A machine learning approach for automated ULF wave recognition
J. Space Weather Space Clim., 9 (2019) A13
Published online: 2019-05-08
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
Machine Learning Techniques for Estimation of Pc5 Geomagnetic Pulsations Observed at Geostationary Orbits During Solar Cycle 23
Justice Allotey Pappoe, Yoshikawa Akimasa, Ali Kandil and Ayman MahrousJournal of Atmospheric and Solar-Terrestrial Physics 106258 (2024)
https://doi.org/10.1016/j.jastp.2024.106258
Automatic Classification of Antimalarial Herbal Drugs Exposed to Ultraviolet Radiation from Unexposed Ones Using Laser-Induced Autofluorescence with Chemometric Techniques
Justice Allotey Pappoe, Jerry Opoku-Ansah, Charles Lloyd Yeboah Amuah, Peter Osei-Wusu Adueming, Samuel Sonko Sackey, Rabbi Boateng, Justice Kwaku Addo, Moses Jojo Eghan, Patrick Mensah-Amoah and Benjamin AndersonJournal of Fluorescence 34 (1) 367 (2024)
https://doi.org/10.1007/s10895-023-03281-5
Automatic detection of auroral Pc5 geomagnetic pulsation using machine learning approach guided with discrete wavelet transform
Stephen Omondi, Akimasa Yoshikawa, Waheed K. Zahra, Ibrahim Fathy and Ayman MahrousAdvances in Space Research 72 (3) 866 (2023)
https://doi.org/10.1016/j.asr.2022.06.063
Automatic detection of field line resonance frequencies in the Earth’s plasmasphere
Raffaello Foldes, Alfredo Del Corpo, Gianluca Napoletano, Ermanno Pietropaolo and Massimo VellanteRendiconti Lincei. Scienze Fisiche e Naturali 34 (4) 1077 (2023)
https://doi.org/10.1007/s12210-023-01196-8
Classification of Organic and Conventional Cocoa Beans Using Laser-Induced Fluorescence Spectroscopy Combined with Chemometric Techniques
Justice Allotey Pappoe, Olivia Mongson, Charles Lloyd Yeboah Amuah, Jerry Opoku-Ansah, Peter Osei-Wusu Adueming, Rabbi Boateng, Moses Jojo Eghan, Samuel Sonko Sackey, Elliot Kwaku Anyidoho, Andrew Atiogbe Huzortey, Benjamin Anderson, Michael Kwame Vowotor and Ernest TeyeJournal of Fluorescence (2023)
https://doi.org/10.1007/s10895-023-03499-3
A machine learning approach combined with wavelet analysis for automatic detection of Pc5 geomagnetic pulsations observed at geostationary orbits
Justice Allotey Pappoe, Akimasa Yoshikawa, Ali Kandil and Ayman MahrousAdvances in Space Research (2023)
https://doi.org/10.1016/j.asr.2023.11.001
An Explainable Dynamic Prediction Method for Ionospheric foF2 Based on Machine Learning
Jian Wang, Qiao Yu, Yafei Shi, Yiran Liu and Cheng YangRemote Sensing 15 (5) 1256 (2023)
https://doi.org/10.3390/rs15051256
Convolutional Neural Networks for Automated ULF Wave Classification in Swarm Time Series
Alexandra Antonopoulou, Georgios Balasis, Constantinos Papadimitriou, Adamantia Zoe Boutsi, Athanasios Rontogiannis, Konstantinos Koutroumbas, Ioannis A. Daglis and Omiros GiannakisAtmosphere 13 (9) 1488 (2022)
https://doi.org/10.3390/atmos13091488
Application of Wavelet Methods in the Investigation of Geospace Disturbances: A Review and an Evaluation of the Approach for Quantifying Wavelet Power
Christos Katsavrias, Constantinos Papadimitriou, Alexandros Hillaris and Georgios BalasisAtmosphere 13 (3) 499 (2022)
https://doi.org/10.3390/atmos13030499
Unsupervised classification of simulated magnetospheric regions
Maria Elena Innocenti, Jorge Amaya, Joachim Raeder, et al.Annales Geophysicae 39 (5) 861 (2021)
https://doi.org/10.5194/angeo-39-861-2021
Using Support Vector Machine (SVM) and Ionospheric Total Electron Content (TEC) Data for Solar Flare Predictions
Saed Asaly, Lee-Ad Gottlieb and Yuval ReuveniIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14 1469 (2021)
https://doi.org/10.1109/JSTARS.2020.3044470
Solar Energetic Particle Event occurrence prediction using Solar Flare Soft X-ray measurements and Machine Learning
Sigiava Aminalragia-Giamini, Savvas Raptis, Anastasios Anastasiadis, et al.Journal of Space Weather and Space Climate 11 59 (2021)
https://doi.org/10.1051/swsc/2021043
Assessing Machine Learning Techniques for Identifying Field Line Resonance Frequencies From Cross‐Phase Spectra
Raffaello Foldes, Alfredo Del Corpo, Ermanno Pietropaolo and Massimo VellanteJournal of Geophysical Research: Space Physics 126 (5) (2021)
https://doi.org/10.1029/2020JA029008
RMSE is not enough: Guidelines to robust data-model comparisons for magnetospheric physics
Michael W. Liemohn, Alexander D. Shane, Abigail R. Azari, et al.Journal of Atmospheric and Solar-Terrestrial Physics 218 105624 (2021)
https://doi.org/10.1016/j.jastp.2021.105624
Classification of Magnetosheath Jets Using Neural Networks and High Resolution OMNI (HRO) Data
Savvas Raptis, Sigiava Aminalragia-Giamini, Tomas Karlsson and Martin LindbergFrontiers in Astronomy and Space Sciences 7 (2020)
https://doi.org/10.3389/fspas.2020.00024
Automatic Classification of Plasma Regions in Near-Earth Space With Supervised Machine Learning: Application to Magnetospheric Multi Scale 2016–2019 Observations
Hugo Breuillard, Romain Dupuis, Alessandro Retino, et al.Frontiers in Astronomy and Space Sciences 7 (2020)
https://doi.org/10.3389/fspas.2020.00055