Classifier-dependent feature selection via greedy methods
The purpose of this study is to introduce a new approach to feature ranking for classification
tasks, called in what follows greedy feature selection. In statistical learning, feature selection …
tasks, called in what follows greedy feature selection. In statistical learning, feature selection …
Forecasting Geoffective Events from Solar Wind Data and Evaluating the Most Predictive Features through Machine Learning Approaches
S Guastavino, K Bahamazava, E Perracchione… - arXiv preprint arXiv …, 2024 - arxiv.org
This study addresses the prediction of geomagnetic disturbances by exploiting machine
learning techniques. Specifically, the Long-Short Term Memory recurrent neural network …
learning techniques. Specifically, the Long-Short Term Memory recurrent neural network …
Greedy feature selection: Classifier-dependent feature selection via greedy methods
F Camattari, S Guastavino, F Marchetti, M Piana… - arXiv preprint arXiv …, 2024 - arxiv.org
The purpose of this study is to introduce a new approach to feature ranking for classification
tasks, called in what follows greedy feature selection. In statistical learning, feature selection …
tasks, called in what follows greedy feature selection. In statistical learning, feature selection …
Estimating Coronal Mass Ejection Mass and Kinetic Energy by Fusion of Multiple Deep-learning Models
KA Alobaid, Y Abduallah, JTL Wang… - The Astrophysical …, 2023 - iopscience.iop.org
Coronal mass ejections (CMEs) are massive solar eruptions, which have a significant impact
on Earth. In this paper, we propose a new method, called DeepCME, to estimate two …
on Earth. In this paper, we propose a new method, called DeepCME, to estimate two …
Predicting Arrival Times of the CCMC CME/Shock Events Based on the SPM3 Model
Y Liang, X Zhao, N Xiang, S Feng, F Li… - The Astrophysical …, 2024 - iopscience.iop.org
Coronal mass ejection (CME) is a powerful solar phenomenon that can lead to severe space
weather events. Forecasting whether and when the corresponding interplanetary coronal …
weather events. Forecasting whether and when the corresponding interplanetary coronal …
Prediction of Geoeffective CMEs Using SOHO Images and Deep Learning
KA Alobaid, JTL Wang, H Wang, J Jing, Y Abduallah… - Solar Physics, 2024 - Springer
The application of machine learning to the study of coronal mass ejections (CMEs) and their
impacts on Earth has seen significant growth recently. Understanding and forecasting CME …
impacts on Earth has seen significant growth recently. Understanding and forecasting CME …
CME Arrival Modeling with Machine Learning
S Chierichini, J Liu, MB Korsós… - The Astrophysical …, 2024 - iopscience.iop.org
Abstract Space weather phenomena have long captured the attention of the scientific
community, and along with recent technological developments, the awareness that such …
community, and along with recent technological developments, the awareness that such …
AI-FLARES: Artificial Intelligence for the Analysis of Solar Flares Data
AI-FLARES (Artificial Intelligence for the Analysis of Solar Flares Data) is a research project
funded by the Agenzia Spaziale Italiana and by the Istituto Nazionale di Astrofisica within the …
funded by the Agenzia Spaziale Italiana and by the Istituto Nazionale di Astrofisica within the …
Extended Drag-Based Model for better predicting the evolution of Coronal Mass Ejections
M Rossi, S Guastavino, M Piana… - arXiv preprint arXiv …, 2024 - arxiv.org
The solar wind drag-based model is a widely used framework for predicting the propagation
of Coronal Mass Ejections (CMEs) through interplanetary space. This model primarily …
of Coronal Mass Ejections (CMEs) through interplanetary space. This model primarily …
[PDF][PDF] Kompetenzen für den Unterricht mit und über Künstliche Intelligenz
Künstliche Intelligenz (KI) ist nicht mehr nur ein Zukunftsthema, sondern bereits in vielen
Bereichen der Lebens-und Arbeitswelt präsent und wird zukünftig als eine der …
Bereichen der Lebens-und Arbeitswelt präsent und wird zukünftig als eine der …