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  Combining sequential Gaussian co-simulation and Monte Carlo dropout-based deep learning models for geochemical anomaly detection and uncertainty assessment
 
 
Title: Combining sequential Gaussian co-simulation and Monte Carlo dropout-based deep learning models for geochemical anomaly detection and uncertainty assessment
Author: Huang, Dazheng
Zuo, Renguang
Wang, Jian
Tolosana-Delgado, Raimon
Appeared in: Applied geochemistry
Paging: Volume 184 () nr. C pages p.
Year: 2025
Contents:
Publisher: Elsevier Ltd
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 2 of 19 found articles
 
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