Robotics & Machine Learning Daily News2024,Issue(MAY.3) :96-97.

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)

Robotics & Machine Learning Daily News2024,Issue(MAY.3) :96-97.

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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Abstract

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.”

Key words

George Town/Malaysia/Asia/Cyborgs/Em erging Technologies/Machine Learning/Science University of Malaysia

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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