首页|New Machine Learning Study Results from Science University of Malaysia Described (A Novel Machine Learning Approach for Interpolating Seismic Velocity and Elect rical Resistivity Models for Early-stage Soil-rock Assessment)
New Machine Learning Study Results from Science University of Malaysia Described (A Novel Machine Learning Approach for Interpolating Seismic Velocity and Elect rical Resistivity Models for Early-stage Soil-rock Assessment)
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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 fromGeorge Town, Malaysia, by NewsRx jou rnalists, research stated, “Identifying near-surface lithologicalconditions is crucial for investigations such as building foundations, engineering projects, a nd groundwaterresources, among others. Geotechnical drilling has limitations in collecting data from precise locations.”
George TownMalaysiaAsiaCyborgsEm erging TechnologiesMachine LearningScience University of Malaysia
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