Computational Techniques for Smart Manufacturing in Industry 5.0 Methods and Applications First Edition

Cover
Title Page
Copyright Page
Preface
Table of Contents
1. Introduction to Computational Techniques for Smart Manufacturing in Industry 5.0: Methods and Applications
2. Research and Application of Raw Paper Quality Prediction Model for Cardboard Papermaking Process
3. Kriging Model Based Greenhouse Gas Emissions Model of Papermaking Wastewater Treatment Process
4. Peculiarities of BPG-Based Automatic Lossy Compression of Noisy Images
5. Recommendation and Design of Personalized Garments based on Intelligent Human-Product Interaction
6. A Probabilistic Neural Network-based Approach to Garment Fit Level Evaluation in 3D Digitalized Environment
7. Explainable Machine Learning based Control Charts for High-Dimensional Non-Stationary Time Series Data in IoT Systems: Challenges, Methods, and Future Directions
8. Monitoring the Ratio of Two Normal Variables and Compositional Data: A Literature Review and Perspective
9. Energy Efficiency Scheduling of Flexible Flow Shop Using Group Technology
10. Optimal Operation of Wind-solar-thermal Synergy Considering Carbon Trading and Energy Storage Systems
11. Adaptive Dempster-Shafer Theory for Evidence-based Trust Models in Multiagent Systems
12. Optimization Model of Raw Material Selection for Construction Material Manufacturing
13. Research on Fault Diagnosis of Paper-making Industry based on Knowledge Graph
14. Research on the Construction of Papermaking Process Model Based on Digital Twin
Index