首页|Findings on Machine Learning Detailed by Investigators at Federation University Australia (Advanced Predictive Modelling of Electrical Resistivity for Geotechni cal and Geo-environmental Applications Using Machine Learning Techniques)
Findings on Machine Learning Detailed by Investigators at Federation University Australia (Advanced Predictive Modelling of Electrical Resistivity for Geotechni cal and Geo-environmental Applications Using Machine Learning Techniques)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in Machine Learning. According to news reporting originatingfrom Ballarat, Australia, by NewsRx correspondents, research stated, “Electrical Resistivity (ER)is one of t he best geophysical methods for subsurface investigation, especially for geotech nical and geoenvironmentalstudies. Being non-invasive, economical and rapid, t his method is highly preferable togeotechnical engineers for continuous evaluat ion of soil properties along the resistivity profile.”
BallaratAustraliaAustralia and New Z ealandCyborgsEmerging TechnologiesMachine LearningFederation University Australia
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