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Research on Spaceborne Neural Network Accelerator and Its Fault Tolerance Design
Y Shao, J Wang, X Han, Y Li, Y Li, Z Tao - Remote Sensing, 2025 - search.proquest.com
To meet the high-reliability requirements of real-time on-orbit tasks, this paper proposes a
fault-tolerant reinforcement design method for spaceborne intelligent processing algorithms …
fault-tolerant reinforcement design method for spaceborne intelligent processing algorithms …
Space-O-RAN: Enabling Intelligent, Open, and Interoperable Non Terrestrial Networks in 6G
Non-terrestrial networks (NTNs) are essential for ubiquitous connectivity, providing coverage
in remote and underserved areas. However, since NTNs are currently operated …
in remote and underserved areas. However, since NTNs are currently operated …
Efficient FPGA-Accelerated Convolutional Neural Networks for Cloud Detection on CubeSats
A Cratere, MS Farissi, A Carbone… - IEEE Journal on …, 2025 - ieeexplore.ieee.org
We present the implementation of four FPGA-accelerated convolutional neural network
(CNN) models for onboard cloud detection in resource-constrained CubeSat missions …
(CNN) models for onboard cloud detection in resource-constrained CubeSat missions …