Machine Learning In Geohazard Risk Prediction And Assessment

Machine Learning in Geohazard Risk Prediction and Assessment

Machine Learning in Geohazard Risk Prediction and Assessment: From Microscale Analysis to Regional Mapping presents an overview of the most recent developments in machine learning techniques that have reshaped our understanding of geo-materials and management protocols of geo-risk. The book covers a broad category of research on machine-learning techniques that can be applied, from microscopic modeling to constitutive modeling, to physics-based numerical modeling, to regional susceptibility mapping. This is a good reference for researchers, academicians, graduate and undergraduate students, professionals, and practitioners in the field of geotechnical engineering and applied geology. - Introduces machine-learning techniques in the risk management of geo-hazards, particularly recent developments - Covers a broader category of research and machine-learning techniques that can be applied, from microscopic modeling to constitutive modeling, to physics-based numerical modeling, to regional susceptibility mapping - Contains contributions from top researchers around the world, including authors from the UK, USA, Australia, Austria, China, and India

Integration of State-of-art Techniques for Landslide Hazard Assessment and for the Mitigation Caused by the Subsequent Multimodal Disaster

Proceedings of the 2024 5th International Conference on Civil, Architecture and Disaster Prevention and Control (CADPC 2024)

This is an open access book.2024 5th International Conference on Civil, Architecture and Disaster Prevention and Control (CADPC 2024) will be held during March 8-10, 2024 in Xi'an, China. CADPC 2024 focus on construction technology, disaster prediction, disaster prevention and control, and post-disaster reconstruction. The conference will provide a platform for scholars from universities at home and abroad, researchers and engineers to share research results and cutting-edge technologies. All attendants will get the chance to know about updated academic trends, develop new way of thinking, improve academic research and discussions, and promote industrialization of research findings.