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Springer Data Driven Smart Manufacturing Technologies Book

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Description

Explore the intersection of artificial intelligence and industrial production with Data Driven Smart Manufacturing Technologies and Applications. Published by Springer, this book provides a comprehensive look at how deep learning and big data analytics drive modern manufacturing processes. Readers will find a detailed examination of theoretical foundations alongside state-of-the-art practical implementations. The text covers essential research areas including intelligent prognosis for manufacturing processes, sustainable manufacturing practices, and the evolving field of human-robot cooperation. By including industrial case studies, the book offers clear design details and real-world applications. This resource is designed for those looking to understand the practical application of advanced technologies in smart manufacturing environments, moving from theory to actual industrial implementation.

Key Features

Covers innovative deep learning and big data analytics technologies specifically for smart manufacturing applications.

Provides a balance of theoretical foundations and practical, state-of-the-art implementations for industrial use.

Details applied research regarding intelligent prognosis on various manufacturing processes.

Explores key industry topics such as sustainable manufacturing and human-robot cooperation.

Includes industrial case studies that provide specific design details for real-world manufacturing scenarios.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
21 February 2021
Listed Since
27 November 2020

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No barcode data available

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