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Manil Maskey
NASA Marshall Space Flight CenterMeeting roles in:
Importance of Suborbital Metadata Standardization for Search, Discovery, and Reuse
AI Foundation Models for Observational and Gridded Data Across Scales
From Pixels to Predictions: Prithvi-EO-2.0 for Land, Disaster, and Ecosystem Intelligence
Prithvi-EO: An Open-Access Geospatial Foundation Model Advancing Earth Science through Global Collaboration
Soma: Foundation Model for Multi-Modal Lunar Science using LRO Datasets
Surya: Foundation Model for Heliophysics using SDO Data
SuryaBench: New Benchmark Dataset for Advancing Machine Learning Applications in Heliophysics and Space Weather
Evaluation of Surya, a heliophysics foundation model, using a wide range of downstream applications
Operationalizing Prithvi EO 2.0 Foundation Model for Near Real-Time Earth Observation
Efficient Fine-Tuning of Atmospheric Foundation Models for High-Impact Weather Events
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