Data Driven Smart Manufacturing Technologies and Applications Book [PDF] Download

Download the fantastic book titled Data Driven Smart Manufacturing Technologies and Applications written by Weidong Li, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Data Driven Smart Manufacturing Technologies and Applications", which was released on 20 February 2021. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.

Summary of Data Driven Smart Manufacturing Technologies and Applications by Weidong Li PDF

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.


Detail About Data Driven Smart Manufacturing Technologies and Applications PDF

  • Author : Weidong Li
  • Publisher : Springer Nature
  • Genre : Technology & Engineering
  • Total Pages : 218 pages
  • ISBN : 3030668495
  • PDF File Size : 8,9 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Data Driven Smart Manufacturing Technologies and Applications

Data Driven Smart Manufacturing Technologies and Applications
  • Publisher : Springer Nature
  • File Size : 37,6 Mb
  • Release Date : 20 February 2021
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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

Big Data Analytics in Smart Manufacturing

Big Data Analytics in Smart Manufacturing
  • Publisher : CRC Press
  • File Size : 21,9 Mb
  • Release Date : 14 December 2022
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The significant objective of this edited book is to bridge the gap between smart manufacturing and big data by exploring the challenges and limitations. Companies employ big data technology in

Digital Twin Driven Smart Manufacturing

Digital Twin Driven Smart Manufacturing
  • Publisher : Academic Press
  • File Size : 33,9 Mb
  • Release Date : 07 February 2019
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Digital Twin Driven Smart Manufacturing examines the background, latest research, and application models for digital twin technology, and shows how it can be central to a smart manufacturing process. The

Smart Manufacturing

Smart Manufacturing
  • Publisher : Elsevier
  • File Size : 39,5 Mb
  • Release Date : 04 August 2020
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Research efforts in the past decade have led to considerable advances in the concepts and methods of smart manufacturing. Smart Manufacturing: Applications and Case Studies includes information about the key

Smart Manufacturing

Smart Manufacturing
  • Publisher : Elsevier
  • File Size : 26,8 Mb
  • Release Date : 04 August 2020
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Research efforts in the past ten years have led to considerable advances in the concepts and methods of smart manufacturing. Smart Manufacturing: Concepts and Methods puts these advances in perspective,

Data-Driven Technologies and Artificial Intelligence in Supply Chain

Data-Driven Technologies and Artificial Intelligence in Supply Chain
  • Publisher : CRC Press
  • File Size : 24,8 Mb
  • Release Date : 22 November 2023
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This book highlights the importance of data-driven technologies and artificial intelligence in supply chain management. It covers important concepts such as enabling technologies in Industry 4.0, the impact of artificial intelligence,

Data Management Technologies and Applications

Data Management Technologies and Applications
  • Publisher : Springer Nature
  • File Size : 23,6 Mb
  • Release Date : 29 July 2020
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This book constitutes the thoroughly refereed proceedings of the 8th International Conference on Data Management Technologies and Applications, DATA 2019, held in Prague, Czech Republic, in July 2019. The 8 revised full papers

Data-Driven Engineering Design

Data-Driven Engineering Design
  • Publisher : Springer Nature
  • File Size : 31,7 Mb
  • Release Date : 09 October 2021
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This book addresses the emerging paradigm of data-driven engineering design. In the big-data era, data is becoming a strategic asset for global manufacturers. This book shows how the power of

Intelligent Manufacturing Management Systems

Intelligent Manufacturing Management Systems
  • Publisher : John Wiley & Sons
  • File Size : 20,5 Mb
  • Release Date : 31 May 2023
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INTRELLIGENT MANUFACTURING MANAGEMENT SYSTEMS The book explores the latest manufacturing techniques in relation to AI and evolutionary algorithms that can monitor and control the manufacturing environment. The concepts that pertain

Data-Driven Mining, Learning and Analytics for Secured Smart Cities

Data-Driven Mining, Learning and Analytics for Secured Smart Cities
  • Publisher : Springer Nature
  • File Size : 43,6 Mb
  • Release Date : 28 April 2021
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This book provides information on data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart cities. This book aims to attract works on multidisciplinary research spanning across