首页|Study Results from Xi’an University of Technology Update Understanding of Machin e Learning (Drought Characteristics Prediction Using a Hybrid Machine Learning M odel With Correction)
Study Results from Xi’an University of Technology Update Understanding of Machin e Learning (Drought Characteristics Prediction Using a Hybrid Machine Learning M odel With Correction)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Machine Learning have been presented. According to news reporting originating in Shaanxi, People’s Re public of China, by NewsRx journalists, research stated, “Droughtprediction is a crucial aspect of drought risk assessment, playing a significant role in effec tively minimizinglosses associated with droughts. While many previous studies h ave focused on the variations of droughtindices, understanding the impact of dr ought events requires a transformation into drought characteristicssuch as seve rity and duration.”
ShaanxiPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningXi’an University of Technol ogy
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