Machine Learning, Image Processing, Network Security and Data Sciences / Lecture Notes in Electrical Engineering Bd.946 (PDF)
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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.
Anupam Shukla is working as Director at the Indian Institute of Information Technology, Pune. Before this, he was a founding Dean of Sponsored Research and Consultancy, Professor in the Department of Information and Communication Technology (ICT) at ABV-Indian Institute of Information Technology and Management (ABV-IIITM), Gwalior, and a visiting professor at Florida International University, USA, and Indian Institute of Management (IIM), Rohtak. He has 32 years of teaching and research
Xiao-Zhi Gao received his B.Sc. and M.Sc. degrees from the Harbin Institute of Technology, China, in 1993 and 1996, respectively. He obtained his D.Sc. (Tech.) degree from the Helsinki University of Technology (now Aalto University), Finland, in 1999. He has been working as a professor at the University of Eastern, Finland, since 2018. He has published over 450 technical papers in refereed journals and international conferences. His research interests are nature-inspired computing methods with their applications in optimization, data mining, machine learning, control, signal processing, and industrial electronics.
- 2023, 1st ed. 2023, 913 Seiten, Englisch
- Herausgegeben: Rajesh Doriya, Badal Soni, Anupam Shukla, Xiao-Zhi Gao
- Verlag: Springer Nature Singapore
- ISBN-10: 9811958688
- ISBN-13: 9789811958687
- Erscheinungsdatum: 01.01.2023
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