Research

Nube Minera’s contributions to the field, including peer-reviewed articles, conference proceedings, presentations, and research reports, address the intersection of applied mathematics, earth sciences, and mining.

Geological modeling using an implicit multi-layer perceptron
2025
DOI:
State: in process
Incorporating multiple uncertainty into block valuation: Implications for economic limits and mining sequence in open-pit mines
2025
DOI:
State: in process
Development of a hybrid model combining ensemble stacking ML and kriging for estimating regionalized spatial phenomena
2025
DOI:
State: in process
A Comparison of trivariate copula-based conditional quantile
regression versus machine learning methods for estimating
copper recovery
February
2025
DOI:
 10.3390/math13040576
State: published
A Semiautomatic multi criteria method for mineral resources classification
December 2024
DOI: 10.1177/2572683824129818
State: published
Automated design of open stopes by sublevels using genetic algorithms
November 2024
DOI: 10.13140/RG.2.2.19410.77764
State: published
Mineral resources classification using machine learning
July 2024
DOI: 10.13140/RG.2.2.33364.82566
State: published
Metallurgical recovery prediction using quantile regression based on a copula model
July 2024
DOI:
10.3390/min14070691
State: published
Development of methods based on neural networks in the estimation of mineral resources
February 2024
DOI:
10.6036/11077
State: published
Application of the k-prototype clustering approach for the definition of geostatistical estimation domains
February 2023
DOI:
10.3390/math11030740
State: published
Managing traffic data through clustering and radial basis functions
March 2021
DOI:
10.3390/su13052846
State: published
Optimización de planificación de desarrollo y preparación de corto plazo en minería subterránea
December 2020
DOI: 10.35624/jminer2020.01.09
State: published
Analysis of the air quality of the basque autonomous community using spatial interpolation
May 2020
DOI:
10.3390/su12104164
State: published
Influence of the sampling density in the coestimation error of a regionalized locally stationary variable
January 2020
DOI:
10.3390/min10020090
State: published
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