首页|Data from Indian School of Mines Provide New Insights into Machine Learning (Ass essment of Hemm Operators’ Risk Exposure Due To Whole-body Vibration In Undergro und Metalliferous Mines Using Machine Learning Techniques)
Data from Indian School of Mines Provide New Insights into Machine Learning (Ass essment of Hemm Operators’ Risk Exposure Due To Whole-body Vibration In Undergro und Metalliferous Mines Using Machine Learning Techniques)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingfrom Dhanbad, India, by NewsRx journ alists, research stated, “Whole-body vibration (WBV) is a substantialoccupation al health and safety hazard to heavy earth-moving machinery (HEMM) operators. Th ereis a need to appraise the effect of WBV jeopardize and the factors influenci ng the WBV risk exposure onthe HEMM operators.”
DhanbadIndiaAsiaCyborgsEmerging TechnologiesMachine LearningIndian School of Mines
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NSTL
