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manasibaranidharan / Physics-Informed-Solar-Flare-Forecasting

Physics-Informed Neural Network (PINN) framework for explainable solar flare nowcasting and forecasting using soft and hard X-ray data from Aditya-L1's SoLEXS and HEL1OS instruments.

deep-learning space satellite satellite-data space-exploration spacetecnology satellite-technologies

Updated Aug 20, 2026
Python

sangmdas / NTN-and-Inter-Satellite-Control-Runnable-Reference-Implementation

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Runnable reference implementation of execution-finality for LEO/NTN, ISL, beam, gateway, and payload RF enable. 77 tests across 7 consequence paths show non-effective candidate acts, sink-verified single-use authority, and fail-closed replay/substitution denial via a non-radiating simulator. Companion to draft-das-ntn-rf-execution-finality.

satellite rf leo 3gpp beam-forming satellite-communications ntn satellite-operations phased-array non-terrestrial-networks phased-arrays phased-array-sensors phased-array-radar ntn-networks ntn-validation satellite-technologies phased-array-antennas execution-finality mega-constellation

Updated Sep 10, 2026
Python

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Here are 2 public repositories matching this topic...

manasibaranidharan / Physics-Informed-Solar-Flare-Forecasting

sangmdas / NTN-and-Inter-Satellite-Control-Runnable-Reference-Implementation

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