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Can I read Data Driven Smart Manufacturing Technologies and Applications (Springer Series in Advanced Manufacturing) on EtoBox?
Data Driven Smart Manufacturing Technologies and Applications (Springer Series in Advanced Manufacturing) by Weidong Li (editor), Yuchen Liang (editor), Sheng Wang (editor) is a nonfiction available to read on EtoBox.
What is Data Driven Smart Manufacturing Technologies and Applications (Springer Series in Advanced Manufacturing) about?
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 r
Who reads Data Driven Smart Manufacturing Technologies and Applications (Springer Series in Advanced Manufacturing)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Weidong Li (editor), Yuchen Liang (editor), Sheng Wang (editor)
- Publisher
- Springer International Publishing : Imprint: Springer
- Published
- 2021
- Language
- EN
- ISBN
- 9783030668495
- Category
- nonfiction
- Subjects
- Engineering, Computer Science, Technology
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