Geotechnical Engineering and Intelligent Disaster Prediction

Name: Geotechnical Engineering and Intelligent Disaster Prediction
Brand: Wei Gao
SKU: 9783031857874
Price: 223.63 EUR
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Proceedings of 2024 International Conference on Geotechnics and Hydraulic Structure

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Inhaltsangabe

Section One: Geotechnical Mechanics and Mechanical Theory.- a. Geotechnical Mechanics and Computational Optimization Methods.- b. Theoretical Mechanics and Geotechnical Load Theory.- Section Two: Research and Case Studies in Geotechnical Engineering.- a. Geotechnical Slope and Soil Mechanics Analysis.- b. Tunnel and Underground Engineering Construction.- c. Geotechnical Failure and Theory in Complex Environments.- d. Safety Management and Technological Applications in Geotechnical Engineering Construction.- e. Quality Control and Monitoring Techniques in Geotechnical Engineering Construction.- Section Three: Intelligent Disaster Prediction.- a. Application of Artificial Intelligence and Big Data Technologies in Geotechnical Engineering Prediction.- b. Monitoring and Early Warning of Geotechnical and Geological Disasters.- c. Visualization Display and Emergency Response Plan Optimization of Intelligent Geotechnical Disaster Prediction System.- d. Model Optimization and Algorithm Improvement in Geotechnical Disaster Prediction Using Artificial Intelligence.

Produktdetails

Erscheinungsdatum: 10.04.2025
Autor/Autorin: Wei Gao
Reihe: Springer Nature Proceedings excluding Computer Science
Format: E-Book
Dateiformat: PDF
Kopierschutz: Wasserzeichen
Dateigröße: 69.2 MB
Verlag: SPRINGER
Sprache: Englisch
Umfang: 500 Seiten
ISBN: 9783031857874
Lieferung: Sofort per Download
Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.

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Geotechnical Engineering and Intelligent Disaster Prediction

€223,63

Autor/Autorin

Wei Gao

Wei Gao is an Assistant Professor at the School of Electronic and Computer Engineering, Peking University, Shenzhen, China. He earned his Ph.D. in Computer Science from the City University of Hong Kong in February 2017. Dr. Gao's research focuses on multimedia coding, multimedia processing, and multimodal learning, areas directly relevant to the topics explored in this book.

With over 160 high-quality technical papers published, Dr. Gao has contributed significantly to multimedia coding standardization, submitting more than 50 technical proposals. He is the author or co-author of two influential books, and is an elected member of the IEEE Visual Signal Processing and Communications Technical Committee (VSPC-TC), and APSIPA Image Video and Multimedia Technical Committee (IVM-TC). He serves on the editorial board of Elsevier Signal Processing, and has organized workshops at prominent conferences such as IEEE ICME and ACM MM.

In addition to his academic achievements, Dr. Gao leads several open-source projects, including OpenAICoding, OpenPointCloud, and OpenDatasets, providing valuable resources for the research community. As a Senior Member of IEEE, he is also a frequent speaker at international conferences, where he shares his expertise on deep learning and multimedia technologies.

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