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Books > Computing & IT > Applications of computing > Image processing

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Intelligent Learning for Computer Vision - Proceedings of Congress on Intelligent Systems 2020 (Hardcover, 1st ed. 2021) Loot Price: R7,173

Discovery Miles 71 730

Repayment Terms: R672 pm x 12*

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Intelligent Learning for Computer Vision - Proceedings of Congress on Intelligent Systems 2020 (Hardcover, 1st ed. 2021):...

Intelligent Learning for Computer Vision - Proceedings of Congress on Intelligent Systems 2020 (Hardcover, 1st ed. 2021)

Harish Sharma, Mukesh Saraswat, Sandeep Kumar, Jagdish Chand Bansal

Series: Lecture Notes on Data Engineering and Communications Technologies, 61

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Loot Price R7,173 Discovery Miles 71 730 | Repayment Terms: R672 pm x 12*

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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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Lecture Notes on Data Engineering and Communications Technologies, 61
Release date:	May 2021
First published:	2021
Editors:	Harish Sharma • Mukesh Saraswat • Sandeep Kumar • Jagdish Chand Bansal
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	591
Edition:	1st ed. 2021
ISBN-13:	978-981-3345-81-2
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Computing & IT > Applications of computing > Image processing > General Promotions
LSN:	981-3345-81-0
Barcode:	9789813345812