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Springer Artificial Intelligence-based IoT Systems Book

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Description

Explore the evolution of future generation technologies with this Springer publication on Artificial Intelligence-based Internet of Things Systems. This volume brings related technologies onto a single platform, making it an accessible resource for undergraduate and postgraduate students, researchers, academicians, and industry professionals. Readers can gain a clear understanding of AI algorithms, machine learning algorithms, and learning analytics within IoT-enabled technologies. By applying data and network engineering alongside intelligent decision support system-by-design principles, the book provides the necessary framework to design reliable AI-enabled IoT ecosystems. It serves as a comprehensive guide for anyone studying the intersection of machine learning and connected device networks.

Key Features

This Springer book covers the evolution of future generation technologies through the lens of Internet of Things (IoT) and Artificial Intelligence (AI).

The text provides a single platform to study AI algorithms, machine learning algorithms, and learning analytics in IoT-enabled technologies.

Content is designed for a wide audience including undergraduate and postgraduate students, researchers, and industry professionals.

The book utilizes data and network engineering principles to help readers design reliable AI-enabled IoT ecosystems.

It incorporates intelligent decision support system-by-design principles to address modern technological challenges.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
13 January 2023
Listed Since
21 December 2022

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