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Intelligent Learning for Computer Vision: Proceedings of Congress on Intelligent Systems 2020 (Lecture Notes on Data Engineering and Communications Technologies, 61)
by: Harish Sharma (Editor), Mukesh Saraswat (Editor), Sandeep Kumar (Editor), Jagdish Chand Bansal (Editor)
Publisher: Springer
Edition: 1st ed. 2021
Publication Date: 2021-05-20
Language: English
Print Length: 605 pages
ISBN-10: 9813345810
ISBN-13: 9789813345812
Book Description
This book is a collection of selected papers presented at the First Congress on Intelligent Systems (CIS 2020), held in New Delhi, India, during September 5–6, 2020. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers selected papers in the area of computer vision. This book covers new tools and technologies in some of the important areas of medical science like histopathological image analysis, cancer taxonomy, use of deep learning architecture in dental care, and many more. Furthermore, this book reviews and discusses the use of intelligent learning-based algorithms for increasing the productivity in agricultural domain.
Editorial Reviews
This book is a collection of selected papers presented at the First Congress on Intelligent Systems (CIS 2020), held in New Delhi, India, during September 5–6, 2020. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers selected papers in the area of computer vision. This book covers new tools and technologies in some of the important areas of medical science like histopathological image analysis, cancer taxonomy, use of deep learning architecture in dental care, and many more. Furthermore, this book reviews and discusses the use of intelligent learning-based algorithms for increasing the productivity in agricultural domain.