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(12)
A Machine-learning Data Set Prepared from the NASA Solar Dynamics Observatory Mission
Astrophysical Journal Supplement Series · 2019
81
cited
Capillarity-driven flows at the continuum limit.
Soft Matter · 2015
59
cited
A deep learning virtual instrument for monitoring extreme UV solar spectral irradiance
Science Advances · 2019
34
cited
Seismic localization of elephant rumbles as a monitoring approach
Journal of the Royal Society Interface · 2021
20
cited
Seismic savanna: machine learning for classifying wildlife and behaviours using ground‐based vibration field recordings
Remote Sensing in Ecology and Conservation · 2021
20
cited
Preparing for InSight: Evaluation of the Blind Test for Martian Seismicity
Seismological Research Letters · 2019
19
cited
A complexity-driven framework for waveform tomography with discrete adjoints
Geophysical Journal International · 2020
3
cited
Drying by bubble nucleation of plant-inspired nanoscale porous media
2014
Erratum: “A Machine-learning Data Set Prepared from the NASA Solar Dynamics Observatory Mission” (2019, ApJS, 242, 7)
Astrophysical Journal Supplement Series · 2020
Insights from plants: tunable nano-flows induced by drying
2015
Solar EUV Spectral Irradiance by Deep Learning
2018
Supporting Information for " Capillary-Driven Flows at the Continuum Limit "
2016
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Alexandre Szenicer | Researcher Profile | Sotabase | Sotabase