Yonghua Lu

According to our database1, Yonghua Lu authored at least 15 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
3D reconstruction of bone CT scan images based on deformable convex hull.
Medical Biol. Eng. Comput., February, 2024

2023
Design and Control of Soft Exoskeleton Based on Human Motion Intention.
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023

2022
A bone segmentation method based on Multi-scale features fuse U<sup>2</sup>Net and improved dice loss in CT image process.
Biomed. Signal Process. Control., 2022

2020
VEGA: visual comparison of phylogenetic trees for evolutionary genome analysis (ChinaVis 2019).
J. Vis., 2020

2019
The thrust measurement system research for combined nozzle in small space.
Trans. Inst. Meas. Control, 2019

Improved RBF network torque control in flexible manipulator actuated by PMAs.
Robotica, 2019

Fuzzy sliding mode control of 3-DOF shoulder Joint Driven by pneumatic muscle actuators.
Int. J. Robotics Autom., 2019

Integrating Geovisual Analytics with Machine Learning for Human Mobility Pattern Discovery.
ISPRS Int. J. Geo Inf., 2019

Multi-view based neural network for semantic segmentation on 3D scenes.
Sci. China Inf. Sci., 2019

Reduced Preisach Model: Beyond Discrete Empirical Interpolation Method.
IEEE Access, 2019

Reverberant Field Imaging of a Slope Sea Bottom.
Proceedings of the 2019 International Symposium on Signal Processing Systems, 2019

2018
Research on the method of measuring solution concentration based on the magneto-optical effect in permanent magnetic fields.
Trans. Inst. Meas. Control, 2018

2017
A robust three-stage approach to large-scale urban scene recognition.
Sci. China Inf. Sci., 2017

Robust control of 3-DOF parallel robot driven by PMAs based on nominal stiffness model.
Adv. Robotics, 2017

2015
A new method to predict contractile force for pneumatic muscle actuators.
Adv. Robotics, 2015


  Loading...