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Yiying Zhang on Muck Rack

Yiying Zhang

As seen in: Nature, Wiley Online Library, arXiv, PLOS, Frontiers in Public Health, Future Internet, MDPI, ACS Publications, Product Hunt, Royal Society of Chemistry and
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Articles

Groundwater Evolution Mechanisms Driven by Ecological Water Replenishment in the Jialu River: Insights from Physical Simulation and Inverse Geochemical Modeling Click to copy article link Article link copied!

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By Jihong Qu, Xue Li, Yiying Zhang
| ACS Publications
3.1. Transient Responses of Physicochemical Parameters and Major Ions The dynamic variations in physicochemical parameters and major ion concentrations at different sampling points were comprehensively illustrated using radar charts, as shown in Figure 4 . Figure 4 Figure 4. Radar-chart matrix showing the dynamic variations of physicochemical parameters and major ion concentrations at different sampling points during ecological water replenishment.
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Computer Science > Distributed, Parallel, and Cluster Computing

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By Adrian Sampson, Yiying Zhang, Zhiyuan Guo
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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An edge-cloud collaborative fault diagnosis method for high-resistivity faults in low-voltage distribution networks considering metering uncertainties

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By Baohua Cheng, Shuxian Sun, Siwei Li, Yimeng Zhang, Yun Li Verified, Yiying Zhang
| Nature Verified
Abstract To address the issue of weak characteristics and susceptibility to environmental noise and measurement errors in high-impedance faults (HIFs) in low-voltage distribution networks, this paper proposed an edge-cloud collaborative fault diagnosis method (ECCFD) that considers the metering uncertainty of smart meters.
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