Saved in:
| Main Authors: | Gurav, Rutuja, Massara, Elena, Song, Xiaomei, Sinclair, Kimberly, Brown, Edward, Kusner, Matt, Poduval, Bala, Baydin, Atilim Gunes |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.17703 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Forecasting the Ionosphere from Sparse GNSS Data with Temporal-Fusion Transformers
by: Acciarini, Giacomo, et al.
Published: (2025)
by: Acciarini, Giacomo, et al.
Published: (2025)
Closing the Gap Between SGP4 and High-Precision Propagation via Differentiable Programming
by: Acciarini, Giacomo, et al.
Published: (2024)
by: Acciarini, Giacomo, et al.
Published: (2024)
Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept
by: Scivier, Sam A., et al.
Published: (2024)
by: Scivier, Sam A., et al.
Published: (2024)
IonCast: A Deep Learning Framework for Forecasting Ionospheric Dynamics
by: Kelebek, Halil S., et al.
Published: (2025)
by: Kelebek, Halil S., et al.
Published: (2025)
Energetic Ion Composition as a Means of Investigating the Physical Origins of Alpha Particle Heavy Magnetic Switchbacks
by: McDougall, Emily, et al.
Published: (2024)
by: McDougall, Emily, et al.
Published: (2024)
Observations of Switchback Chains in a Double Solar Proton Event
by: McDougall, Emily, et al.
Published: (2024)
by: McDougall, Emily, et al.
Published: (2024)
Quantifying the Effects of Parameters in Widespread SEP Events with EPREM
by: Young, Matthew A., et al.
Published: (2025)
by: Young, Matthew A., et al.
Published: (2025)
Connecting the Dots: A Machine Learning Ready Dataset for Ionospheric Forecasting Models
by: Wolniewicz, Linnea M., et al.
Published: (2025)
by: Wolniewicz, Linnea M., et al.
Published: (2025)
Beyond the Kármán Line: Integrating Aviation Law with the New Era of Commercial Suborbital Spaceflight
by: Koellner, Edward
Published: (2024)
by: Koellner, Edward
Published: (2024)
Second-Order Forward-Mode Automatic Differentiation for Optimization
by: Cobb, Adam D., et al.
Published: (2024)
by: Cobb, Adam D., et al.
Published: (2024)
Forecasting Local Ionospheric Parameters Using Transformers
by: Alford-Lago, Daniel J., et al.
Published: (2025)
by: Alford-Lago, Daniel J., et al.
Published: (2025)
Forecasting Thermospheric Density with Transformers for Multi-Satellite Orbit Management
by: Bös, Cedric, et al.
Published: (2025)
by: Bös, Cedric, et al.
Published: (2025)
Aurora Hunter: A Two-Stage Framework for Probabilistic Visibility Forecasting
by: Ge, Zongyuan, et al.
Published: (2026)
by: Ge, Zongyuan, et al.
Published: (2026)
Graph-based Neural Space Weather Forecasting
by: Holmberg, Daniel, et al.
Published: (2025)
by: Holmberg, Daniel, et al.
Published: (2025)
Enhancing Solar Driver Forecasting with Multivariate Transformers
by: Sanchez-Hurtado, Sergio, et al.
Published: (2024)
by: Sanchez-Hurtado, Sergio, et al.
Published: (2024)
Commons 2.0: Library Spaces Designed for Collaborative Learning
by: Sinclair, Bryan
Published: (2007)
by: Sinclair, Bryan
Published: (2007)
Forecasting Ionospheric Irregularities on GNSS Lines of Sight Using Dynamic Graphs with Ephemeris Conditioning
by: Turkmen, Mert Can, et al.
Published: (2026)
by: Turkmen, Mert Can, et al.
Published: (2026)
Forecasting SEP Events During Solar Cycles 23 and 24 Using Interpretable Machine Learning
by: Kasapis, Spiridon, et al.
Published: (2024)
by: Kasapis, Spiridon, et al.
Published: (2024)
Towards a Machine Learning-Based Approach to Predict Space Object Density Distributions
by: Rodriguez-Fernandez, Victor, et al.
Published: (2024)
by: Rodriguez-Fernandez, Victor, et al.
Published: (2024)
Pretrained Approximators for Low-Thrust Trajectory Cost and Reachability
by: Zhang, Zhong, et al.
Published: (2026)
by: Zhang, Zhong, et al.
Published: (2026)
Adaptive PCA-Based Outlier Detection for Multi-Feature Time Series in Space Missions
by: Ekelund, Jonah, et al.
Published: (2025)
by: Ekelund, Jonah, et al.
Published: (2025)
Federated Learning-driven Beam Management in LEO 6G Non-Terrestrial Networks
by: Bartsioka, Maria Lamprini, et al.
Published: (2026)
by: Bartsioka, Maria Lamprini, et al.
Published: (2026)
CAM-NET: An AI Model for Whole Atmosphere with Thermosphere and Ionosphere Extension
by: Hu, Jiahui, et al.
Published: (2025)
by: Hu, Jiahui, et al.
Published: (2025)
PARIS: Pruning Algorithm via the Representer theorem for Imbalanced Scenarios
by: Camporeale, Enrico
Published: (2025)
by: Camporeale, Enrico
Published: (2025)
Optimal Multi-Debris Mission Planning in LEO: A Deep Reinforcement Learning Approach with Co-Elliptic Transfers and Refueling
by: Bandyopadhyay, Agni, et al.
Published: (2026)
by: Bandyopadhyay, Agni, et al.
Published: (2026)
A Self-Supervised Framework for Space Object Behaviour Characterisation
by: Groves, Ian, et al.
Published: (2025)
by: Groves, Ian, et al.
Published: (2025)
Language Models are Spacecraft Operators
by: Rodriguez-Fernandez, Victor, et al.
Published: (2024)
by: Rodriguez-Fernandez, Victor, et al.
Published: (2024)
Deterministic and probabilistic neural surrogates of global hybrid-Vlasov simulations
by: Holmberg, Daniel, et al.
Published: (2026)
by: Holmberg, Daniel, et al.
Published: (2026)
Radiation Exposure from the Dark
by: Niedermann, Florian, et al.
Published: (2024)
by: Niedermann, Florian, et al.
Published: (2024)
Impact of Lunar Dust on Free Space Optical (FSO) Energy Harvesting
by: Naqbi, Mohamed, et al.
Published: (2024)
by: Naqbi, Mohamed, et al.
Published: (2024)
Evaluating Robustness and Adaptability in Learning-Based Mission Planning for Active Debris Removal
by: Bandyopadhyay, Agni, et al.
Published: (2026)
by: Bandyopadhyay, Agni, et al.
Published: (2026)
EclipseNETs: a differentiable description of irregular eclipse conditions
by: Acciarini, Giacomo, et al.
Published: (2024)
by: Acciarini, Giacomo, et al.
Published: (2024)
Optimizing Mission Planning for Multi-Debris Rendezvous Using Reinforcement Learning with Refueling and Adaptive Collision Avoidance
by: Bandyopadhyay, Agni, et al.
Published: (2026)
by: Bandyopadhyay, Agni, et al.
Published: (2026)
Scalable Machine Learning Analysis of Parker Solar Probe Solar Wind Data
by: Martin, Daniela, et al.
Published: (2025)
by: Martin, Daniela, et al.
Published: (2025)
An Interpretable Machine Learning Approach to Understanding the Relationships between Solar Flares and Source Active Regions
by: Cavus, Huseyin, et al.
Published: (2025)
by: Cavus, Huseyin, et al.
Published: (2025)
Physics-Informed Neural Networks for Modeling the Martian Induced Magnetosphere
by: Gao, Jiawei, et al.
Published: (2025)
by: Gao, Jiawei, et al.
Published: (2025)
Prediction of Geoeffective CMEs Using SOHO Images and Deep Learning
by: Alobaid, Khalid A., et al.
Published: (2025)
by: Alobaid, Khalid A., et al.
Published: (2025)
Forecasting and Analysis of Solar Energetic Particle Radiation Storms
by: Malandraki, Olga, et al.
Published: (2025)
by: Malandraki, Olga, et al.
Published: (2025)
Photon Dynamics and Collision Risks in Relativistic Spaceflight: A Comparative Study of Methods and Implications
by: Wen, Li Kai, et al.
Published: (2025)
by: Wen, Li Kai, et al.
Published: (2025)
Optical Power Beaming in the Lunar Environment
by: Naqbi, Mohamed, et al.
Published: (2024)
by: Naqbi, Mohamed, et al.
Published: (2024)
Similar Items
-
Forecasting the Ionosphere from Sparse GNSS Data with Temporal-Fusion Transformers
by: Acciarini, Giacomo, et al.
Published: (2025) -
Closing the Gap Between SGP4 and High-Precision Propagation via Differentiable Programming
by: Acciarini, Giacomo, et al.
Published: (2024) -
Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept
by: Scivier, Sam A., et al.
Published: (2024) -
IonCast: A Deep Learning Framework for Forecasting Ionospheric Dynamics
by: Kelebek, Halil S., et al.
Published: (2025) -
Energetic Ion Composition as a Means of Investigating the Physical Origins of Alpha Particle Heavy Magnetic Switchbacks
by: McDougall, Emily, et al.
Published: (2024)