Yingna Li

According to our database1, Yingna Li authored at least 14 papers between 2019 and 2023.

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

Timeline

Legend:

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Links

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Bibliography

2023
UAV Aerial Image Generation of Crucial Components of High-Voltage Transmission Lines Based on Multi-Level Generative Adversarial Network.
Remote. Sens., March, 2023

Improved slime mould algorithm by perfecting bionic-based mechanisms.
Int. J. Bio Inspired Comput., 2023

2022
Enhanced beetle antennae search algorithm for complex and unbiased optimization.
Soft Comput., 2022

Transmission Line Vibration Damper Detection Using Deep Neural Networks Based on UAV Remote Sensing Image.
Sensors, 2022

Transmission Line Vibration Damper Detection Using Multi-Granularity Conditional Generative Adversarial Nets Based on UAV Inspection Images.
Sensors, 2022

Missing-Sheds Granularity Estimation of Glass Insulators Using Deep Neural Networks Based on Optical Imaging.
Sensors, 2022

Detection of Glass Insulators Using Deep Neural Networks Based on Optical Imaging.
Remote. Sens., 2022

2021
Measurements of Excavation Damaged Zone by Using Fiber Bragg Grating Stress Sensors.
Sensors, 2021

Design and Analysis of Broadband LiNbO3 Optical Waveguide Electric Field Sensor with Tapered Antenna.
Sensors, 2021

InsulatorGAN: A Transmission Line Insulator Detection Model Using Multi-Granularity Conditional Generative Adversarial Nets for UAV Inspection.
Remote. Sens., 2021

A Privacy Enhancement Scheme Based on Blockchain and Blind Signature for Internet of Vehicles.
Proceedings of the Blockchain and Trustworthy Systems - Third International Conference, 2021

2020
A Visual Detection Method for Foreign Objects in Power Lines Based on Mask R-CNN.
Int. J. Ambient Comput. Intell., 2020

2019
Analysis and Research on Insulation Data of Dry Air Core Reactor Based on Fuzzy Theory.
Proceedings of the 18th IEEE/ACIS International Conference on Computer and Information Science, 2019

Analysis and Calculation of Line Loss Data Based on Hybrid Clustering.
Proceedings of the 18th IEEE/ACIS International Conference on Computer and Information Science, 2019


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