195 citations · 311 across the 4 of their papers we have counts for
4 papers
Operational solar flare prediction model using Deep Flare Net
Naoto Nishizuka, Yuki Kubo, Komei Sugiura +2
We developed an operational solar flare prediction model using deep neural networks, named Deep Flare Net (DeFN). DeFN can issue probabilistic forecasts of solar flares in two cate…
Reliable Probability Forecast of Solar Flares: Deep Flare Net-Reliable (DeFN-R)
Naoto Nishizuka, Yûki Kubo, Komei Sugiura +2
We developed a reliable probabilistic solar flare forecasting model using a deep neural network, named Deep Flare Net-Reliable (DeFN-R). The model can predict the maximum classes o…
Verification of operational solar flare forecast: Case of Regional Warning Center Japan
Yûki Kubo, Mitsue Den, Mamoru Ishii
In this article, we discuss a verification study of an operational solar flare forecast in the Regional Warning Center (RWC) Japan. The RWC Japan has been issuing four-categorical…
Solar Flare Prediction Model with Three Machine-Learning Algorithms Using Ultraviolet Brightening and Vector Magnetogram
N. Nishizuka, K. Sugiura, Y. Kubo +3
We developed a flare prediction model using machine learning, which is optimized to predict the maximum class of flares occurring in the following 24 h. Machine learning is used to…