Systematic Review of Machine Learning Applications in
2020年12月8日 Therefore, research employing machine learning (ML) that utilizes these data is being actively conducted in the mining
A review of machine learning applications for underground mine
2022年8月1日 Machine learning applications are increasingly becoming apparent in facets of underground mining areas such as exploration, exploitation, reclamation and
Deep learning implementations in mining applications: a compact ...
2023年5月11日 The increased automation adoption in mining provides an avenue for wider application of deep learning as an element within a mine automation framework.
Machine learning applications in minerals processing: A review
2019年3月1日 Machine learning applications in mineral processing from 2004 to 2018 are reviewed. • Data-based modelling; fault detection and diagnosis; and machine vision
Machine Learning-Based Mapping for Mineral Exploration
2023年8月22日 We briefly review the state-of-the-art machine learning (ML) algorithms for mineral exploration, which mainly include random forest (RF), convolutional neural
Machine learning for open-pit mining: a systematic review
2024年6月20日 Based on such a bi-level classification, we systematically summarise promising machine learning techniques (i.e. reinforcement learning and deep
(PDF) Artificial Intelligence, Machine Learning, and
2019年9月2日 Artificial intelligence, machine learning, and autonomous technologies provide many economic benefits for the mining industry through cost reduction, efficiency, and...
Mining: Exploration, Exploitation, and Reclamation
2021年1月31日 ML applications in mining, which includes mineral exploration, exploitation, and mine reclamation. Therefore, this study systematically reviews the methods used by
[2306.10341] Tailoring Machine Learning for Process Mining
2023年6月17日 Tailoring Machine Learning for Process Mining. Machine learning models are routinely integrated into process mining pipelines to carry out tasks
