1st Edition

Computational Techniques for Smart Manufacturing in Industry 5.0 Methods and Applications

Edited By Kim Phuc Tran, Zhenglei He Copyright 2025
386 Pages 10 Color & 115 B/W Illustrations
by CRC Press

386 Pages 10 Color & 115 B/W Illustrations
by CRC Press

386 Pages 10 Color & 115 B/W Illustrations
by CRC Press

We are witnessing rapid development in computational technologies and its applications in industry, leading to the 5th industrial revolution. Industry 5.0 is characterized by the synergies between machines and humans, with an aim to add value to production by creating personalized products able to meet customers' requirements. These intelligent manufacturing systems have been sought in various... Read more

Preface

Introduction to Computational Techniques for Smart 1 Manufacturing in Industry 5.0: Methods and Applications

Yishui Zhang, Rongyuan Wang, Mengna Hong, Zhenglei He, Zhenglei He and Kim Phuc Tran

Research and Application of Raw Paper Quality Prediction Model for Cardboard Papermaking Process

Jiwei Qian, Zhenglei He, Yi Man, Jigeng Li and Mengna Hong

Kriging Model Based Greenhouse Gas Emissions Model of Papermaking Wastewater Treatment Process

Hongze Zheng, Zhenglei He, Mengna Hong and Yi Man

Peculiarities of BPG-Based Automatic Lossy Compression of Noisy Images

Vladimir Lukin, Bogdan Kovalenko and Sergii Kryvenko, Victoriya Naumenko and Benoit Vozel

Recommendation and Design of Personalized Garments based on Intelligent Human-Product Interaction

Zhujun Wang, Xuyuan Tao, Xianyi Zeng, Yingmei Xing, Zhenzhen Xu and Pascal Bruniaux

A Probabilistic Neural Network-based Approach to Garment Fit Level Evaluation in 3D Digitalized Environment

Zhujun Wang, Yingmei Xing, Xianyi Zeng, Pascal Bruniaux and Xuyuan Tao

Explainable Machine Learning based Control Charts for High-Dimensional Non-Stationary Time Series Data in IoT Systems: Challenges, Methods, and Future Directions

Aamir Saghir, Kim Duc Tran and Kim Phuc Tran

Monitoring the Ratio of Two Normal Variables and Compositional Data: A Literature Review and Perspective

Thi Thuy Van Nguyen, Thi Hien Nguyen, Kim Duc Tran, C“edric Heuchenne and Kim Phuc Tranvi Computational Techniques for Smart Manufacturing in Industry 5.0

Energy Efficiency Scheduling of Flexible Flow Shop Using Group Technology

Zhiqiang Zeng, Le Gao, Zhiyong Hong and Wenyi Liang

Optimal Operation of Wind-solar-thermal Synergy Considering Carbon Trading and Energy Storage Systems

Chang Liu, Zhenglei He, Yi Man, Jigeng Li and Mengna Hong

Adaptive Dempster-Shafer Theory for Evidence-based Trust Models in Multiagent Systems

Xiangyao Liang, Ningkui Wang, Mengna Hong, Yi Man and Zhenglei He

Optimization Model of Raw Material Selection for Construction Material Manufacturing

Xiuli He, Rongyuan Wang, Mengna Hong and Zhenglei He

Research on Fault Diagnosis of Paper-making Industry based on Knowledge Graph

Qingyuan Zhang, Zhenglei He, Yi Man, Jigeng Li and Mengna Hong

Research on the Construction of Papermaking Process Model Based on Digital Twin

Yishui Zhang, Rongyuan Wang, Mengna Hong and Zhenglei He

Index

Biography

Kim Phuc Tran is a Senior Associate Professor of Artificial Intelligence and Data Science at the ENSAIT and the GEMTEX laboratory, University of Lille, France. He is an editor for several international journals such as IEEE Transactions on Intelligent Transportation Systems and Engineering Applications of Artificial Intelligence. His research interests include explainable and trustworthy Artificial Intelligence and its applications in Industry 5.0.

Zhenglei He is an Assistant Professor of Automation and Intelligent Manufacturing at the State Key Laboratory of Pulp and Paper Engineering, South China University of Technology, China. He holds a Ph.D. degree in Computer Engineering, Automation and Signal Processing from University of Lille, France. His research focuses on digital twin, knowledge graph, modelling, simulation, and optimization via AI for sustainable manufacturing. He has published more than 30 papers in SCIE peer-reviewed international journals and conferences.