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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Kefei Zhang

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4 papers indexed here

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Open access Sep 2026

A modified threshold model of HMW combination for detecting cycle slips in high-latitude regions during ionospheric scintillation periods

Currently, solar activity is in its 25th peak year, with frequent occurrences of ionospheric scintillation, resulting in a significant increase in cycle slip events in Global Navigation Satellite System (GNSS) observation data and significantly affecting the reliability of precise positioning services. Accurate cycle s...

Dong-Sheng Zhao, Ai-Jia Zhang, Shuang-Lei Cui et al. · 0 citations
Open access 2026

RODTI: A Method for Extracting Ionospheric Scintillation-Related Index Based on DORIS Dual-Frequency Observations and Its Verification on a Global Scale

The advent of the peak year of the 25th solar cycle has led to a notable intensification of ionospheric disturbances, resulting in frequent occurrences of ionospheric scintillation. Ionospheric scintillation has emerged as a critical factor compromising the stability of global navigation satellite system (GNSS) positio...

Dong-Sheng Zhao, Huai-Ke Liu, Ke-Fei Zhang et al. · 0 citations
Open access 2026

ARIMA-KOA-CNN-GRU-Attention Model for Improving GNSS Water Vapor Prediction

Experimental results demonstrated that decomposing PWV into linear and nonlinear components via wavelet transform can enhance prediction accuracy and among all the schemes tested, ARIMA-KOA-CNN-GRU-Attention performed the best, achieving a 52% RMSE reduction in comparison with the ARIMA-KOA-GRU method.

Xiangrong Yan, Wei-Fang Yang, Ke-Fei Zhang et al. · 0 citations
Open access 2026

DeepTomo: An Explainable Physics-Informed Deep Learning Framework for Troposphere Tomography, Toward AI-Based GNSS Data Assimilation

This analysis provides an initial indication that DeepTomo, by producing physically consistent GNSS-constrained moisture analyses from ERA5 background fields, has the potential to improve initial conditions and forecast performance in next-generation AI weather forecasting systems, such as GraphCast, bridging GNSS obse...

Saeid Haji-Aghajany, Benedikt Soja, Ke-Fei Zhang et al. · 1 citation

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