Deep Learning Model Maps Complex Rock Fractures in Taiwanese Borehole Cores
Researchers in Taiwan developed a geology-oriented U-Net semantic segmentation framework to automatically identify natural open fractures and fault gouge in ...
Researchers in Taiwan developed a geology-oriented U-Net semantic segmentation framework to automatically identify natural open fractures and fault gouge in ...
A modeling study mapping the Banas River Basin in central India reveals that nearly eighty percent of the area exhibits ...
An integrated geophysical and hydrogeological investigation across Edo State identifies deep productive aquifers and reveals that groundwater baseflow sustains over ...
An integrated gravity and magnetic geophysical survey has mapped the subsurface rock architecture and fault contacts controlling geothermal fluid flow ...
A comparative evaluation in Bangladesh's Barishal District demonstrated that machine learning algorithms, led by Random Forest, significantly surpass conventional statistical ...
A hydrogeochemical assessment of seven newly commissioned municipal wells in Taiz, Yemen, reveals widespread geogenic fluoride contamination governed by fluorite ...
Researchers developed a combined spatial zoning and DEMATEL–AHP evaluation framework to assess geothermal water extraction suitability across sedimentary basins, applying ...
A new study in Applied Water Science shows that hydrogeological stability, not model complexity, is the primary control on groundwater ...
Researchers in Brazil demonstrated that single-station ambient seismic noise correlations can track rainfall-driven subsurface hydromechanical changes in weathered tropical soils.
A long-term geographic assessment of southern Brazil's volcanic plateau reveals that strictly protected conservation units preserved groundwater recharge potential significantly ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine