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

This book discusses the advances of artificial intelligence and data sciences in climate change and provides the power of the climate data that is used as inputs to artificial intelligence systems. It is a good resource for researchers and professionals who work in the field of data sciences, artificial intelligence, and climate change applications.

Addresses the effects of climate change and climate variability with Data Science and AI Shows how to decrease greenhouse gases emissions and how to reduce the impact of climate change Brings together experts from the fields of data science, industry, health care, and government

Autorentext
Aboul Ella Hassanien

Prof. ****Aboul Ella Hassanien is Founder and Head of the Egyptian Scientific Research Group (SRGE) and Professor of Information Technology at the Faculty of Computer and Artificial Intelligence, Cairo University. Professor Hassanien's research interests are artificial intelligence, data mining, digital twining, bioinformatic, and drug discovery.

Ashraf Darwish

Dr. Darwish has served as Professor of computer science at Helwan University, Faculty of Science, Egypt, and Vice Chair of the Scientific Research Group in Egypt (SRGE) for research and international relations. His research interests are artificial intelligence and its applications.

Inhalt
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. <p