Cloud Analytics for Industry 4.0 / 
ed. by Sirisha Potluri, Sachi Nandan Mohanty, Gouse Baig Mohammad, S. Shitharth. 
 - 1 online resource (IX, 175 p.) 
 - Smart Computing Applications ,  6  2700-6239 ; .
<br/><br/> 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 
<br/><br/> restricted access  http://purl.org/coar/access_right/c_16ec 
<br/><br/> 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 manufacturing will be gathered to present advanced and specialized research in the selected area. 
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<br/><br/><br/>Mode of access: Internet via World Wide Web. 
<br/><br/><br/>In English. 
<br/><br/><label>ISBN: </label>9783110771572 
<br/><br/><label>Standard No.: </label>10.1515/9783110771572  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Cloud Datenanalyse.<br/>Industrie 4.0.<br/>Internet der Dinge.<br/>Künstliche Intelligenz.
<br/><br/><label>Subjects--Index Terms: </label>Digital Manufacturing, Industry 4.0, Cloud Analytics, Additive manufacturing, Industrial IoT, AI Manufacturing, Enterprise Asset Management, Cloud Manufacturing.