Artificial intelligence and optimizing techniques for smart information generations / edited by Aleem Ali, Rajdeep Chakraborty and Nawaf R. Alharbe.
Material type:
TextSeries: Future generation information systemsPublisher: Boca Raton, FL : CRC Press/Taylor & Francis Group, 2025Edition: First editionDescription: xiv, 303 pages illustrations 25 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781032717036; 9781032972589Subject(s): Artificial intelligence -- Industrial applications | Business information services | Medical informatics | Intelligent tutoring systemsDDC classification: 658.4/038028563 LOC classification: TA347 .A793 2025Summary: "The text discusses the importance of employing smart technologies such as artificial intelligence, and optimization techniques in the fields including transportation, manufacturing, communications, and healthcare. It further highlights the use of machine learning models for diverse tasks such as predictive maintenance, fraud detection, and forecasting. It covers smooth nonlinear optimization problems and optimization of accounting information systems for enterprises. It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, and computer science and engineering"-- Provided by publisher.
| Item type | Current library | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
Books
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Female Library | TA347 .A793 2025 (Browse shelf (Opens below)) | Available | 51952000266808 | |
Books
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Main Library | TA347 .A793 2025 (Browse shelf (Opens below)) | Available | 51952000266815 |
Includes bibliographical references and index.
"The text discusses the importance of employing smart technologies such as artificial intelligence, and optimization techniques in the fields including transportation, manufacturing, communications, and healthcare. It further highlights the use of machine learning models for diverse tasks such as predictive maintenance, fraud detection, and forecasting. It covers smooth nonlinear optimization problems and optimization of accounting information systems for enterprises. It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, and computer science and engineering"-- Provided by publisher.

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