Chapter 1. Introduction to computational approaches in air pollution.- Chapter 2. Understanding the health and environmental impacts of air pollutants.- Chapter 3. Assessing the health and environmental consequences of air pollution.- Chapter 4. Assessment on health and environmental impacts due to air pollution.
- Chapter 5. Air pollution and its impact on health and environment in India.- Chapter 6. Analyzing air pollution sources effect and mitigation strategies.- Chapter 7. Towards a data-driven air pollution control strategy.- Chapter 8. Air pollution modeling using computational approaches.
- Chapter 9. Machine learning in air quality prediction and control.- Chapter 10. Transforming air quality forecasting with machine learning techniques.- Chapter 11. Machine learning for air pollution prediction: A case study of Bhilwara, Rajasthan.- Chapter 12. Emission inventories to AI-based prediction for air pollutants.
- Chapter 13. Harnessing biodiversity for air pollution mitigation through nature-based strategies and bioresource utilization.- Chapter 14. Digital pathways to cleaner air: Reducing construction-related CO- through BIM, digital twins, and artificial intelligence.- Chapter 15. Investigating the relationship between urbanization and air pollution: New insights from developed countries.- Chapter 16. Air pollution and recent trends in control strategy.
- Chapter 17. COVID-19 emission inventory and air quality simulation in Madrin, Spain.- Chapter 18. Intuitionistic Fuzzy MCDM Decision Making Technique for the Selection of Property.- Chapter 19. Probabilistic and computational health risk modelling for assessment of air pollution exposure.- Chapter 20. Advancing sustainable and inclusive evaluation frameworks for health and environmental impact assessment.
- Chapter 21. Environmental and Public Health Concerns in a Sustainable Future.