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Convergence of Artificial Intelligence and the Internet of Things

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Cover of 'Convergence of Artificial Intelligence and the Internet of Things'

Table of Contents

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    Book Overview
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    Chapter 1 Fog Computing: Data Analytics for Time-Sensitive Applications
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    Chapter 2 Medical Image Watermarking in Four Levels Decomposition of DWT Using Multiple Wavelets in IoT Emergence
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    Chapter 3 Optimised Statistical Model Updates in Distributed Intelligence Environments
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    Chapter 4 Intelligent Vehicular Networking Protocols
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    Chapter 5 Towards Ubiquitous Privacy Decision Support: Machine Prediction of Privacy Decisions in IoT
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    Chapter 6 Energy-Efficient Design of Data Center Spaces in the Era of IoT Exploiting the Concept of Digital Twins
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    Chapter 7 In-Network Machine Learning Predictive Analytics: A Swarm Intelligence Approach
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    Chapter 8 Machine Learning Techniques for Wireless-Powered Ambient Backscatter Communications: Enabling Intelligent IoT Networks in 6G Era
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    Chapter 9 Processing Systems for Deep Learning Inference on Edge Devices
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    Chapter 10 Power Domain Based Multiple Access for IoT Deployment: Two-Way Transmission Mode and Performance Analysis
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    Chapter 11 Big Data Thinning: Knowledge Discovery from Relevant Data
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    Chapter 12 Optimizing Blockchain Networks with Artificial Intelligence: Towards Efficient and Reliable IoT Applications
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    Chapter 13 Industrial and Artificial Internet of Things with Augmented Reality
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    Chapter 14 IoT Detection Techniques for Modeling Post-Fire Landscape Alteration Using Multitemporal Spectral Indices
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    Chapter 15 Internet of Things and Artificial Intelligence—A Wining Partnership?
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    Chapter 16 AI Architectures for Very Smart Sensors
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Title
Convergence of Artificial Intelligence and the Internet of Things
Published by
Springer International Publishing, August 2020
DOI 10.1007/978-3-030-44907-0
ISBNs
978-3-03-044906-3, 978-3-03-044907-0
Editors

Mastorakis, George, Mavromoustakis, Constandinos X., Batalla, Jordi Mongay, Pallis, Evangelos

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