Szczegóły publikacji
Opis bibliograficzny
Can artificial intelligence predict a tsunami? / Daria WÓJCIK, Alicja Niewiadomska, Maciej PASZYŃSKI // Computer Science ; ISSN 1508-2806 . — 2025 — vol. 26 no. 4, s. 163–180. — Bibliogr. s. 179–180, Abstr. — Publikacja dostępna online od: 2025-12-28
Autorzy (3)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 165267 |
|---|---|
| Data dodania do BaDAP | 2026-01-07 |
| Tekst źródłowy | URL |
| DOI | 10.7494/csci.2025.26.4.7773 |
| Rok publikacji | 2025 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Computer Science |
Abstract
In this article, we build a model for tsunami simulation based on physics-informed neural networks and the finite difference method. We then check how the numerical results obtained using these two methods differ from each other. Assuming that the finite difference method gives accurate results, we estimate the error resulting from the use of physics-informed neural networks. We compare this estimate with surveys conducted among computer science students in order to assess the level of public trust among specialists in the numerical results obtained using artificial intelligence tools. In particular, we assess how reliable tsunami predictions obtained using physics-informed neural networks are and what the public perception of the reliability of such predictions is.
