A total of 45% of employers and a staggering 71% of mining training providers responded that they have never had exposure to 4IR training.

Geospatial modeling methods have become an important tool for environmental monitoring, which is used to manage environmental ...

Indonesia’s parliament is fast-tracking amendments to the country’s mining law, in a move that could reshape the country’s ...

As the industry evolves, several geological software solutions have emerged as the top choices for geologists, mining ...

Sand mining, construction, car washing appear to be main problem – experts say ANALYSIS | RONALD MUSOKE | Ignorance or lack ...

ST-CSFNet enhances REM forecasting accuracy through multiscale temporal analysis, capturing sequence dynamics across intervals, and by assessing spatial correlations, it accurately extracts spatial ...

Ai-driven underground mining drones are revolutionizing ... imagery and point cloud data for surface operations, further optimizing mine planning and spatial analysis. For More Insights into ...

JavaScript Data Grid / Data Table with a Spreadsheet Look & Feel. Works with React, Angular, and Vue. Supported by the Handsontable team ⚡ ...

A sparse conformal finite difference time domain (SC-FDTD) method specifically adapted to the SC-MG approach is also developed, which uses sparse storage to reduce the spatial redundancy of the FDTD ...

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are ...