The Power of Data: Driving Climate Change with Data Science and Artificial Intelligence Innovations

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&nbsp;on Waste Management&nbsp;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:&nbsp; the challenge of Tunisia and previsions for renewable energy production.- Chapter 7. Clean Energy Management based on Internet of Things&nbsp;and Sensor Networks for Climate Change Problems.- Chapter 8. Digital Twin Technology for Energy Management&nbsp;Systems to Tackle Climate Change&nbsp;Challenges.- Chapter 9. The Role of Internet of Things in Mitigating the Effect of Climate Change: Case study: An ozone prediction&nbsp;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&nbsp;in Water Management in Agriculture for Climate Change Impacts.- Part 4: Emerging Climate Change &nbsp;Technologies in Healthcare Sector.- Chapter 14. The Influence of Climate Change&nbsp;on the Re-Emergence of Malaria&nbsp;Using Artificial Intelligence.<p></p>