A5060020684- Power Systems Fault Detection
- Electrical Fault Detection and Protection
- Infrastructure Maintenance and Monitoring
- Robotic Path Planning Algorithms
- Domain Adaptation and Few-Shot Learning
- Imbalanced Data Classification Techniques
- Robotics and Sensor-Based Localization
- Control and Dynamics of Mobile Robots
- Machine Learning and Data Classification
Nanjing University of Aeronautics and Astronautics
2023-2025
Jiangxi Agricultural University
2024
Huazhong University of Science and Technology
2021
The authors examine how network externalities and various factors shape strategic interactions between manufacturers technology suppliers in networked manufacturing contexts. Using an evolutionary game model, it explores manufacturers' radical vs. incremental innovation choices alongside suppliers' authorization licensing strategies. results show that both parties' strategies often fluctuate without stabilizing under different initial conditions. While higher returns from motivate toward...
The Grey Wolf Optimization Algorithm (GWO) is a member of the swarm intelligence algorithm family, which possesses highlights easy realization, simple parameter settings and wide applicability. However, in some large-scale application problems, grey wolf optimization easily gets trapped local optima, exhibits poor global exploration ability suffers from premature convergence. Since wolf’s update guided only by best three wolves, it leads to low population multiplicity capacity. In response...
Abstract Due to the insufficiency of actual fault samples, machine learning based classification models power lines in smart grid are generally trained using simulated samples acquired from software, such as Matlab/Simulink. Yet, features and different, existed methods might not be valid or accurate enough classifying types lines. Thus, a new model for on deep-adversarial-transfer is proposed. Firstly, conditional generative adversarial network (CGAN) applied augmentation so increase data...