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Machine learning-based method enhances accuracy of measuring dip angles and directions in rock facets
Machine learning (ML) algorithms are constantly finding new applications in all scientific fields, and geological engineering ...
Researchers developed a methodology that autonomously filters unnecessary data from 3D point clouds of rock faces to accurately determine dip angles and directions-critical parameters in geological ...
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