机译:成本损失率情况下决策在太阳耀斑预测中的应用
Space Science Division, Korea Astronomy and Space Science Institute, Daejeon, South Korea, School of Space Research, Kyung Hee University, Yongin, South Korea;
School of Space Research, Kyung Hee University, Yongin, South Korea;
Space Science Division, Korea Astronomy and Space Science Institute, Daejeon, South Korea;
Space Science Division, Korea Astronomy and Space Science Institute, Daejeon, South Korea;
Space Science Division, Korea Astronomy and Space Science Institute, Daejeon, South Korea;
School of Space Research, Kyung Hee University, Yongin, South Korea, Meteorological Satellite Ground Segment Development Center, Electronics and Telecommunications Research Institute, Daejeon, South Korea;
Predictive models; Weather forecasting; Decision making; Economics; Testing; Computational modeling;
机译:耀斑预测方法的比较。 II。 运营太阳耀斑预测系统的基准测试,指标和性能结果
机译:深卷积神经网络在全盘太阳磁图预测太阳耀斑发生中的应用
机译:验证运行中的太阳耀斑预报:以日本区域预警中心为例
机译:太阳能光伏发电预测和运维管理应用:综述
机译:太阳耀斑中能量释放和大气层蒸发的多波长研究
机译:EpiCaster:用于评估全球流行情况的集成Web应用程序
机译:耀斑预测方法的比较。 III。运营太阳耀斑预测系统的系统行为
机译:感知器在太阳耀斑预测中的应用研究。太阳耀斑预测与识别自动机最终报告,第二阶段