SEOUL, South Korea, Jan. 30, 2025 /PRNewswire/ -- Machine learning (ML) algorithms are constantly finding new applications in all scientific fields, and geological engineering is no exception.

SEOUL, South Korea, Jan. 30, 2025 /PRNewswire/ -- Machine learning (ML) algorithms are constantly finding new applications in all scientific fields, and geological engineering is no exception. Over ...

Revival Gold is a pure gold, mine developer operating in the western United States. The Company is advancing engineering and ...

Researchers at Seoul National University of Science and Technology (SEOULTECH) have developed a machine learning-based method to improve geological assessments of rock faces. The technique, called ...

A new report published by the JMO Geothermal Commission highlights the current state and future potential of geothermal ...

Over the last decade, researchers have developed various ML-based techniques to determine geological features more effortlessly in rocks, such as the dip angle and direction of rock facets in tunnels.

Thus, methods that can eliminate joint bands from input data can increase the accuracy of ML-based techniques, leading to more precise geological assessments. To fulfill this challenge ...