| Session | ||
Intelligent Systems for Manufacturing Planning and Control in the Industry 4.0.
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| Presentations | ||
Digital Twin Framework for Machine-Learning Enabled Integrated Production and Logistics Processes 1North Carolina State University, United States of America; 2Siemens Corporation, United States of America Demand forecasting for an automotive company with neural network and ensemble classifiers approaches Department of Engineering and Architecture, University of Parma, Parma, Italy A Text Understandability Approach for Improving Reliability-Centered Maintenance in Manufacturing Enterprises Vienna University of Technology (TU Wien), Austria | ||