Zobrazeno 1 - 10
of 832
pro vyhledávání: '"Geophysical inversion"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Geophysical DC resistivity imaging is crucial in subsurface exploration, environmental studies, and resource assessment. However, traditional inversion techniques face challenges in accurately resolving complex subsurface features because of
Externí odkaz:
https://doaj.org/article/7540c544f1304f7695b5bba4222da88f
Publikováno v:
International Journal of Numerical Methods for Heat & Fluid Flow, 2024, Vol. 34, Issue 8, pp. 3203-3222.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/HFF-10-2023-0649
Autor:
Paolo Dell'Aversana
Publikováno v:
AIMS Geosciences, Vol 10, Iss 3, Pp 641-661 (2024)
Artificial general intelligence (AGI), or strong AI, aims to replicate human-like cognitive abilities across diverse tasks and domains, demonstrating adaptability and learning like human intelligence. In contrast, weak AI refers to systems designed f
Externí odkaz:
https://doaj.org/article/53ffd62aeeae4bbca20645e2c44f37fa
Autor:
Kang Sen, Zhao Zihao
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
High and steep slopes in open pit mines used for ore production require careful monitoring to ensure stability and safeguard lives, property, and social welfare. Understanding the evolutionary characteristics of hazard sources within these slopes is
Externí odkaz:
https://doaj.org/article/d1ea3a88c2694713a1a6779130530929
Publikováno v:
Journal of the Geological Survey of Brazil, Vol 6, Iss 2 (2023)
The application of geophysical techniques to highlight and characterize magnetic and gravimetric anomalies was carried out along a research area at the southern edge of the Parnaíba Basin. This study was conducted through qualitative and quantitativ
Externí odkaz:
https://doaj.org/article/8a96a07480354889a87f4f5bd52946cb
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
Externí odkaz:
https://doaj.org/article/1e146b4735d043dcaeeb9d9a720b064e
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Paolo Dell'Aversana
Publikováno v:
AIMS Geosciences, Vol 8, Iss 3, Pp 488-502 (2022)
In this paper, we introduce a novel inversion methodology that combines the benefits offered by Reinforcement-Learning techniques with the advantages of the Epsilon-Greedy method for an expanded exploration of the model space. Among the various Reinf
Externí odkaz:
https://doaj.org/article/0a689284626c4dfc94df2971f74b779c
Publikováno v:
地球与行星物理论评, Vol 53, Iss 2, Pp 159-171 (2022)
Based on statistical theory, the Bayesian inversion method adopts the posterior probability distribution to evaluate the model parameters under the constraints of prior information and observation data. Compared to deterministic inversion theory, Bay
Externí odkaz:
https://doaj.org/article/c0c4f49138b0427ab59bf636da4d22ec
Publikováno v:
Geološki Anali Balkanskoga Poluostrva, Vol 83, Iss 2, Pp 33-52 (2022)
A large part of the Guarani Aquifer is in the state of Rio Grande do Sul (southern Brazil). Aquifer’s recharge area is in the central and western regions of the state. So, this work was focused on the municipality of Santa Cruz do Sul. Because ther
Externí odkaz:
https://doaj.org/article/2eb8970b31a1452fb97e9130eb9c4099