Ting Li

An efficient region-of-interest-driven simplified neural dynamics for large-scale inverse problems

Simulation and real-world field experimental results demonstrate that the ROI-driven SND method effectively suppresses directional distortions and achieves improved reconstruction performance under both noise-free and noise-considered conditions.

A modified artificial potential field approach for real-time robot path planning via adaptive gradient neural network.

Artificial potential field (APF) approach is a classical path planning algorithm widely employed for its simplicity. However, in intricate dynamic environments, conventional APF approaches intrinsically suffer from local minima and oscillation issues. In this regard, this paper constructs a modified artificial potentia...

An efficient region-of-interest-driven simplified neural dynamics for large-scale inverse problems