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Structural Health Monitoring Based on Data Science Techniques - Structural Integrity 2022 edition
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Structural Health Monitoring Based on Data Science Techniques - Structural Integrity
The modern structural health monitoring (SHM) paradigm of transforming in situ, real-time data acquisition into actionable decisions regarding structural performance, health state, maintenance, or life cycle assessment has been accelerated by the rapid growth of “big data” availability and advanced data science.
484 pages, 268 Illustrations, color; 45 Illustrations, black and white; XV, 484 p. 313 illus., 268 i
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2022. gada 25. oktobris |
| ISBN13 | 9783030817183 |
| Izdevēji | Springer Nature Switzerland AG |
| Lapas | 484 |
| Izmēri | 150 × 220 × 10 mm · 759 g |
| Valoda | Vācu |
| Redaktors | Cury, Alexandre |
| Redaktors | Ribeiro, Diogo |
| Redaktors | Todd, Michael D. |
| Redaktors | Ubertini, Filippo |
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