首页|Researchers at China Institute of Water Resources and Hydropower Research Report New Data on Machine Learning (Lai-enhanced Analytical Modeling and Machine Lear ning Predictions of Vegetative Flow Resistance With Application In Meander Evolu tion ...)
Researchers at China Institute of Water Resources and Hydropower Research Report New Data on Machine Learning (Lai-enhanced Analytical Modeling and Machine Lear ning Predictions of Vegetative Flow Resistance With Application In Meander Evolu tion ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating from Beijing, Pe ople’s Republic of China, by NewsRx correspondents, research stated, “Riparian v egetation imposes complex flow resistance, influencing hydraulics and morphodyna mics of meandering rivers. Analytical characterizations remain limited regarding flexible foliage reconfiguration and leaf area index (LAI) impacts.” Funders for this research include Significant Science and Technology Project of the Ministry of Water Resources, China, Basic Scientific Research Project of the China Institute of Water Resources and Hydropower Research, National Natural Sc ience Foundation of China (NSFC), Open Research Fund of Key Laboratory of Sedime nt Science and Northern River Training, Ministry of Water Resources, China Insti tute of Water Resources and Hydropower Research.
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningChina Institute of Water Re sources and Hydropower Research
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