• Applying AI-based IoT systems to simulation-based information retrieval[electronic resource] /
  • Record Type: Electronic resources : Monograph/item
    [NT 15000414]: 004.67/8
    Title/Author: Applying AI-based IoT systems to simulation-based information retrieval/ Madhulika Bhatia, Surbhi Bhatia, Poonam Tanwar, and Kuljeet Kaur, editors.
    remainder title: Applying artificial-based Internet of things systems to simulation-based information retrieval
    other author: Bhatia, Madhulika,
    Published: Hershey, Pennsylvania : : IGI Global,, 2023.
    Description: 1 online resource (229 p.)
    Subject: Internet of things.
    Subject: Information visualization.
    Subject: Big data.
    Subject: Computer simulation.
    Subject: Artificial intelligence.
    ISBN: 9781668452561 (electronic bk.)
    ISBN: 1668452553
    ISBN: 9781668452554
    [NT 15000227]: Includes bibliographical references and index.
    [NT 15000228]: Chapter 1. A practical approach to visualizing different phases of project management using MSproject -- Chapter 2. Visualisation of blockchain concepts -- Chapter 3. Data analytics with selection of tools and techniques -- Chapter 4. AI in gaming and entertainment: applying artificial intelligence algorithms in a game -- Chapter 5. Applications of AI in computer-aided drug discovery -- Chapter 6. Nakhasys: an ML-based disease diagnosing application -- Chapter 7. IoT-based automatic boom barrier for enhancing surveillance security in public places -- Chapter 8. Health monitoring of polymer matrix composites using vibration technique -- Chapter 9. Lung cancer detection using deep learning techniques -- Chapter 10. Mechanism for crawling, filtering, and presenting opinionated content on online products to the customers.
    [NT 15000229]: "This reference book is for readers seeking to learn and enhance their knowledge in the field of IoT, Artificial Intelligence, Handling IoT issue using AI, Deep Learning, Machine Learning, and related other AI techniques"--
    Online resource: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-5255-4
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