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Author

Zeng-Ke Li

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Open access Sep 2026

GNSS pseudorange bias correction in urban environments using a hybrid CNN-LSTM architecture

A hybrid model combining a convolutional neural network (CNN) and a long short-term memory (LSTM) network provides a better balance between positioning accuracy and practical GPU training efficiency than PrNet under the evaluated conditions.

Qiang Guo, Zeng-Ke Li, Meng Sun et al. · 0 citations

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