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机译:淡水储层中蓝细菌爆发的预警机器学习方法
School of Civil and Environmental Engineering Konkuk University Seoul 05029 Republic of Korea;
School of Civil and Environmental Engineering Konkuk University Seoul 05029 Republic of Korea;
Office for Busan Region Management of the Nakdong River Korea Water Resources Corporation (K-water) Busan 49300 Republic of Korea;
Department of Environmental Engineering Kangwon National University Cangwon-do 24341 Republic of Korea Department of Integrated Energy and Infra System Kangwon National University Gangwon-do 24341 Republic of Korea;
Department of Applied Statistics Konkuk University Seoul 05029 Republic of Korea;
School of Urban and Environmental Engineering Uban National Institute of Science and Technology Ulsan 44919 Republic of Korea;
School of Civil and Environmental Engineering Konkuk University Seoul 05029 Republic of Korea;
School of Urban and Environmental Engineering Uban National Institute of Science and Technology Ulsan 44919 Republic of Korea;
Algae alert level; Machine learning; Freshwater reservoir; Early warning;
机译:运用极限学习机预测澳门水库淡水藻华
机译:使用机器学习模型在韩国淡水和河口水库中预测叶绿素a浓度的预警方案的开发
机译:内陆利用卫星频带比和机器学习方法在富营养的TRI储层中的内陆有害的蓝藻绽放预测
机译:使用机器学习和深度学习方法预测疟疾暴发:回顾与分析
机译:拉格曼水库:展望天藻淡水藻类盛开的未来
机译:富营养化淡水水库的分层沉积物中有丰富的铁和硫氧化剂这些细菌具有一年生的蓝藻水华
机译:在中下长江流域气候变化和人为干扰的压力下,增加大湖泊和水库中的蓝藻绽放的爆发