Home > Science Articles > Peer Reviewed Articles > Bypassing the static input size of neural networks in flare forecasting by using spatial pyramid pooling > Usage statistics
 
 
Bypassing the static input size of neural networks in flare forecasting by using spatial pyramid pooling - Vong, Philippe et al - published in Astronomy & Astrophysics, 695 issue A&A (2025) - SCART-2026-0072
 
People who viewed this page also viewed:
(10)  ROB's operational final GNSS position and tropospheric delay estimates computed in the context of its E-GVAP participation (From 1 Jan 2025 until 31 Dec 2025) - Pottiaux, Eric - DATASET-2026-0001
(9)  Spatial distributions of EUV brightenings in the quiet-Sun - Nelson, C. J. et al - in press to Astronomy & Astrophysics, 692 issue id. A236 - SCART-2024-0183
(9)  uGMRT obser v ations of the hot-Saturn WASP-69b: Radio-Loud Exoplanet–Exomoon Sur v ey II (RLEES II) - Narang, Mayank et al - published in Monthly Notices of the Royal Astronomical Society, 522 issue 2, pp. 1662–1668 (2023) - SCART-2024-0086
(9)  How the area of solar coronal holes affects the properties of high-speed solar wind streams near Earth: An analytical model - Hofmeister, S. J. et al - published in Astronomy & Astrophysics, 659 (2022) - SCART-2024-0138
(9)  How high resolution observations improve our understanding of the high frequency dynamics in corona - Petrova, Elena et al - Invited talk presented at 11th Coronal Loop Workshop on 2024-06-25 - CTALK-2024-0122

Similar records

Space Pole Publications Server :: Search :: Submit :: Personalize :: Help
Powered by Invenio v1.2.1
Maintained by sarah@oma.be