Soil Type Factor Estimation Based on ERT Apparent Resistivity Using Supervised Machine Learning Models-Reference-Cited by-同舟云学术

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

Published:2023-11-19 Issue: Volume:152 Page:1-6
ISSN:
Container-title:2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)
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Author:

Francisco Kate G.¹,Vicerra Ryan Rhay P.¹,Concepcion Ronnie S.¹,Bandala Argel A.²,Fernando Arvin H.³,Guillermo Marielet A.¹

Affiliation:

1. De La Salle University,Department of Manufacturing Engineering and Management,Manila,Philippines

2. Center for Engineering and Sustainability Development Research, De La Salle University,Manila,Philippines

3. De La Salle University,Department of Mechanical Engineering,Manila,Philippines

Funder

Department of Science and Technology (DOST)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10588998/10589001/10589097.pdf?arnumber=10589097

Reference22 articles.

1. Healthy soils: The backbone of productive, safe and sustainable urban agriculture

2. Soils and sustainable development goals of the United Nations: An International Union of Soil Sciences perspective

3. Systematic Analysis of the Implementation of Sustainable Development Goals on Energy, Industrialization, Infrastructure, and Innovation: A Multifaceted Philippines

4. Investigation of Relationship between Geotechnical Parameters and Electrical Resistivity of Sandy Soils

5. Analyzing Geotechnical Characteristics of Soils in Erbil via GIS and ANNs

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