Cloud Analytics for Industry 4.0 /

Cloud Analytics for Industry 4.0 / / ed. by Sirisha Potluri, Sachi Nandan Mohanty, Gouse Baig Mohammad, S. Shitharth.

This book provides research on the state-of-the-art methods for data management in the fourth industrial revolution, with particular focus on cloud.based data analytics for digital manufacturing infrastructures. Innovative techniques and methods for secure, flexible and profi table cloud manufacturi...

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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter DG Plus DeG Package 2022 Part 1
MitwirkendeR:
Basha, Sk. Althaf Hussain,
Begum, Ruqqaiya,
Devi, G. Malini,
Dileep, P.,
Gayatri, Mantri,
Hijab, Maniza,
Kumar, A. Ravi,
Kumar, G. Anil,
Lanka, Sri Vishal,
Mariyam, Ayesha,
Muralidharan, C.,
Niraja, K.,
Padmavathy, T.,
Potluri, Sirisha,
Raju, S. Viswanadha,
Sam, R. Praveen,
Shivacharya, Ujjwal,
Sirajudeen, Y. Mohamed,
Subbaramaiah, V.,
Sucharitha, G.,
Suhruth, I. Venkata Sai,
Taranum, Fahmina,
Tejasvi, K.,
Tejasvi, Koti,
Vijayakamal, Madadi,
Vishweshwar, Bitla,
HerausgeberIn:
Mohammad, Gouse Baig,
Nandan Mohanty, Sachi,
Potluri, Sirisha,
Shitharth, S.,
Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2022]
©2022
Year of Publication:2022
Language:English
Series:Smart Computing Applications , 6
Online Access:
Physical Description:1 online resource (IX, 175 p.)
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Table of Contents:
  • Frontmatter
  • Contents
  • List of authors
  • The impact of green manufacturing in Industry 4.0 for future ecosystems
  • Custom manufacturing using Industry 4.0: cost-effective industry revolution model
  • Cloud-based industrial IoT infrastructure to facilitate efficient data analytics
  • An impact of robust Industry 4.0 strategy on supply chain management
  • Machine learning based smart cloud factories
  • Sustainable and flexible digital models for the manufacturing of ecosystem
  • Industry 4.0: efficient supply chain management using energy-aware cloud infrastructure model
  • Analytical models for planning and control of autonomous mobile robots for logistic management
  • Industry 4.0: augmented reality in smart manufacturing industry environment to facilitate faster and easier work procedures
  • Prediction of knee osteoarthritis progression using machine learning techniques
  • Index

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