Advanced Techniques for IoT Applications - Proceedings of EAIT 2020 (Paperback, 1st ed. 2022)


This book includes original, unpublished contributions presented at the Sixth International Conference on Emerging Applications of Information Technology (EAIT 2020), held at the University of Kalyani, Kalyani, West Bengal, India, on November 2020. The book covers the topics such as image processing, computer vision, pattern recognition, machine learning, data mining, big data and analytics, information security and privacy, wireless and sensor networks, and IoT. It will also include IoT application-related papers in pattern recognition, artificial intelligence, expert systems, natural language understanding, image processing, computer vision, applications in biomedical engineering, artificial neural networks, fuzzy logic, evolutionary optimization, data mining, Web intelligence, intelligent agent technology, virtual reality, and visualization.

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Product Description

This book includes original, unpublished contributions presented at the Sixth International Conference on Emerging Applications of Information Technology (EAIT 2020), held at the University of Kalyani, Kalyani, West Bengal, India, on November 2020. The book covers the topics such as image processing, computer vision, pattern recognition, machine learning, data mining, big data and analytics, information security and privacy, wireless and sensor networks, and IoT. It will also include IoT application-related papers in pattern recognition, artificial intelligence, expert systems, natural language understanding, image processing, computer vision, applications in biomedical engineering, artificial neural networks, fuzzy logic, evolutionary optimization, data mining, Web intelligence, intelligent agent technology, virtual reality, and visualization.

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Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Series

Lecture Notes in Networks and Systems, 292

Release date

August 2021

Availability

Expected to ship within 12 - 17 working days

First published

2022

Editors

,

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

617

Edition

1st ed. 2022

ISBN-13

978-981-16-4434-4

Barcode

9789811644344

Categories

LSN

981-16-4434-9



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