Rain Streak Removal Using Improved Generative Adversarial Network with Loss Function Optimization

Academic Background In the field of computer vision, rain streaks are a common interference factor, especially in outdoor surveillance, autonomous driving, and intelligent transportation systems. Rain streaks significantly degrade image quality, affecting the recognition and analysis capabilities of visual systems. Traditional rain streak removal m...

ADFCNN: Attention-Based Dual-Scale Fusion Convolutional Neural Network for Motor Imagery Brain–Computer Interface

ADFCNN: Attention-Based Dual-Scale Fusion Convolutional Neural Network for Motor Imagery Brain–Computer Interface

Brain-Computer Interface (BCI) has emerged as an enhanced communication and control technology in recent years. In BCI based on electrophysiological characteristics (such as Electroencephalogram, EEG), Motor Imagery (MI) is an important branch that decodes users’ motor intentions for use in clinical rehabilitation, intelligent wheelchair control, c...