Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Victor Miguel-Silva"'
Autor:
Victor Miguel Silva
Publikováno v:
REM: International Engineering Journal, Vol 74, Iss 3, Pp 379-389 (2021)
Abstract Checking and treating extreme values is commonplace in modelling workflows. The main methods to manage outliers may be categorized into graphical, Kriging- and simulation-based approaches. While graphical methods usually classify outliers fr
Externí odkaz:
https://doaj.org/article/c1aa0854926e4833b3337e950d1854c2
Samples used in the mining industry are affected by sampling and analytical errors. An approach called filtered kriging with parametric error (FKPE) is proposed. FKPE is defined by the spatial continuity model of the underlying process of interest an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e083a659405f644fdea852fc2a0ae1e3
https://doi.org/10.21203/rs.3.rs-2557618/v1
https://doi.org/10.21203/rs.3.rs-2557618/v1
Publikováno v:
Applied Earth Science. 129:147-153
Geoscientific datasets can contain individual data for more than 50 different chemical elements. The association between these variables is as important as their individual values. However, it is c...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21b5791f8f559d035c2528e54f4c94bb
https://doi.org/10.1080/25726838.2020.1727126
https://doi.org/10.1080/25726838.2020.1727126
Publikováno v:
Applied Earth Science. 127:106-112
Large geochemical datasets are commonly composed of several subgroups of measurements with a diverse level of uncertainty. Ignoring data quality and heterogeneity by pooling all data together leads...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a6c06f23eb6b6901bf6c1b1c2c15bb4
https://doi.org/10.1080/25726838.2018.1497245
https://doi.org/10.1080/25726838.2018.1497245
Publikováno v:
Applied Earth Science. 125:214-220
Geological and grade models in the mining industry provide information that is used from the project phase until the short-term planning phase. Since model precision and accuracy depends strongly on data quality, data generation is subject to quality
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6348d3e1d24c7d5250de977f26c28f50
https://doi.org/10.1080/03717453.2016.1230972
https://doi.org/10.1080/03717453.2016.1230972
Autor:
Victor Miguel Silva
Publikováno v:
Exatas & Engenharia. 7
Diversos fenômenos como dados do relevo ou horizontes pedológicos são tipicamente representados por um ou vários modelos digitais de terreno (MDT), possibilitando a visualização ou cálculos de interesse da propriedade modelada. Em feições re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2fc106f53b4b266787d2425802535f3
https://doi.org/10.25242/885x7192017648
https://doi.org/10.25242/885x7192017648
Publikováno v:
REM-International Engineering Journal, Volume: 69, Issue: 4, Pages: 491-496, Published: DEC 2016
REM-International Engineering Journal v.69 n.4 2016
REM-International Engineering Journal
Fundação Gorceix (FG)
instacron:FG
REM: International Engineering Journal, Vol 69, Iss 4, Pp 491-496
Repositório Institucional da UFRGS
Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
REM-International Engineering Journal v.69 n.4 2016
REM-International Engineering Journal
Fundação Gorceix (FG)
instacron:FG
REM: International Engineering Journal, Vol 69, Iss 4, Pp 491-496
Repositório Institucional da UFRGS
Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
Data quality control programs used in the mineral industry normally define tolerance limits based on values considered as good practice or those that have previously been applied to similar deposits, although the precision and accuracy of estimates d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbfa476c7c78d36674730d4054aef09d
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2016000400491&lng=en&tlng=en
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2016000400491&lng=en&tlng=en
Publikováno v:
REM: International Engineering Journal, Vol 69, Iss 4, Pp 491-496
Abstract Data quality control programs used in the mineral industry normally define tolerance limits based on values considered as good practice or those that have previously been applied to similar deposits, although the precision and accuracy of es
Externí odkaz:
https://doaj.org/article/14207218a16945f1aa179bdab2b0cd57