… Given the crucial role of mineralogical monitoring at every … with exploiting valuable information
out of mineralogical data, we … In other words, this review focuses on the applications of ML …

… machine methods and then present a literature review of machine learning methods relevant
to the mineral … amounts and quantities that can be economically exploited. Any ore-forming …

… the state of machine learning applications in mineral processing: … This literature survey will
attempt to equip researchers and … methods that can exploit the information-content of simple …

… Based on literature review of papers in three journals: Journal of Geochemical Exploration,
… nonlinear mapping, and exploit the information contained in a dataset without assumption of …

… Given the crucial role of mineralogical monitoring at every … with exploiting valuable information
out of mineralogical data, we … In other words, this review focuses on the applications of ML …

… in mineral exploration, this study will contribute to the development of … A systematic review
on the application of machine learning in exploiting mineralogical data in mining and mineral …

… The mineral systems approach was used to translate our understanding of the skarn Cu
mineral … that the three machine learning models presented in this study achieved satisfactory …

… for big and complex data analysis. This study proposes a new machine learning-based …
with exploring critical mineral deposits, such as the shortage of known mineral occurrences, …

… machine learning algorithms using scarce training data. The aim of this study is to test the
capabilities of four machine learning … locations, corresponding to exploited deposits and known …

… Then, we exploited this detailed mineralogical information in the resampled … applying two
well-known supervised machine learning classifiers, random forest and support vector machine…