Advanced technologies to predict and manage extreme natural phenomena: application and impacts from first countries' experences

Crescenzi, Leonardo (A.A. 2022/2023) Advanced technologies to predict and manage extreme natural phenomena: application and impacts from first countries' experences. Tesi di Laurea in Digital and organizational innovation, Luiss Guido Carli, relatore Tommaso Federici, pp. 89. [Master's Degree Thesis]

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Abstract/Index

Literature review. Research background. Natural hazards. Artificial intelligence and machine learning application. Algorithms. Methodology. Findings. Floods case studies. Wildfire case studies. Landslides case studies. Discussion. Natural hazards. Artificial intelligence and machine learning application results.

References

Bibliografia: pp. 83-86.

Thesis Type: Master's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91)
Chair: Digital and organizational innovation
Thesis Supervisor: Federici, Tommaso
Thesis Co-Supervisor: Spagnoletti, Paolo
Academic Year: 2022/2023
Session: Autumn
Deposited by: Alessandro Perfetti
Date Deposited: 10 Jun 2024 10:52
Last Modified: 10 Jun 2024 10:52
URI: https://tesi.luiss.it/id/eprint/38832

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