Mineral characterization using scanning electron microscopy (SEM): a review of the fundamentals, advancements, and research directions

A Ali, N Zhang, RM Santos - Applied Sciences, 2023 - mdpi.com
Featured Application The focus of this review is the use of SEM imaging to gain insight into
the composition and morphology of minerals in view of predicting or understanding their …

Mineral exploration employing drones, contemporary geological satellite remote sensing and geographical information system (GIS) procedures: A review

GU Sikakwe - Remote Sensing Applications: Society and …, 2023 - Elsevier
Modern remote sensing using satellites replaced film cameras and balloons used as
platforms in aerial photography. Multispectral and hyperspectral remote sensors and …

Improving mineral resource management by accurate financial management: studying through artificial intelligence tools

X Peng, S Mousa, M Sarfraz, M Haffar - Resources Policy, 2023 - Elsevier
In recent years, with a rise in climate change, the notion of natural resource managementhas
received much attention worldwide. The heavy reliance of both developed and developing …

Artificial intelligence investments reduce risks to critical mineral supply

J Vespignani, R Smyth - Nature Communications, 2024 - nature.com
This paper employs insights from earth science on the financial risk of project developments
to present an economic theory of critical minerals. Our theory posits that back-ended critical …

[HTML][HTML] Application of percentile color intensities of borehole images for automatic fluorite grade assessment

E Li, P Segarra, JA Sanchidrián, S Gómez… - Ore Geology …, 2023 - Elsevier
This paper describes a practical application of support vector machine (SVM) for ore grading
in an underground fluorite mine. It covers all aspects from the inception of the experiments …

[HTML][HTML] Digital soil mapping of lithium in Australia

W Ng, B Minasny, A McBratney… - Earth System …, 2023 - essd.copernicus.org
With a higher demand for lithium (Li), a better understanding of its concentration and spatial
distribution is important to delineate potential anomalous areas. This study uses a digital soil …

Leveraging high-resolution long-wave infrared hyperspectral laboratory imaging data for mineral identification using machine learning methods

A Hamedianfar, K Laakso, M Middleton, T Törmänen… - Remote Sensing, 2023 - mdpi.com
Laboratory-based hyperspectral imaging (HSI) is an optical non-destructive technology used
to extract mineralogical information from bedrock drill cores. In the present study, drill core …

Digitalization solutions in the mineral processing industry: the case of GTK Mintec, Finland

A Nad, M Jooshaki, E Tuominen, S Michaux, A Kirpala… - Minerals, 2022 - mdpi.com
The technologies used in mineral process engineering are evolving. The digital mineral
processing solutions are based on advances in our ability to instrumentally measure …

[HTML][HTML] Prospectivity modelling of critical mineral deposits using a generative adversarial network with oversampling and positive-unlabelled bagging

E Farahbakhsh, J Maughan, RD Müller - Ore Geology Reviews, 2023 - Elsevier
The demand for critical minerals is rapidly increasing worldwide, yet future global supply
remains uncertain due to the difficulty in discovering new deposits using traditional methods …

ChatGPT as a Text Annotation Tool to Evaluate Sentiment Analysis on South African Financial Institutions

M Mathebula, A Modupe, V Marivate - IEEE Access, 2024 - ieeexplore.ieee.org
Social media platforms play a significant role in analyzing customer perceptions of financial
products and services in today's culture. These platforms facilitate the immediate and in …