Deep Learning Model Spots Ionospheric Plasma Bubbles With Unmatched Accuracy
A Huazhong Agricultural University team has developed IncResUnet, a deep learning model that detects ionospheric plasma bubbles far more reliably ...
A Huazhong Agricultural University team has developed IncResUnet, a deep learning model that detects ionospheric plasma bubbles far more reliably ...
Researchers have unveiled SURF, a fast compressible hydrodynamic modelling framework that reproduces solar wind and coronal mass ejection behaviour with ...
A new analysis of 38 J- and U-type solar radio bursts shows that these curved spectral signatures trace closed coronal ...
A new Solar Physics study shows that an M2.9 solar flare suppressed and then revived a type I radio noise ...
Researchers led by Lancaster University have shown that a famous 1841 Exeter train delay caused by space weather actually occurred ...
A new review of observations of young solar-type stars shows that superflares on stars like the infant Sun are accompanied ...
Using the AIMS telescope at Lenghu Observatory, a new Solar Physics study finds that sunspot umbrae, penumbrae and the quiet ...
An unusual multi-lane type II radio burst observed on May 29, 2024 shows that complex, inhomogeneous shock dynamics near the ...
A new EVE Level 4 Lines data product from NASA's Solar Dynamics Observatory reveals Doppler velocity patterns in solar flares, ...
A multi-spacecraft study of three 2013 streamer blowout coronal mass ejections reveals distinctive slow-to-fast kinematic profiles with acceleration transitions at ...
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© 2025 Scienmag - Science Magazine