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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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

Precipitable water vapor (PWV), retrievable from Global Navigation Satellite Systems (GNSS) measurements, is a key indicator of tropospheric water vapor content and crucial for weather forecasting and climate research. However, the prediction of PWV usually relies on a single model or a simple hybrid model, with limite...

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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