Zhongyuan Li

Orcid: 0000-0001-9641-8871

According to our database1, Zhongyuan Li authored at least 12 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Prediction of lymphovascular invasion in invasive breast cancer based on clinical-MRI radiomics features.
BMC Medical Imaging, December, 2024

2023
The value of a dual-energy CT Iodine map radiomics model for the prediction of collagen fiber content in the ccRCC tumor microenvironment.
BMC Medical Imaging, December, 2023

Novel Virtual Winding Current Controller for Suppression of Linear Permanent Magnet Machine Electromagnetic Thrust Ripple.
IEEE Trans. Ind. Electron., October, 2023

2021
Imaging Algorithm-Based Real-Time Shear Wave Elastography Combined with Thyroglobulin Antibodies in Diagnosis of Thyroid Cancer.
Sci. Program., 2021

2020
Application Behaviors Driven Self-Organizing Network (SON) for 4G LTE Networks.
IEEE Trans. Netw. Sci. Eng., 2020

2019
Lean evaluation system of manufacturing enterprises based on full lifecycle.
Int. J. Wirel. Mob. Comput., 2019

P2P: From Packets to Pepole, Leverage Wireless Artifical Intelligence for Bridging Network Performance Healthiness to Quality of Experience (QoE) in 4G Networks.
Proceedings of the 2019 Wireless Telecommunications Symposium, 2019

A Machine Learning Assisted Method of Coverage and Capacity Optimization (CCO) in 4G LTE Self Organizing Networks (SON).
Proceedings of the 2019 Wireless Telecommunications Symposium, 2019

2018
Sustainable lean redesign of manufacturing enterprises.
Int. J. Wirel. Mob. Comput., 2018

Detecting traffic anomaly in wireless networks, an analytics methodology.
Proceedings of the 2018 Wireless Telecommunications Symposium, 2018

Mining Over Air: Wireless Communication Networks Analytics
Springer, ISBN: 978-3-319-92311-6, 2018

2017
APP-SON: Application characteristics-driven SON to optimize 4G/5G network performance and quality of experience.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017


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