LEADER 04108nam 2200529 450 001 9910682591903321 005 20230529011219.0 010 $a3-031-22456-6 024 7 $a10.1007/978-3-031-22456-0 035 $a(MiAaPQ)EBC7214031 035 $a(Au-PeEL)EBL7214031 035 $a(DE-He213)978-3-031-22456-0 035 $a(PPN)269095411 035 $a(EXLCZ)9926262626400041 100 $a20230529d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 04$aThe power of data $edriving climate change with data science and artificial intelligence innovations /$fedited by Aboul Ella Hassanien and Ashraf Darwish 205 $a1st ed. 2023. 210 1$aCham, Switzerland :$cSpringer,$d[2023] 210 4$dİ2023 215 $a1 online resource (255 pages) 225 1 $aStudies in Big Data,$x2197-6511 ;$v118 311 08$aPrint version: Hassanien, Aboul Ella The Power of Data: Driving Climate Change with Data Science and Artificial Intelligence Innovations Cham : Springer International Publishing AG,c2023 9783031224553 320 $aIncludes bibliographical references and index. 327 $aPart 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. 330 $aThis book discusses the advances of artificial intelligence and data sciences in climate change and provides the power of the climate data that is used as inputs to artificial intelligence systems. It is a good resource for researchers and professionals who work in the field of data sciences, artificial intelligence, and climate change applications. 410 0$aStudies in Big Data,$x2197-6511 ;$v118 606 $aArtificial intelligence 606 $aEnvironmental protection$xData processing 606 $aGreen technology$xTechnological innovations 615 0$aArtificial intelligence. 615 0$aEnvironmental protection$xData processing. 615 0$aGreen technology$xTechnological innovations. 676 $a060 702 $aHassanien$b Aboul Ella 702 $aDarwish$b Ashraf 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910682591903321 996 $aThe power of data$93374610 997 $aUNINA