3 accepted papers
Defect detection is essential in modern industrial production for ensuring product quality. However, current methods struggle with small object and multi-scale detection, especially in complex backgrounds, due to limitations in feature extraction and fusion. To address these challenges, this paper i…
The limited workspace and complex singularity issues are predominant factors impeding the clinical applicability of fracture reduction parallel robots. To address these challenges, this paper proposes a novel redundant parallel mechanism (NRPM) for robotic-assisted fracture reduction with an enlarge…
Recent deep learning-based Brain-Computer Interface (BCI) decoding algorithms mainly focus on spatial-temporal features, while failing to explicitly explore spectral information which is one of the most important cues for BCI. In this paper, we propose a novel regional attention convolutional neural…