436 citations · 1.5k across the 13 of their papers we have counts for
13 papers
STORMY : A Real-time Triggering Framework using Yamagawa Solar Spectrograph for Active Solar Emission Observations with the MWA
Deepan Patra, Devojyoti Kansabanik, Divya Oberoi +5
Some of the most interesting insights into solar physics and space weather come from studying radio emissions associated with solar activity, which remain inherently unpredictable.…
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…
Deep Flare Net (DeFN) model for solar flare prediction
Naoto Nishizuka, Komei Sugiura, Yuki Kubo +2
We developed a solar flare prediction model using a deep neural network (DNN), named Deep Flare Net (DeFN). The model can calculate the probability of flares occurring in the follo…
Flux Rope Breaking and Formation of a Rotating Blowout Jet
Navin Chandra Joshi, Naoto Nishizuka, Boris Filippov +2
We analyzed a small flux rope eruption converted into a helical blowout jet in a fan-spine configuration using multi-wavelength observations taken by SDO, which occurred near the l…
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…