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Survey and prediction of the ionospheric scintillation using data mining techniques
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/c2009-0-19715-5openalex-snapshot
Data Mining: Practical Machine Learning Tools and Techniques
inferredcites →https://doi.org/10.1016/j.asr.2009.03.017openalex-snapshot
Occurrence and zonal drifts of small-scale ionospheric irregularities over an equatorial station during solar maximum – Magnetic quiet and disturbed conditions
inferredcites →https://doi.org/10.1016/j.jastp.2004.07.010openalex-snapshot
Forecasting the occurrence of ionospheric scintillation activity in the equatorial ionosphere on a day-to-day basis
inferredcites →https://doi.org/10.1016/s0169-7161(04)24011-1openalex-snapshot
Classification and Regression Trees, Bagging, and Boosting
inferredcites →https://doi.org/10.1016/s0273-1177(00)00138-1openalex-snapshot
The evolution of the DGR approach to model electron density profiles
inferredcites →https://doi.org/10.1016/s1364-6826(00)00201-7openalex-snapshot
Outstanding problems in the equatorial ionosphere–thermosphere electrodynamics relevant to spread F
inferredcites →https://doi.org/10.1017/s0373463307004006openalex-snapshot
Mapping and Survey of Plasma Bubbles over Brazilian Territory
inferredcites →https://doi.org/10.1029/1999ja900271openalex-snapshot
Effects of the vertical plasma drift velocity on the generation and evolution of equatorial spread F
inferredcites →https://doi.org/10.1029/1999rs002310openalex-snapshot
Fading timescales associated with GPS signals and potential consequences
inferredcites →https://doi.org/10.1029/2000rs002393openalex-snapshot
Global Ionospheric Propagation Model (GIM): A propagation model for scintillations of transmitted signals
inferredcites →https://doi.org/10.1029/2001ja001116openalex-snapshot
Ionospheric effects of major magnetic storms during the International Space Weather Period of September and October 1999: GPS observations, VHF/UHF scintillations, and in situ density structures at middle and equatorial latitudes
inferredcites →https://doi.org/10.1029/2001rs002498openalex-snapshot
A radio wave scattering algorithm and irregularity model for scintillation predictions
inferredcites →https://doi.org/10.1029/2009ja014788openalex-snapshot
Scintillation‐producing Fresnel‐scale irregularities associated with the regions of steepest TEC gradients adjacent to the equatorial ionization anomaly
inferredcites →https://doi.org/10.1029/94rs03172openalex-snapshot
An improved model of equatorial scintillation
inferredcites →https://doi.org/10.1029/95gl00390openalex-snapshot
Time dependent response of equatorial ionospheric electric fields to magnetospheric disturbances
inferredcites →https://doi.org/10.1029/97ja02165openalex-snapshot
Storm time dependence of equatorial disturbance dynamo zonal electric fields
inferredcites →https://doi.org/10.1029/ja086ia04p02451openalex-snapshot
A theoretical comparison between apparent and real vertical ionization drift velocities in the equatorial F region
inferredcites →https://doi.org/10.1029/jz071i023p05559openalex-snapshot
lonization transport effects in the equatorialFregion
inferredcites →https://doi.org/10.1029/rs019i003p00687openalex-snapshot
Modeling and scientific application of scintillation results
inferredcites →https://doi.org/10.1029/rs021i003p00331openalex-snapshot
New techniques in ground‐based ionospheric sounding and studies
inferredcites →https://doi.org/10.1049/el:19970692openalex-snapshot
Degradation of navigational accuracy with globalpositioning system during periods of scintillation at equatorial latitudes
inferredcites →https://doi.org/10.1109/36.921409openalex-snapshot
Development and use of a GPS ionospheric scintillation monitor
inferredcites →https://doi.org/10.1590/s0102-261x1999000200017openalex-snapshot
Estudos de derivas ionosféricas por meio de ionossondas digitais
inferredcites →https://doi.org/10.5194/angeo-22-3513-2004openalex-snapshot
Multi-technique investigations of storm-time ionospheric irregularities over the São Luís equatorial station in Brazil
inferredcites →https://doi.org/10.5860/choice.49-3305openalex-snapshot
Data mining: concepts and techniques
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4682905openalex-extracted
Neural Network-Generated Simulation of Ionospheric Amplitude Scintillation Using GAN-Based Approach
inferred← citeshttps://doi.org/10.1002/2014sw001041openalex-snapshot
Correlation analysis between the occurrence of ionospheric scintillation at the magnetic equator and at the southern peak of the Equatorial Ionization Anomaly
inferred← citeshttps://doi.org/10.1002/2015sw001182openalex-snapshot
Prediction of the level of ionospheric scintillation at equatorial latitudes in Brazil using a neural network
inferred← citeshttps://doi.org/10.1002/2016ja023478openalex-snapshot
Development of intermediate‐scale structure at different altitudes within an equatorial plasma bubble: Implications for L‐band scintillations
inferred← citeshttps://doi.org/10.1002/2017ja024835openalex-snapshot
Ushering in a New Frontier in Geospace Through Data Science
inferred← citeshttps://doi.org/10.1002/navi.379openalex-snapshot
Survey on signal processing for GNSS under ionospheric scintillation: Detection, monitoring, and mitigation
inferred← citeshttps://doi.org/10.1007/978-981-19-0308-3_34openalex-snapshot
Impact of Plasma Depletion on the Occurrence of Scintillation in the Minimum Years Phase of Solar Cycle 23
inferred← citeshttps://doi.org/10.1007/s10291-021-01155-6openalex-snapshot
Local ionospheric plasma bubble revealed by BDS Geostationary Earth Orbit satellite observations
inferred← citeshttps://doi.org/10.1007/s10509-017-3144-6openalex-snapshot
Ionospheric scintillation forecasting model based on NN-PSO technique
inferred← citeshttps://doi.org/10.1007/s10712-013-9252-0openalex-snapshot
GPS L1-Frequency Observations of Equatorial Scintillations and Irregularity Zonal Velocities
inferred← citeshttps://doi.org/10.1007/s10712-020-09613-5openalex-snapshot
Challenges to Equatorial Plasma Bubble and Ionospheric Scintillation Short-Term Forecasting and Future Aspects in East and Southeast Asia
inferred← citeshttps://doi.org/10.1007/s12145-026-02155-1openalex-snapshot
t-STEP: An interpretable model for total electron content predictions and irregularities estimations
inferred← citeshttps://doi.org/10.1016/j.cag.2017.08.013openalex-snapshot
Visual analytics of time-varying multivariate ionospheric scintillation data
inferred← citeshttps://doi.org/10.1016/j.cageo.2013.04.016openalex-snapshot
A new classification approach for detecting severe weather patterns
inferred← citeshttps://doi.org/10.1016/j.jastp.2012.02.007openalex-snapshot
A novel method based on GPS TEC to forecast L band scintillations over the equatorial region through a case study
inferred← citeshttps://doi.org/10.1016/j.jastp.2022.105872openalex-snapshot
Climatology of Ionospheric Amplitude Scintillation on GNSS Signals at South American Sector During Solar Cycle 24
inferred← citeshttps://doi.org/10.1016/j.jastp.2024.106201openalex-snapshot
Forecasting geomagnetic activity: Neural networks, moving windows and state transition models
inferred← citeshttps://doi.org/10.1029/2018rs006722openalex-snapshot
VHF Scintillation and Drift Studied Using Spaced Receivers in Southern Taiwan
inferred← citeshttps://doi.org/10.1029/2018sw002018openalex-snapshot
New Capabilities for Prediction of High‐Latitude Ionospheric Scintillation: A Novel Approach With Machine Learning
inferred← citeshttps://doi.org/10.1029/2018sw002061openalex-snapshot
The Challenge of Machine Learning in Space Weather: Nowcasting and Forecasting
inferred← citeshttps://doi.org/10.1029/2019ja026839openalex-snapshot
Investigation of Spatiotemporal Morphology of Plasma Bubbles Based on EAR Observations
inferred← citeshttps://doi.org/10.1029/2020sw002462openalex-snapshot
Comparison of Low‐Latitude Ionospheric Scintillation Forecasting Techniques Using a Physics‐Based Model
inferred← citeshttps://doi.org/10.1029/2020sw002710openalex-snapshot
A Bayesian Inference‐Based Empirical Model for Scintillation Indices for High‐Latitude
inferred← citeshttps://doi.org/10.1029/2021ea002164openalex-snapshot
Precursors Identification for Forecasting UHF‐Band Ionospheric Scintillation Events Over Chinese Low‐Latitude Region by Deep Learning
inferred← citeshttps://doi.org/10.1029/2021sw002884openalex-snapshot
The Prediction of Day‐to‐Day Occurrence of Low Latitude Ionospheric Strong Scintillation Using Gradient Boosting Algorithm
inferred← citeshttps://doi.org/10.1029/2024jh000298openalex-snapshot
Categorizing Characteristic Regions of High‐Latitude Scintillations Using a Combination of Isolation Forest and Neural Network Machine Learning Algorithms
inferred← citeshttps://doi.org/10.1029/2024sw004224openalex-snapshot
A Novel Short‐Term Prediction Model for Regional Equatorial Plasma Bubble Irregularities in East and Southeast Asia
inferred← citeshttps://doi.org/10.1029/2024sw004239openalex-snapshot
ISNet: Decomposed Dynamic Spatio‐Temporal Neural Network for Ionospheric Scintillation Forecasts
inferred← citeshttps://doi.org/10.1029/2024sw004243openalex-snapshot
Enhancing Low‐Latitude Ionospheric Irregularity Prediction With Generalized Linear Models
inferred← citeshttps://doi.org/10.1051/swsc/2022016openalex-snapshot
Modeling of ionospheric scintillation
inferred← citeshttps://doi.org/10.1109/ccdc58219.2023.10326626openalex-snapshot
Calculation Method of Ionospheric Amplitude Scintillation Index Based on Random Forest Regression
inferred← citeshttps://doi.org/10.1109/ccdc62350.2024.10587368openalex-snapshot
Distinguish ionospheric scintillation and multipath in GNSS signals based on machine learning
inferred← citeshttps://doi.org/10.1109/csnt54456.2022.9787613openalex-snapshot
Zonal Irregularity Drift Characteristics of Ionospheric Scintillations from two closely-spaced Global Navigation Satellite System receivers at an Indian Low Latitude location
inferred← citeshttps://doi.org/10.1109/igarss46834.2022.9883380openalex-snapshot
Amplitude Scintillation Forecasting Using Bagged Trees
inferred← citeshttps://doi.org/10.1109/lawp.2019.2929289openalex-snapshot
Machine-Learning-Based Approach for Diffraction Loss Variation Prediction by the Human Body
inferred← citeshttps://doi.org/10.1109/ojcoms.2024.3429198openalex-snapshot
On the Interplay of Artificial Intelligence and Space-Air-Ground Integrated Networks: A Survey
inferred← citeshttps://doi.org/10.1109/taes.2018.2850385openalex-snapshot
Detection of GNSS Ionospheric Scintillations Based on Machine Learning Decision Tree
inferred← citeshttps://doi.org/10.1109/taes.2022.3188741openalex-snapshot
Nowcasting of Amplitude Ionospheric Scintillation Based on Machine Learning Techniques
inferred← citeshttps://doi.org/10.1109/taes.2025.3539268openalex-snapshot
Synthetic Generator for Ionospheric Amplitude Scintillation Fading Channels Using Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1109/tgrs.2021.3126888openalex-snapshot
Method for Forecasting Ionospheric Electron Content Fluctuations Based on the Optical Flow Algorithm
inferred← citeshttps://doi.org/10.1109/wisee44079.2020.9262699openalex-snapshot
Distinguishing Ionospheric Scintillation from Multipath in GNSS Signals Using Bagged Decision Trees Algorithm
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Visual exploration to support the identification of relevant attributes in time-varying multivariate data
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Effect of ionospheric irregularities on GPS performance
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Prediction of the Ionospheric Irregularities Based on Residual Compensation WHO-RF Model
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Artificial intelligence for satellite communication: A review
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Combining Neural Network with Genetic Algorithm for prediction of S4 Parameter using GPS measurement
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An Enhanced LSTM-Piecewise Model for Predicting Ionospheric Scintillation
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Spatiotemporal Deep Learning Network for High-Latitude Ionospheric Phase Scintillation Forecasting
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Semi-Supervised GNSS Scintillations Detection Based on DeepInfomax
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Determining the Day-to-Day Occurrence of Low-Latitude Scintillation in Equinoxes at Sanya during High Solar Activities (2012–2013)
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Ionospheric Scintillation Prediction on S4 and ROTI Parameters Using Artificial Neural Network and Genetic Algorithm
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Prediction of Ionospheric Scintillation with ConvGRU Networks Using GNSS Ground-Based Data across South America
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A Novel Design of Sophisticated Distributed Knowledge Extraction Process on Grid Architecture
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Climatology of the scintillation onset over southern Brazil
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Prediction of Ionospheric Scintillation with a Combination of Deep Learning Algorithms Using GNSS Ground-Based Network across South America
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