Convergence of artificial intelligence and the Internet of Things /

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Bibliographic Details
Imprint:	Cham : Springer, 2020.
Description:	1 online resource
Language:	English
Series:	Internet of Things. Internet of things.
Subject:	Artificial intelligence. Internet of things. Artificial intelligence. Internet of things. Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12605252

Hidden Bibliographic Details
Other authors / contributors:	Mastorakis, George, 1978- Mavromoustakis, Constandinos X., 1974- Batalla, Jordi Mongay. Pallis, Evangelos, 1971-
ISBN:	9783030449070 3030449076 3030449068 9783030449063
Digital file characteristics:	text file PDF
Summary:	This book gathers recent research work on emerging Artificial Intelligence (AI) methods for processing and storing data generated by cloud-based Internet of Things (IoT) infrastructures. Major topics covered include the analysis and development of AI-powered mechanisms in future IoT applications and architectures. Further, the book addresses new technological developments, current research trends, and industry needs. Presenting case studies, experience and evaluation reports, and best practices in utilizing AI applications in IoT networks, it strikes a good balance between theoretical and practical issues. It also provides technical/scientific information on various aspects of AI technologies, ranging from basic concepts to research grade material, including future directions. The book is intended for researchers, practitioners, engineers and scientists involved in the design and development of protocols and AI applications for IoT-related devices. As the book covers a wide range of mobile applications and scenarios where IoT technologies can be applied, it also offers an essential introduction to the field.
Other form:	Print version: 3030449068 9783030449063
Standard no.:	10.1007/978-3-030-44 10.1007/978-3-030-44907-0

Table of Contents:

Fog Computing: Data Analytics for Time-Sensitive Applications
Medical Image Watermarking in Four Levels Decomposition of DWT Using Multiple Wavelets in IoT Emergence
Optimised Statistical Model Updates in Distributed Intelligence Environments
Intelligent Vehicular Networking Protocols
Towards Ubiquitous Privacy Decision Support:Machine Prediction of Privacy Decisions in IoT
Energy-Efficient Design of Data Center Spaces in the Era of IoT Exploiting the Concept of Digital Twins
In-network Machine Learning Predictive Analytics: A Swarm Intelligence Approach
Machine Learning Techniques for Wireless-Powered Ambient Backscatter communications
Processing Systems for Deep Learning Inference on Edge Devices
Power Domain based Multiple Access for IoT Deployment: Two-way Transmission Mode and Performance Analysis.

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