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Author

Zeng-Ke Li

2 papers indexed here

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Open access Oct 2026

RANSAC-based iterative data refining method for multiple outliers in GNSS positioning

A RANSAC-based IDR method that dynamically adjusts qmax in a piecewise increasing manner, which consistently achieves the highest correct identification rate and the lowest WI rate among all compared methods, with competitive positioning accuracy and acceptable computational time.

Hang Yu, Yi-Peng Ning, Hou-Zeng Han et al. · 0 citations
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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