A machine learning-assisted geophysical–geotechnical approach for improved engineering site assessment
A machine learning-assisted geophysical–geotechnical framework that integrates Electrical Resistivity Tomography, Seismic Refraction Tomography, and borehole-derived Standard Penetration Test data to improve subsurface characterization and engineering site assessment is presented.