Soil Type Factor Estimation Based on ERT Apparent Resistivity Using Supervised Machine Learning Models

Geologists and professionals traditionally conducted manual analysis when interpreting resistivity models acquired through geophysical techniques such as electrical resistivity tomography. It remains a challenge since it needs to be integrated with borehole drilling, which is known to be laborious,...

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Bibliographic Details

Published in:	2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) pp. 1 - 6
Main Authors:	Francisco, Kate G., Vicerra, Ryan Rhay P., Concepcion, Ronnie S., Bandala, Argel A., Fernando, Arvin H., Guillermo, Marielet A.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 19-11-2023
Subjects:	apparent resistivity values Conductivity Decision making electrical resistivity tomography Estimation Linear regression machine learning Polynomials regression Resistance Soil soil type factor estimation supervised learning
Online Access:	Get full text
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