: Computational methods for industrial applicationsPublication details: London, CRC Press : 2023.Description: 347 pISBN:
  • 9781032261447
Subject(s): DDC classification:
  • 670 23
Summary: "The text discusses models related to smart automation in the manufacturing processes and early warning detection systems using machine intelligence. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields such as electrical, electronics and communication, computer, and information technology"--
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Holdings
Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Computer Science Dept. of Computer Science 670 INT (Browse shelf(Opens below)) Available DCS5155

Includes bibliographical references and index.

"The text discusses models related to smart automation in the manufacturing processes and early warning detection systems using machine intelligence. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields such as electrical, electronics and communication, computer, and information technology"--

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