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Springer Internet of Things Smart Computing Technology Roadmap - Springer

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Description

This comprehensive volume explores machine learning, big data, IoT security and next-generation computing paradigms essential for modern interconnected systems. Authored by leading experts, it synthesises innovative research across interdisciplinary domains to equip researchers, engineers and designers with practical knowledge of algorithms used in machine learning and big data analytics. The book provides detailed analysis of algorithmic advantages and disadvantages, enabling professionals to make informed technology choices for IoT applications. It covers wireless networking innovations and emerging computational approaches that support today's connected devices and systems, making it an invaluable reference for anyone developing or implementing IoT solutions in industry or academia.

Key Features

Studies in Systems, Decision and Control series volume 266 provides peer-reviewed research on IoT and smart computing technologies.

Covers machine learning algorithms with detailed analysis of strengths and weaknesses for practical IoT applications.

Addresses Internet of Things security challenges and solutions across interconnected computing environments.

Explores next-generation computing paradigms designed to support wireless networking in IoT infrastructure.

Brings together research from multiple interdisciplinary domains to inform engineers and systems designers.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
15 February 2020
Listed Since
07 December 2019

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No barcode data available

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