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20192025
most cited3D shape sensing and deep learning-based segmentation of strawberries

44 citations · 92 across the 9 of their papers we have counts for

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2 papers · 1 filter

physics.space-ph2025★ 2 cited

Beacon2Science: Enhancing STEREO/HI beacon data with machine learning for efficient CME tracking

Justin Le Louëdec, Maike Bauer, Tanja Amerstorfer +1

Observing and forecasting coronal mass ejections (CME) in real-time is crucial due to the strong geomagnetic storms they can generate that can have a potentially damaging effect, f…

physics.space-ph2024★ 20 cited

First observations of a geomagnetic superstorm with a sub-L1 monitor

Eva Weiler, Christian Möstl, Emma E. Davies +10

Forecasting the geomagnetic effects of solar coronal mass ejections (CMEs) is currently an unsolved problem. CMEs, responsible for the largest values of the north-south component o…