Data Driven Smart Manufacturing Technologies and Applications (Record no. 75265)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04592nam a22005895i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-030-66849-5 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220801213519.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 210220s2021 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783030668495 |
| -- | 978-3-030-66849-5 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 670 |
| 245 10 - TITLE STATEMENT | |
| Title | Data Driven Smart Manufacturing Technologies and Applications |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2021. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | IX, 218 p. 143 illus., 130 illus. in color. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Springer Series in Advanced Manufacturing, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Part I: Introduction and Fundamental -- Introduction -- Big Data Analytics and Deep Learning Algorithms -- Part II: Survey -- Intelligent Manufacturing Prognosis: A Survey -- Sustainable Manufacturing Enabled by Artificial Intelligence: A Survey -- Human-Robot Collaboration and Artificial Intelligence: A Survey -- Part III: Applications and Case Studies -- Fog Computing and Convolutional Neural Network Enabled Machining Prognosis and Optimisation -- Big Data Enabled Intelligent Immune System for Energy Efficient Manufacturing Management -- Tool Wear Prognosis Using Deep Learning Algorithms -- Big Data Analytics Supported Close-loop Machining Control and Optimisation -- Intelligent Learning from Demonstrators for Human-Robot Collaboration -- Human-Robot Collaboration and Intelligent Welding Applications -- Deep Learning Driven Intelligent Welding Robotics. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Li, Weidong. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Liang, Yuchen. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Wang, Sheng. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1007/978-3-030-66849-5 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2021. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Manufactures. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Robotics. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer simulation. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Mechanical engineering. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Machines, Tools, Processes. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Robotics. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Modelling. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Mechanical Engineering. |
| 700 1# - AUTHOR 2 | |
| -- | (orcid)0000-0001-5559-7834 |
| -- | https://orcid.org/0000-0001-5559-7834 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 2196-1735 |
| 912 ## - | |
| -- | ZDB-2-ENG |
| 912 ## - | |
| -- | ZDB-2-SXE |
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