Papers Solar Flare Prediction
“Solar Flare Prediction” 태그가 달린 논문 27편 · 필터 해제
Solar Flare Forecast: A Comparative Analysis of Machine Learning Algorithms for Solar Flare Class Prediction
Solar flares are among the most powerful and dynamic events in the solar system, resulting from the sudden release of magnetic energy stored in the Sun's atmosphere. These energetic bursts of electromagnetic radiation ca…
Dimensionality ReductionModel SelectionSolar Flare PredictionWeather ForecastingLarge Scale Evaluation of Deep Learning-based Explainable Solar Flare Forecasting Models with Attribution-based Proximity Analysis
Accurate and reliable predictions of solar flares are essential due to their potentially significant impact on Earth and space-based infrastructure. Although deep learning models have shown notable predictive capabilitie…
Solar Flare PredictionEXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction
In heliophysics research, predicting solar flares is crucial due to their potential to impact both space-based systems and Earth's infrastructure substantially. Magnetic field data from solar active regions, recorded by …
Contrastive LearningPredictionRepresentation LearningRobust classification+2Contrastive Representation Learning for Predicting Solar Flares from Extremely Imbalanced Multivariate Time Series Data
Major solar flares are abrupt surges in the Sun's magnetic flux, presenting significant risks to technological infrastructure. In view of this, effectively predicting major flares from solar active region magnetic field …
Maximum SeparationRepresentation LearningSolar Flare PredictionTime Series+1Enhancing Multivariate Time Series-based Solar Flare Prediction with Multifaceted Preprocessing and Contrastive Learning
Accurate solar flare prediction is crucial due to the significant risks that intense solar flares pose to astronauts, space equipment, and satellite communication systems. Our research enhances solar flare prediction by …
Contrastive Learningfeature selectionImputationPrediction+2Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting
In this paper, we propose a novel loss function aimed at optimizing the binary flare prediction problem by embedding the intrinsic ordinal flare characteristics into the binary cross-entropy (BCE) loss function. This mod…
Solar Flare PredictionTransfer LearningAdvancing Solar Flare Prediction using Deep Learning with Active Region Patches
In this paper, we introduce a novel methodology for leveraging shape-based characteristics of magnetograms of active region (AR) patches and provide a novel capability for predicting solar flares covering the entirety of…
Solar Flare PredictionClass-Based Time Series Data Augmentation to Mitigate Extreme Class Imbalance for Solar Flare Prediction
Time series data plays a crucial role across various domains, making it valuable for decision-making and predictive modeling. Machine learning (ML) and deep learning (DL) have shown promise in this regard, yet their perf…
Data AugmentationDecision MakingSolar Flare PredictionTime SeriesExtreme Solar Flare Prediction Using Residual Networks with HMI Magnetograms and Intensitygrams
Solar flares, especially C, M, and X class, pose significant risks to satellite operations, communication systems, and power grids. We present a novel approach for predicting extreme solar flares using HMI intensitygrams…
Activity PredictionSolar Flare PredictionWeather ForecastingSolar synthetic imaging: Introducing denoising diffusion probabilistic models on SDO/AIA data
Given the rarity of significant solar flares compared to smaller ones, training effective machine learning models for solar activity forecasting is challenging due to insufficient data. This study proposes using generati…
DenoisingSolar Flare PredictionActive Region-based Flare Forecasting with Sliding Window Multivariate Time Series Forest Classifiers
Over the past few decades, many applications of physics-based simulations and data-driven techniques (including machine learning and deep learning) have emerged to analyze and predict solar flares. These approaches are p…
Solar Flare PredictionTime SeriesUnveiling the Potential of Deep Learning Models for Solar Flare Prediction in Near-Limb Regions
This study aims to evaluate the performance of deep learning models in predicting $\geq$M-class solar flares with a prediction window of 24 hours, using hourly sampled full-disk line-of-sight (LoS) magnetogram images, pa…
SensitivitySolar Flare PredictionTransfer LearningTowards Interpretable Solar Flare Prediction with Attention-based Deep Neural Networks
Solar flare prediction is a central problem in space weather forecasting and recent developments in machine learning and deep learning accelerated the adoption of complex models for data-driven solar flare forecasting. I…
Solar Flare PredictionWeather ForecastingExploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations
This study progresses solar flare prediction research by presenting a full-disk deep-learning model to forecast $\geq$M-class solar flares and evaluating its efficacy on both central (within $\pm$70$^\circ$) and near-lim…
Solar Flare PredictionExplainable Deep Learning-based Solar Flare Prediction with post hoc Attention for Operational Forecasting
This paper presents a post hoc analysis of a deep learning-based full-disk solar flare prediction model. We used hourly full-disk line-of-sight magnetogram images and selected binary prediction mode to predict the occurr…
Data AugmentationSolar Flare PredictionExplaining Full-disk Deep Learning Model for Solar Flare Prediction using Attribution Methods
This paper contributes to the growing body of research on deep learning methods for solar flare prediction, primarily focusing on highly overlooked near-limb flares and utilizing the attribution methods to provide a post…
Data AugmentationPredictionSolar Flare PredictionSolar Active Region Magnetogram Image Dataset for Studies of Space Weather
In this dataset we provide a comprehensive collection of magnetograms (images quantifying the strength of the magnetic field) from the National Aeronautics and Space Administration's (NASA's) Solar Dynamics Observatory (…
Multi-class ClassificationSolar Flare PredictionIncorporating Polar Field Data for Improved Solar Flare Prediction
In this paper, we consider incorporating data associated with the sun's north and south polar field strengths to improve solar flare prediction performance using machine learning models. When used to supplement local dat…
Mixture-of-ExpertsPredictionSolar Flare PredictionShapelet-Based Counterfactual Explanations for Multivariate Time Series
As machine learning and deep learning models have become highly prevalent in a multitude of domains, the main reservation in their adoption for decision-making processes is their black-box nature. The Explainable Artific…
counterfactualCounterfactual ExplanationDecision MakingExplainable artificial intelligence+5Towards Coupling Full-disk and Active Region-based Flare Prediction for Operational Space Weather Forecasting
Solar flare prediction is a central problem in space weather forecasting and has captivated the attention of a wide spectrum of researchers due to recent advances in both remote sensing as well as machine learning and de…
PredictionregressionSolar Flare PredictionTime Series Analysis+1