3 papers
cs.LG2025
IonCast: A Deep Learning Framework for Forecasting Ionospheric Dynamics
Halil S. Kelebek, Linnea M. Wolniewicz, Michael D. Vergalla +8
The ionosphere is a critical component of near-Earth space, shaping GNSS accuracy, high-frequency communications, and aviation operations. For these reasons, accurate forecasting a…
cs.LG2025
Forecasting the Ionosphere from Sparse GNSS Data with Temporal-Fusion Transformers
Giacomo Acciarini, Simone Mestici, Halil Kelebek +7
The ionosphere critically influences Global Navigation Satellite Systems (GNSS), satellite communications, and Low Earth Orbit (LEO) operations, yet accurate prediction of its vari…
physics.geo-ph2024
Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept
Sam A. Scivier, Tarje Nissen-Meyer, Paula Koelemeijer +1
Estimates of seismic wave speeds in the Earth (seismic velocity models) are key input parameters to earthquake simulations for ground motion prediction. Owing to the non-uniqueness…