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Showing 1 to 3 of 3 for “"grade estimation"”.
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Implementation and comparative analysis of supervised machine learning methods for domain modeling and grade estimation techniques
… complex data sets for domain analysis and grade estimation. This research introduces novel geospatial estimation methods, validated through a case study on geological domains using Supervised Machine Learning methods. A comprehensive comparison analysis of various modeling and grade …
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A Comparative Study of Machine Learning and Traditional Techniques for Grade Prediction and Grade-Tonnage Evaluation in a Small VMS Deposit
Small-scale, high-grade volcanogenic massive sulfide (VMS) deposits present unique challenges for resource estimation due to their strong grade variability and complex geological structures. This thesis evaluates whether machine learning methods can improve grade prediction and tonnage estimation …
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Volcanology and geochemistry of selected kimberlites from the Lulo kimberlite field, Angola
… studied and fewer than 5% have economic diamond grades (Pereira et al., 2003). With ongoing exploitation of predominantly high-grade alluvial deposits, depletion of the diamond reserves demands continual and improved exploration of primary sources. Alluvial diamond mining within the Lulo Field …