Geotechnical Engineering And Intelligent Disaster Prediction
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Geotechnical Engineering and Intelligent Disaster Prediction
This book features selected proceedings from the "2024 International Conference on Geotechnics and Hydraulic Structure," focusing on Geotechnical Engineering and Intelligent Disaster Prediction. It addresses the vital role of geotechnical engineering in underground structure safety and infrastructure stability. With the advancement of AI and interdisciplinary collaboration, the field has transitioned to electronic surveying and big data prediction for stress analysis and safety monitoring. The conference highlights stress analysis in geotechnical and underground engineering, and the application of AI in geotechnical predictions. The book includes case studies and research on soil mechanics, tunnel construction, and geotechnical failures, as well as AI's role in disaster prediction and monitoring. It aims to be a comprehensive resource for engineers and scholars, offering insights and innovative solutions in geotechnical engineering.
Civil Engineering and Disaster Prevention
Civil Engineering and Disaster Prevention focuses on the research of civil engineering, architecture and disaster prevention and control. These proceedings gather the most cutting-edge research and achievements, aiming to provide scholars and engineers with valuable research direction and engineering solutions. Subjects covered in the proceedings include: Civil Engineering Engineering Structure Architectural Materials Disaster Prevention and Control Building Electrical Engineering The works of these proceedings aim to promote the development of civil engineering and environment engineering. Thereby, fostering scientific information interchange between scholars from the top universities, research centers and high-tech enterprises working all around the world.
Intelligent Interpretation for Geological Disasters
This book comprehensively utilizes the new generation of artificial intelligence and remote sensing science and technology to systematically carry out researches on high-precision recognition, monitoring, analysis, and assessment of geological disasters by using different technologies of "ground, airspace, and space-based systems" and different scales of "target-semantic-region". The main contents include: 1) Intelligent interpretation theory and methods of geological disasters, 2) Intelligent analysis of landslide based on long-term ground monitoring data, 3) Intelligent analysis of landslide evolution based on optical satellite remote sensing data, 4) Deep learning-based remote sensing detection of landslide, 5) Intelligent assessment methods of landslide susceptibility, 6) Intelligent recognition of ground figure based on airspace-based remote sensing data. The book is of interest to graduate student, scientific, and technological personnel who work in the area of geological disasters, natural hazards, remote sensing, and artificial intelligence.