International Conference on Intelligent and Smart Computing in Data Analytics - ISCDA 2020 (Paperback, 1st ed. 2021)


This book is a collection of best selected research papers presented at International Conference on Intelligent and Smart Computing in Data Analytics (ISCDA 2020), held at K L University, Guntur, Andhra Pradesh, India. The primary focus is to address issues and developments in advanced computing, intelligent models and applications, smart technologies and applications. It includes topics such as artificial intelligence and machine learning, pattern recognition and analysis, computational intelligence, signal and image processing, bioinformatics, ubiquitous computing, genetic fuzzy systems, hybrid evolutionary algorithms, nature-inspired smart hybrid systems, Internet of things, industrial IoT, health informatics, human-computer interaction and social network analysis. The book presents innovative work by leading academics, researchers and experts from industry.

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Product Description

This book is a collection of best selected research papers presented at International Conference on Intelligent and Smart Computing in Data Analytics (ISCDA 2020), held at K L University, Guntur, Andhra Pradesh, India. The primary focus is to address issues and developments in advanced computing, intelligent models and applications, smart technologies and applications. It includes topics such as artificial intelligence and machine learning, pattern recognition and analysis, computational intelligence, signal and image processing, bioinformatics, ubiquitous computing, genetic fuzzy systems, hybrid evolutionary algorithms, nature-inspired smart hybrid systems, Internet of things, industrial IoT, health informatics, human-computer interaction and social network analysis. The book presents innovative work by leading academics, researchers and experts from industry.

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Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Series

Advances in Intelligent Systems and Computing, 1312

Release date

March 2021

Availability

Expected to ship within 12 - 17 working days

First published

2021

Editors

, , , ,

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

306

Edition

1st ed. 2021

ISBN-13

978-981-3361-75-1

Barcode

9789813361751

Categories

LSN

981-3361-75-1



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