Part 1: Artificial Intelligence in climate change Applications
Chapter 1. Artificial Intelligence for Predicting Floods: A Climatic Change Phenomenon
Chapter 2. Prediction of Climate Change Impact based on Air Flight CO2 Emissions Using Machine Learning: Towards Green Air Flights
Chapter 3. The Impact of Artificial Intelligence on Waste Management for Climate Change
Chapter 4. A Machine Learning-based Model for Predicting Temperature under the Effects of Climate Change
Part 2: Emerging Technologies in Industry and Energy Sector
Chapter 5. Prediction of CO2 Emission in Cars using Machine Learning Algorithms
Chapter 6. Climate change: the challenge of Tunisia and previsions for renewable energy production
Chapter 7. Clean Energy Management based on Internet of Things and Sensor Networks for Climate Change Problems
Chapter 8. Digital Twin Technology for Energy Management Systems to Tackle Climate Change Challenges
Chapter 9. The Role of Internet of Things in Mitigating the Effect of Climate Change: Case study: An ozone prediction model
Part 3: Emerging Climate Change Technology in Agriculture Sector
Chapter 10. Optimized Multi-Kernel Predictive Model for the Crop Prediction with Climate Factors and Soil Properties Optimized Multi-Kernel Predictive Model for the Crop Prediction with Climate Factors and Soil Properties
Chapter 11. An Intelligent Crop Recommendation Model for the Three Strategic Crops in Egypt based on Climate Change Data
Chapter 12. Cost Effective Decision Support System for Smart Water Management System
Chapter 13. The Role of Artificial Intelligence in Water Management in Agriculture for Climate Change Impacts
Part 4: Emerging Climate Change Technologies in Healthcare Sector
Chapter 14. The Influence of Climate Change on the Re-Emergence of Malaria Using Artificial Intelligence.