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Classification of Solar Wind With Machine Learning
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/2014ja020412openalex-snapshot
A new four‐plasma categorization scheme for the solar wind
inferredcites →https://doi.org/10.1002/2015ja021446openalex-snapshot
Properties and geoeffectiveness of magnetic clouds during solar cycles 23 and 24
inferredcites →https://doi.org/10.1002/2016ja022686openalex-snapshot
The plasma structure of coronal hole solar wind: Origins and evolution
inferredcites →https://doi.org/10.1002/2016ja022711openalex-snapshot
Information theoretical approach to discovering solar wind drivers of the outer radiation belt
inferredcites →https://doi.org/10.1002/2016ja023142openalex-snapshot
Comparison of algorithms for determination of solar wind regimes
inferredcites →https://doi.org/10.1002/2016sw001589openalex-snapshot
Forecasting the properties of the solar wind using simple pattern recognition
inferredcites →https://doi.org/10.1007/978-1-4612-0723-8_6openalex-snapshot
Bayesian Methods for Backpropagation Networks
inferredcites →https://doi.org/10.1007/978-1-4612-0745-0openalex-snapshot
Bayesian Learning for Neural Networks
inferredcites →https://doi.org/10.1007/978-1-4612-0865-5_26openalex-snapshot
Probability Inequalities for sums of Bounded Random Variables
inferredcites →https://doi.org/10.1007/978-94-011-4762-0_20openalex-snapshot
Solar Wind Electron Proton Alpha Monitor (SWEPAM) for the Advanced Composition Explorer
inferredcites →https://doi.org/10.1007/s11207-016-0979-xopenalex-snapshot
Sources of the Slow Solar Wind During the Solar Cycle 23/24 Minimum
inferredcites →https://doi.org/10.1007/s11214-006-9017-xopenalex-snapshot
Understanding Interplanetary Coronal Mass Ejection Signatures
inferredcites →https://doi.org/10.1029/2001gl013946openalex-snapshot
The solar wind composition throughout the solar cycle: A continuum of dynamic states
inferredcites →https://doi.org/10.1029/2011ja017499openalex-snapshot
The velocity and magnetic field fluctuations of the solar wind at 1 AU: Statistical analysis of Fourier spectra and correlations with plasma properties
inferredcites →https://doi.org/10.1029/2012ja017525openalex-snapshot
Looking for evidence of mixing in the solar wind from 0.31 to 0.98 AU
inferredcites →https://doi.org/10.1029/97ja00936openalex-snapshot
Predicting solar wind structures and their geoeffectiveness
inferredcites →https://doi.org/10.1029/ja082i013p01933openalex-snapshot
On the high correlation between long-term averages of solar wind speed and geomagnetic activity
inferredcites →https://doi.org/10.1080/01621459.1963.10500830openalex-snapshot
Probability Inequalities for Sums of Bounded Random Variables
inferredcites →https://doi.org/10.1086/346185openalex-snapshot
Electron Properties and Coulomb Collisions in the Solar Wind at 1 AU:WindObservations
inferredcites →https://doi.org/10.1088/0004-637x/801/2/100openalex-snapshot
ON THE ORIGIN OF MID-LATITUDE FAST WIND: CHALLENGING THE TWO-STATE SOLAR WIND PARADIGM
inferredcites →https://doi.org/10.1109/34.735807openalex-snapshot
Bayesian classification with Gaussian processes
inferredcites →https://doi.org/10.1146/annurev-statistics-062713-085831openalex-snapshot
Probabilistic Forecasting
inferredcites →https://doi.org/10.1146/annurev.astro.45.010807.154030openalex-snapshot
A New View of the Coupling of the Sun and the Heliosphere
inferredcites →https://doi.org/10.1175/1520-0434(1997)012<0736:rdfmpf>2.0.co;2openalex-snapshot
Reliability Diagrams for Multicategory Probabilistic Forecasts
inferredcites →https://doi.org/10.5555/1756006.1953029openalex-snapshot
Gaussian Processes for Machine Learning (GPML) Toolbox
inferredcites →https://doi.org/10.7551/mitpress/3206.001.0001openalex-snapshot
Gaussian Processes for Machine Learning
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Time‐Integral Correlations of Multiple Variables With the Relativistic‐Electron Flux at Geosynchronous Orbit: The Strong Roles of Substorm‐Injected Electrons and the Ion Plasma Sheet
inferred← citeshttps://doi.org/10.1002/2017ja024650openalex-snapshot
On the Origins of the Intercorrelations Between Solar Wind Variables
inferred← citeshttps://doi.org/10.1007/978-3-032-36806-5_7openalex-snapshot
An Explainability-Driven Workflow for Interpretable Modelling of Interplanetary Plasma Parameters
inferred← citeshttps://doi.org/10.1007/s10686-025-10010-2openalex-snapshot
Solar wind speed estimate with machine learning ensemble models for LISA
inferred← citeshttps://doi.org/10.1007/s11207-020-01609-zopenalex-snapshot
Data-Driven Classification of Coronal Hole and Streamer Belt Solar Wind
inferred← citeshttps://doi.org/10.1007/s11207-024-02379-8openalex-snapshot
Classifying Different Types of Solar-Wind Plasma with Uncertainty Estimations Using Machine Learning
inferred← citeshttps://doi.org/10.1007/s41116-019-0021-0openalex-snapshot
The multi-scale nature of the solar wind
inferred← citeshttps://doi.org/10.1016/j.asr.2023.07.003openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jastp.2020.105271openalex-snapshot
What magnetospheric and ionospheric researchers should know about the solar wind
inferred← citeshttps://doi.org/10.1016/j.radphyschem.2022.110134openalex-snapshot
The impact of various instances of solar wind speed on the fluctuations of cosmic radiation in the solar minima (23, 24, and 25)
inferred← citeshttps://doi.org/10.1016/j.segan.2026.102280openalex-snapshot
Reliability-aware deep discrete neural network for robust renewable energy classification
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Unsupervised classification of fully kinetic simulations of plasmoid instability using self-organizing maps (SOMs)
inferred← citeshttps://doi.org/10.1029/2018ja025430openalex-snapshot
Exploration of a Composite Index to Describe Magnetospheric Activity: Reduction of the Magnetospheric State Vector to a Single Scalar
inferred← citeshttps://doi.org/10.1029/2018ja026005openalex-snapshot
Nine Outstanding Questions of Solar Wind Physics
inferred← citeshttps://doi.org/10.1029/2018sw001898openalex-snapshot
Multiple‐Hour‐Ahead Forecast of the Dst Index Using a Combination of Long Short‐Term Memory Neural Network and Gaussian Process
inferred← citeshttps://doi.org/10.1029/2018sw001944openalex-snapshot
Forecasting the Structure and Orientation of Earthbound Coronal Mass Ejections
inferred← citeshttps://doi.org/10.1029/2018sw002061openalex-snapshot
The Challenge of Machine Learning in Space Weather: Nowcasting and Forecasting
inferred← citeshttps://doi.org/10.1029/2019ea000997openalex-snapshot
Machine Learning Approach for Solar Wind Categorization
inferred← citeshttps://doi.org/10.1029/2019ja026580openalex-snapshot
Some Properties of the Solar Wind Turbulence at 1 AU Statistically Examined in the Different Types of Solar Wind Plasma
inferred← citeshttps://doi.org/10.1029/2019ja027518openalex-snapshot
A Statistical Analysis of the Fluctuations in the Upstream and Downstream Plasmas of 109 Strong‐Compression Interplanetary Shocks at 1 AU
inferred← citeshttps://doi.org/10.1029/2019sw002433openalex-snapshot
Medium‐Range Forecasting of Solar Wind: A Case Study of Building Regression Model With Space Weather Forecast Testbed (SWFT)
inferred← citeshttps://doi.org/10.1029/2020ja028996openalex-snapshot
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inferred← citeshttps://doi.org/10.1029/2021ja029637openalex-snapshot
Automatic Identification and New Observations of Ion Energy Dispersion Events in the Cusp Ionosphere
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inferred← citeshttps://doi.org/10.1029/2022sw003200openalex-snapshot
Exploring the Potential of Neural Networks to Predict Statistics of Solar Wind Turbulence
inferred← citeshttps://doi.org/10.1029/2022sw003327openalex-snapshot
Which Upstream Solar Wind Conditions Matter Most in Predicting Bz Within Coronal Mass Ejections
inferred← citeshttps://doi.org/10.1029/2024ja033010openalex-snapshot
Classifying Magnetic Reconnection Regions Using k‐Means Clustering: Applications to Energy Partition
inferred← citeshttps://doi.org/10.1029/2024jh000221openalex-snapshot
Clustering of Global Magnetospheric Observations
inferred← citeshttps://doi.org/10.1038/s41467-024-55641-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1051/0004-6361/201937378openalex-snapshot
Proton-proton collisional age to order solar wind types
inferred← citeshttps://doi.org/10.1051/0004-6361/201937378/pdfopenalex-snapshot
Proton-proton collisional age to order solar wind types
inferred← citeshttps://doi.org/10.1051/0004-6361/202243989openalex-snapshot
Evolution of coronal hole solar wind in the inner heliosphere: Combined observations by Solar Orbiter and Parker Solar Probe
inferred← citeshttps://doi.org/10.1051/0004-6361/202244327openalex-snapshot
Estimating uncertainties in the back-mapping of the fast solar wind
inferred← citeshttps://doi.org/10.1051/0004-6361/202346714openalex-snapshot
Scope and limitations of ad hoc neural network reconstructions of solar wind parameters
inferred← citeshttps://doi.org/10.1051/0004-6361/202451686openalex-snapshot
On Alfvénic turbulence of solar wind streams observed by Solar Orbiter during March 2022 perihelion and their source regions
inferred← citeshttps://doi.org/10.1051/0004-6361/202452845openalex-snapshot
Challenges in identifying the coronal hole wind
inferred← citeshttps://doi.org/10.1051/0004-6361/202554265openalex-snapshot
Clustering Wind data at 1 AU to contextualize magnetic reconnection in the solar wind
inferred← citeshttps://doi.org/10.1051/0004-6361/202558566openalex-snapshot
Alfvénic solar wind intervals observed by Solar Orbiter: Exploiting the capability of the SWA plasma suite and source region investigation
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Sparse regression for plasma physics
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inferred← citeshttps://doi.org/10.1093/mnras/stab2281openalex-snapshot
Plasma Properties, Switchback Patches and Low $\alpha$-Particle Abundance in Slow Alfv\'enic Coronal Hole Wind at 0.13 au
inferred← citeshttps://doi.org/10.1093/mnras/sty1211openalex-snapshot
Helium abundance and speed difference between helium ions and protons in the solar wind from coronal holes, active regions, and quiet Sun
inferred← citeshttps://doi.org/10.1093/mnras/sty3348openalex-snapshot
Radial evolution of the solar wind in pure high-speed streams: HELIOS revised observations
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inferred← citeshttps://doi.org/10.22541/essoar.168202115.54861110/v1openalex-snapshot
Influence of solar wind parameters on unsupervised solar wind classification with k-means
inferred← citeshttps://doi.org/10.3389/fspas.2020.00020openalex-snapshot
Plasma and Magnetic-Field Structure of the Solar Wind at Inertial-Range Scale Sizes Discerned From Statistical Examinations of the Time-Series Measurements
inferred← citeshttps://doi.org/10.3389/fspas.2020.00024openalex-snapshot
Classification of Magnetosheath Jets Using Neural Networks and High Resolution OMNI (HRO) Data
inferred← citeshttps://doi.org/10.3389/fspas.2020.00055openalex-snapshot
Automatic Classification of Plasma Regions in Near-Earth Space With Supervised Machine Learning: Application to Magnetospheric Multi Scale 2016–2019 Observations
inferred← citeshttps://doi.org/10.3389/fspas.2020.553207openalex-snapshot
Visualizing and Interpreting Unsupervised Solar Wind Classifications
inferred← citeshttps://doi.org/10.3389/fspas.2020.617113openalex-snapshot
On the Variation of Intermittency of Fast and Slow Solar Wind With Radial Distance, Heliospheric Latitude, and Solar Cycle
inferred← citeshttps://doi.org/10.3389/fspas.2021.646443openalex-snapshot
Exploring the Properties of the Electron Strahl at 1 AU as an Indicator of the Quality of the Magnetic Connection Between the Earth and the Sun
inferred← citeshttps://doi.org/10.3389/fspas.2021.710851openalex-snapshot
Solar Wind Plasma Properties During Ortho-Parker IMF Conditions and Associated Magnetosheath Mirror Instability Response
inferred← citeshttps://doi.org/10.3389/fspas.2022.875985openalex-snapshot
Classification of Cassini’s Orbit Regions as Magnetosphere, Magnetosheath, and Solar Wind via Machine Learning
inferred← citeshttps://doi.org/10.3389/fspas.2022.980759openalex-snapshot
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inferred← citeshttps://doi.org/10.3847/2041-8213/ad81f9openalex-snapshot
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inferred← citeshttps://doi.org/10.3847/2041-8213/ae3820openalex-snapshot
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inferred← citeshttps://doi.org/10.70675/6bd46f10z9861z44f3z82bfz3fea6c7511edopenalex-snapshot
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Intelligence artificielle et prévision de l'impact de l'activité solaire sur l'environnement magnétique terrestre
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