Recent developments in smart mining technology have enabled the production, collection,
and sharing of a large amount of data in real time. Therefore, research employing machine …

Machine learning is a subcategory of artificial intelligence, which aims to make computers
capable of solving complex problems without being explicitly programmed. Availability of …

In the mining process of underground metal mines, the misjudgment of rock types by on-site
technicians will have a serious negative impact on the stability evaluation of rock mass and …

A Synchrotron-based Machine learning Approach for RasTer (SMART) mineral mapping
was developed for the purpose of training a mineral classifier for characterization of …

One of the significant unconventional oil reserves in the USA is the Bakken Petroleum
System located in the Williston Basin. It is known for its complex lithology, composed of three …

The increased adoption of unmanned aerial vehicles (UAVs) may improve the productivity
and cost-effectiveness of remote sensing in the mining industry. This review's objective is to …

This is the 33th annual review of the application of atomic spectrometry to the chemical
analysis of environmental samples. This update refers to papers published approximately …

To realize online noncontact detection of the degree of chemical corrosion of stone cultural
relics, we developed a reflective fiber-optic sensor, and a theoretical model was established …

This is the 31st annual review of the application of atomic spectrometry to the chemical
analysis of environmental samples. This update refers to papers published approximately …

Machine learning is a subcategory of artificial intelligence, which aims to make computers
capable of solving complex problems without being explicitly programmed. Availability of …