PhyG-MoE: A Physics-Guided Mixture-of-Experts Framework for Energy-Efficient GNSS Interference Recognition

Fuente: arXiv

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Bibliographic Details
Main Authors:	Zeng, Zhihan, Zhao, Yang, Wang, Kaihe, Niyato, Dusit, Xiu, Yue, Chen, Lu, Zhang, Zhongpei, Wei, Ning
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2601.12798