首页|Reports from Isfahan University of Technology Add New Study Findings to Research in Machine Learning (Accurate Prediction of Drill Bit Penetration Rate in Rock Using Supervised Machine Learning Techniques Base on Laboratory Test Data)
Reports from Isfahan University of Technology Add New Study Findings to Research in Machine Learning (Accurate Prediction of Drill Bit Penetration Rate in Rock Using Supervised Machine Learning Techniques Base on Laboratory Test Data)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New study results on artificial intell igence have been published. According to news reporting from Isfahan University of Technology by NewsRx journalists, research stated, “Knowing the rate of penet ration of a drill bit in rocks is among the most important parameters in their b ehaviour measurement. However, the direct measurement of ROP in rocks is a high- cost and time-intensive process.”
Isfahan University of TechnologyCyborgsEmerging TechnologiesMachine Learning
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