The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems (Paperback)


The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems discusses the recent, rapid development of Internet of things (IoT) and its focus on research in smart cities, especially on surveillance tracking systems in which computing devices are widely distributed and huge amounts of dynamic real-time data are collected and processed. Efficient surveillance tracking systems in the Big Data era require the capability of quickly abstracting useful information from the increasing amounts of data. Real-time information fusion is imperative and part of the challenge to mission critical surveillance tasks for various applications. This book presents all of these concepts, with a goal of creating automated IT systems that are capable of resolving problems without demanding human aid.

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Product Description

The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems discusses the recent, rapid development of Internet of things (IoT) and its focus on research in smart cities, especially on surveillance tracking systems in which computing devices are widely distributed and huge amounts of dynamic real-time data are collected and processed. Efficient surveillance tracking systems in the Big Data era require the capability of quickly abstracting useful information from the increasing amounts of data. Real-time information fusion is imperative and part of the challenge to mission critical surveillance tasks for various applications. This book presents all of these concepts, with a goal of creating automated IT systems that are capable of resolving problems without demanding human aid.

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Product Details

General

Imprint

Academic Press Inc

Country of origin

United States

Series

Intelligent Data-Centric Systems

Release date

March 2020

Availability

Expected to ship within 12 - 17 working days

First published

2020

Editors

, , ,

Dimensions

235 x 191 x 11mm (L x W x T)

Format

Paperback

Pages

202

ISBN-13

978-0-12-816385-6

Barcode

9780128163856

Categories

LSN

0-12-816385-2



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