附註:Includes bibliographical references and index.
Chapter 1. Artificial intelligence: applications, benefits, and future challenges in the monitoring and prediction of earth observations -- Chapter 2. Technical challenges faced in designing frameworks for AI-based earth monitoring systems -- Chapter 3. Knowledge-based earth monitoring and prediction systems -- Chapter 4. Reinforcement learning-based earth observation system -- Chapter 5. Nearest neighbor-based earth observation and monitoring -- Chapter 6. Development of a neuro-inspired algorithms for monitoring and prediction of earthquakes -- Chapter 7. AI implementation techniques for finding earth's frozen zones -- Chapter 8. Earthquake multi-class detection using artificial intelligence -- Chapter 9. Earth sciences unleashed: a comprehensive exploration of AI applications -- Chapter 10. Fuzzy logic-based monitoring of earth observations -- Chapter 11. An early warning system for predicting earthquakes -- Chapter 12. Deep learning approaches for earth science -- Chapter 13. Sensory intelligence-integrating MBA touch into earth observation systems for enhanced machine learning -- Chapter 14. Human-touch integration in AI frameworks for earth monitoring -- Chapter 15. Knowledge-driven decision making in earth monitoring systems -- Chapter 16. Enhancing earthquake prediction with reinforcement learning -- Chapter 17. Nearest-neighbor approaches in earth observation: a comparative analysis -- Chapter 18. Neuro-inspired algorithms for earthquake monitoring and prediction -- Chapter 19. Exploring frigid frontiers: strategies for uncovering earth's frozen regions with AI.
摘要:"The Earth Sciences industry faces a new challenge - the need for accurate, efficient, and reliable methods to monitor and predict geological phenomena and environmental changes. As climate change, earthquakes, and other natural disasters become more frequent and severe, the necessity for advanced tools and techniques is paramount. Traditional methods often fall short in providing the precision and speed required to address these critical issues. Geologists and earth scientists who are grappling with the urgent problem of utilizing artificial intelligence (AI) to revolutionize their field, will find the solution within the pages of Novel AI Applications for Advancing Earth Sciences.This book offers the research community concepts expanding upon the fusion of AI technology with earth sciences. By leveraging advanced AI tools, such as convolutional neural networks, support vector machines, artificial neural networks, and the potential of remote sensing satellites, this book transforms the identification of geological features, geological mapping, soil classification, and gas detection. Scientists can now predict earthquakes and assess the probability of climate change with unprecedented accuracy. Additionally, the book explains how the optimization of algorithms for specific tasks substantially reduces the time complexity of earth observations, leading to an unprecedented leap in accuracy and efficiency."--
