2 papers
cs.AR2026
Evaluating Four FPGA-accelerated Space Use Cases based on Neural Network Algorithms for On-board Inference
Pedro Antunes, Muhammad Ihsan Al Hafiz, Jonah Ekelund +4
Space missions increasingly deploy high-fidelity sensors that produce data volumes exceeding onboard buffering and downlink capacity. This work evaluates FPGA acceleration of neura…
astro-ph.SR2025
Bypassing the static input size of neural networks in flare forecasting by using spatial pyramid pooling
Philippe Vong, Laurent Dolla, Alexandros Koukras +4
The spatial extension of active regions (ARs) of the Sun can vary from one case to the next. This is a problem when studying solar flares with Convolutional Neural Networks (CNNs)…