首页|Reports Outline Machine Learning Study Results from National University of Defense Technology (Classification of Dry and Wet Periods Using Commercial Microwave Links: a One-class Classification Machine Learning Approach Based On Autoencoders)
Reports Outline Machine Learning Study Results from National University of Defense Technology (Classification of Dry and Wet Periods Using Commercial Microwave Links: a One-class Classification Machine Learning Approach Based On Autoencoders)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learning have been published. According to newsreporting out of Changsha, People’s Republic of China, by NewsRx editors, research stated, “Recently, commercialmicrowave links (CMLs) have become one of the alternative sources of precipitation information.In this technique, a core issue is the separation of data into dry and wet periods.”
ChangshaPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningNational University of Defense Technology
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