Electronic Resource

Data Driven Smart Manufacturing Technologies and Applications

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Penilaian

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This book reports innovative deep learning and big data analytics technologies for smart manufacturing applications. In this book, theoretical foundations, as well as the state-of-the-art and practical implementations for the relevant technologies, are covered. This book details the relevant applied research conducted by the authors in some important manufacturing applications, including intelligent prognosis on manufacturing processes, sustainable manufacturing and human-robot cooperation. Industrial case studies included in this book illustrate the design details of the algorithms and methodologies for the applications, in a bid to provide useful references to readers.

Smart manufacturing aims to take advantage of advanced information and artificial intelligent technologies to enable flexibility in physical manufacturing processes to address increasingly dynamic markets. In recent years, the development of innovative deep learning and big data analytics algorithms is dramatic. Meanwhile, the algorithms and technologies have been widely applied to facilitate various manufacturing applications. It is essential to make a timely update on this subject considering its importance and rapid progress.

This book offers a valuable resource for researchers in the smart manufacturing communities, as well as practicing engineers and decision makers in industry and all those interested in smart manufacturing and Industry 4.0.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
1908000566	EB0001119	670 Dat	Central Library (OPAC)	Available

Detail Information

Series Title

Springer Series in Advanced Manufacturing

Call Number

670 Dat

Publisher

Switzerland : Springer Cham., 2021

Collation

ix, 218p.:Ill

Language

English

ISBN/ISSN

978-3-030-66849-5

Classification

670

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

-

Subject(s)

Big Data

Specific Detail Info

-

Statement of Responsibility

BRF

Other version/related

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