首页|Researchers from National Atmospheric Research Laboratory Report on Findings in Machine Learning (Nowcasting of Storms Using Predicted Integrated Water Vapor Wi th a Machine Learning Technique and Satellite Brightness Temperature)
Researchers from National Atmospheric Research Laboratory Report on Findings in Machine Learning (Nowcasting of Storms Using Predicted Integrated Water Vapor Wi th a Machine Learning Technique and Satellite Brightness Temperature)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating in Gadanki, Indi a, by NewsRx journalists, research stated, “A hybrid model fornowcasting of sto rms has been developed by employing predicted integrated water vapor (IWV) with lightgradient boosting machine (GBM) on Global Navigation Satellite System (GNS S) receiver data collectedat Gadanki (13.46 degrees N, 79.17 degrees E) and est imated thresholds for three storm predictors. Theutilization of predicted IWV a llows more lead time for disaster preparedness.”
GadankiIndiaAsiaCyborgsEmerging TechnologiesMachine LearningNational Atmospheric Research Laboratory