Mingzhang Pan

Orcid: 0000-0001-6626-3231

According to our database1, Mingzhang Pan authored at least 15 papers between 2021 and 2024.

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

Timeline

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Bibliography

2024
A low-sample-count, high-precision Pareto front adaptive sampling algorithm based on multi-criteria and Voronoi.
Soft Comput., April, 2024

A Convolutional-Transformer-Based Approach for Dynamic Gesture Recognition of Data Gloves.
IEEE Trans. Instrum. Meas., 2024

Sensorless force estimation of teleoperation system based on multilayer depth Extreme Learning Machine.
Appl. Soft Comput., 2024

Collision-Risk Assessment Model for Teleoperation Robots Considering Acceleration.
IEEE Access, 2024

2023
Dynamic Multiaction Recognition and Expert Movement Mapping for Closed Pelvic Reduction.
IEEE Trans. Ind. Informatics, August, 2023

State-of-the-Art in Data Gloves: A Review of Hardware, Algorithms, and Applications.
IEEE Trans. Instrum. Meas., 2023

An Automated Skill Assessment Framework Based on Visual Motion Signals and a Deep Neural Network in Robot-Assisted Minimally Invasive Surgery.
Sensors, 2023

An adaptive sparse general regression neural network-based force observer for teleoperation system.
Eng. Appl. Artif. Intell., 2023

An exploitation-boosted sine cosine algorithm for global optimization.
Eng. Appl. Artif. Intell., 2023

Automated Key Action Detection for Closed Reduction of Pelvic Fractures by Expert Surgeons in Robot-Assisted Surgery.
IROS, 2023

2022
Collision risk assessment and automatic obstacle avoidance strategy for teleoperation robots.
Comput. Ind. Eng., 2022

An effective tremor-filtering model in teleoperation: Three-domain Wavelet Least Square Support Vector Machine.
Appl. Soft Comput., 2022

Review of the State-of-the-Art of Data Gloves.
Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2022

2021
Broad learning extreme learning machine for forecasting and eliminating tremors in teleoperation.
Appl. Soft Comput., 2021

CT images inpainting based on graph-cut segmentation.
Proceedings of the ICIT 2021: IoT and Smart City, Guangzhou, China, December 22 - 25, 2021, 2021


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