Part II: Property Prediction 4. Applications of Artificial Neural Networks for Thermodynamics: Vapor-Liquid Equilibrium Predictions 5. Support Vector Machines for The Prediction of Physical-Chemical Properties 6. Thermodynamics Prediction: Neural Networks Based Quantitative Structure Property Relationships 7. Intelligent Approaches to Forecast the Chemical Property: Case Study in Papermaking Process

Part III: Process Modelling 8. Artificial Neural Networks for Modelling of Wastewater Treatment Process 9. COD Forecasting Based LSTM Algorithm for Wastewater Treatment Process 10. Comparisons of Deep Learning Methods for Process Modelling: A Case Study of Bio-Hydrogen Production 11. Deep Learning Based Energy Consumption Forecasting Model for Process Industry 12. Chemical Green Product Design Assisted with Machine Learning: Theory and Methods

Part IV: Process Control and Fault Diagnosis 13. Artificial Intelligence for the Modelling and Control of Chemical Process Systems 14. Artificial Intelligence for Management and Control of The Pollution Minimization 15. Neural Network Based Framework for Fault Diagnosis 16. Application of Artificial Intelligence in Process Fault Diagnosis

Part V: Process Optimization 17. Bi-Level Model Reduction for Multiscale Stochastic Optimization of Cooling Water System 18. Artificial Intelligence Algorithm Based Multi-Object Optimization of Flexible Flow Shop Smart Scheduling 19. Electricity Scheduling Optimization Model for Flexible Production Process 20. Data-driven?multistage adaptive robust?optimization?framework for planning and scheduling under uncertainty