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Long-Term Structural Health Monitoring by Remote Sensing and Advanced Machine Learning: A Practical Strategy via Structural Displacements from Synthetic Aperture Radar Images - SpringerBriefs in Applied Sciences and Technology Alireza Entezami 2024 edition
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Long-Term Structural Health Monitoring by Remote Sensing and Advanced Machine Learning: A Practical Strategy via Structural Displacements from Synthetic Aperture Radar Images - SpringerBriefs in Applied Sciences and Technology
Alireza Entezami
This book offers an in-depth investigation into the complexities of long-term structural health monitoring (SHM) in civil structures, specifically focusing on the challenges posed by small data and environmental and operational changes (EOCs).
110 pages, 40 Illustrations, color; 2 Illustrations, black and white; XVII, 110 p. 42 illus., 40 ill
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2024. gada 22. februāris |
| ISBN13 | 9783031539947 |
| Izdevēji | Springer International Publishing AG |
| Lapas | 110 |
| Izmēri | 150 × 220 × 10 mm · 226 g |
| Valoda | Vācu |
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