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Deep Learning for Cyber-Physical Systems - Business Science

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Description

Big data is generated constantly through daily business, engineering, and science activities. This volume of information is collected from the Internet of Things (IoT) and cyber-physical systems (CPS). Simply storing massive amounts of data is not enough; the real value lies in identifying, locating, and extracting knowledge to forecast and support services. This book focuses on the transition from big data to smart data. By extracting valuable knowledge, users can make informed decisions in business, science, and engineering applications. It covers essential advancements in systems analysis, software engineering, and high performance computing to help navigate the complexities of modern sensory data and automated systems.

Key Features

Deep Learning Applications for Cyber-Physical Systems explores the extraction of smart data from massive datasets.

The text addresses data collection methods from the Internet of Things (IoT) and cyber-physical systems (CPS).

Learn to identify and locate valuable knowledge within big data to support forecasting and services.

This volume covers advancements in systems analysis, software engineering, and high performance computing.

Published by Business Science Reference to assist in decision-making for science and engineering applications.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
17 November 2021
Listed Since
01 July 2021

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