ARTIFICIAL NEURAL NETWORK FOR PREDICTION OF LAND SUBSIDENCE IN MUDSLIDES REGION THROUGH INSAR AND RAIN DATA

Autor: A. Bettio, F. Sansone, A. Francesconi

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W2-2023, Pp 399-404 (2023)

Mudslides are powerful and fast-moving mass movements that pose significant risks to human lives, infrastructure, and natural environments. They are commonly triggered by intense rainfall and their impact is particularly severe in mountainous regions

Externí odkaz: https://doaj.org/article/4d2deaf33f1846b784e40eb2c54e1352

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Expert consensus on the treatment of patients with adult-onset still's disease with the goal of achieving an early and long-term remission

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