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Artificial Intelligence Theory, Models, and Applications
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Artificial Intelligence Theory, Models, and Applications

Book Details

Format Paperback / Softback
ISBN-10 1032106131
ISBN-13 9781032106137
Publisher Taylor & Francis Ltd
Imprint Auerbach
Country of Manufacture GB
Country of Publication GB
Publication Date Mar 12th, 2025
Print length 480 Pages
Weight 940 grams
Ksh 10,650.00
Werezi Extended Catalogue 0 in stock

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This book covers advances that have emerged over the last two decades of AI research. Examining both theoretical and practical aspects, it presents applications of AI in such various domains as policy management, medical imaging, agriculture, technology education, business, and healthcare   It also covers machine learning techniques.

This book examines the fundamentals and technologies of Artificial Intelligence (AI) and describes their tools, challenges, and issues. It also explains relevant theory as well as industrial applications in various domains, such as healthcare, economics, education, product development, agriculture, human resource management, environmental management, and marketing. The book is a boon to students, software developers, teachers, members of boards of studies, and researchers who need a reference resource on artificial intelligence and its applications and is primarily intended for use in courses offered by higher education institutions that strive to equip their graduates with Industry 4.0 skills.

FEATURES:

  • Gender disparity in the enterprises involved in the development of AI-based software development as well as solutions to eradicate such gender bias in the AI world
  • A general framework for AI in environmental management, smart farming, e-waste management, and smart energy optimization
  • The potential and application of AI in medical imaging as well as the challenges of AI in precision medicine
  • AI’s role in the diagnosis of various diseases, such as cancer and diabetes
  • The role of machine learning models in product development and statistically monitoring product quality
  • Machine learning to make robust and effective economic policy decisions
    • Machine learning and data mining approaches to provide better video indexing mechanisms resulting in better searchable results
  • ABOUT THE EDITORS:

    Prof. Dr. P. Kaliraj

    is Vice Chancellor at Bharathiar University, Coimbatore, India.

    Prof. Dr. T. Devi

    is Professor and Head of the Department of Computer Applications, Bharathiar University, Coimbatore, India.

     


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