Zobrazeno 1 - 10
of 164
pro vyhledávání: '"Xavier Emery"'
Autor:
Parag Jyoti Dutta, Xavier Emery
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 2, p 025013 (2024)
Rock type classification is crucial for evaluating mineral resources in ore deposits and for rock mechanics. Mineral deposits are formed in a variety of rock bodies and rock types. However, the rock type identification in drill core samples is often
Externí odkaz:
https://doaj.org/article/28a1202dde3746ab8011229c704cb60f
Publikováno v:
Natural Resources Research. 32:1147-1175
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::882b06b15310927a011b8416a239e52f
https://doi.org/10.1007/s11053-023-10198-0
https://doi.org/10.1007/s11053-023-10198-0
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0b002e877155dda937e18e879343dbd
https://doi.org/10.1007/s00477-022-02347-3
https://doi.org/10.1007/s00477-022-02347-3
Publikováno v:
Mathematical Geosciences. 55:541-562
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edc46ac42673191745a654ef849ef266
https://doi.org/10.1007/s11004-022-10030-0
https://doi.org/10.1007/s11004-022-10030-0
Autor:
Xavier Emery, Emilio Porcu
Publikováno v:
Computational and Applied Mathematics. 42
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d629c3da40e4dbc0649eb20188330f6
https://doi.org/10.1007/s40314-023-02275-0
https://doi.org/10.1007/s40314-023-02275-0
Publikováno v:
Mathematical Geosciences. 54:1043-1068
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08cc717b634065d9fcd9cd9a03306faa
https://doi.org/10.1007/s11004-022-10000-6
https://doi.org/10.1007/s11004-022-10000-6
Autor:
Xavier Emery, Emilio Porcu
Publikováno v:
Journal of Mathematical Analysis and Applications. 525:127194
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85453b165b8b5eef41845786f56f0ba8
https://doi.org/10.1016/j.jmaa.2023.127194
https://doi.org/10.1016/j.jmaa.2023.127194
Publikováno v:
Springer Proceedings in Earth and Environmental Sciences ISBN: 9783031198441
The nonseparable Gneiting covariance has become a standard to model spatio-temporal random fields. Its definition relies on a completely monotone function associated with the spatial structure and a conditionally negative semidefinite function associ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64f973f8ab6f776c2502fe2c0645e568
https://doi.org/10.1007/978-3-031-19845-8_4
https://doi.org/10.1007/978-3-031-19845-8_4
Publikováno v:
Mathematical Geosciences. 54:711-743
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f02712d187f820ccb403c4bc2444e1e
https://doi.org/10.1007/s11004-021-09984-4
https://doi.org/10.1007/s11004-021-09984-4
Publikováno v:
Minerals; Volume 12; Issue 12; Pages: 1599
Modeling the spatial dependence structure of metal grades in the presence of soft boundaries between geological domains is challenging in any mineral resource estimation strategy. The aim of this work was to propose a structural model adapted to this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85b8ea712b33bf39f02c2856c22a58f3