Vasyl Yurchyshyn
Orcid: 0000-0001-9982-2175
According to our database1,
Vasyl Yurchyshyn authored at least 15 papers
between 2021 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Deep Learning-Enabled Prediction of Geoeffective CMEs Using SOHO and SDO Observations.
CoRR, May, 2026
CoRR, April, 2026
Predicting Associations between Solar Flares and Coronal Mass Ejections Using SDO/HMI Magnetograms and a Hybrid Neural Network.
CoRR, April, 2026
2025
Improving the Temporal Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using a Deep Generative Model.
CoRR, March, 2025
Prediction of Halo Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and a Transformer Model.
CoRR, March, 2025
CoRR, January, 2025
2024
Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification.
Dataset, May, 2024
Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification.
Dataset, May, 2024
Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification.
Dataset, May, 2024
Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification.
Dataset, May, 2024
Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification.
Dataset, May, 2024
Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification.
Dataset, January, 2024
Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification.
CoRR, 2024
2023
Estimating Coronal Mass Ejection Mass and Kinetic Energy by Fusion of Multiple Deep-learning Models.
CoRR, 2023
2021
Proceedings of Sixth International Congress on Information and Communication Technology, 2021