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Machine Learning, Image Processing, Network Security and Data Sciences edited by Rajesh Doriya, Badal Soni, Anupam Shukla, Xiao-Zhi Gao. [electronic resource] :

Contributor(s): Material type: TextTextPublication details: Singapore Springer Nature Singapore 2023Edition: 1st ed. 2023Description: XVIII, 913 p. 410 illus., 331 illus. in color. online resourceISBN:
  • 9789811958687
Subject(s): DDC classification:
  • 6.3
Online resources: Summary: This book constitutes the refereed proceedings of the Third International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2021. The papers are organized according to the following topical sections: data science and big data; image processing and computer vision; machine learning and computational intelligence; network and cybersecurity. This book aims to develop an understanding of image processing, networks, and data modeling by using various machine learning algorithms for a wide range of real-world applications. In addition to providing basic principles of data processing, this book teaches standard models and algorithms for data and image analysis. .
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Item type Home library Call number Status Notes Date due Barcode Item holds
e-Book e-Book S. R. Ranganathan Learning Hub Online Available Platform:Springer EB1937
Total holds: 0

This book constitutes the refereed proceedings of the Third International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2021. The papers are organized according to the following topical sections: data science and big data; image processing and computer vision; machine learning and computational intelligence; network and cybersecurity. This book aims to develop an understanding of image processing, networks, and data modeling by using various machine learning algorithms for a wide range of real-world applications. In addition to providing basic principles of data processing, this book teaches standard models and algorithms for data and image analysis. .

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