J.-M. Chen

Data Analysis of Textile-Based Sensors Based on AI Algorithm

A hybrid AI framework integrating CNN– Transformer architectures to address challenges of textile-based sensors through adaptive wavelet denoising, GAN-based data augmentation, and attention-guided multimodal feature fusion for heterogeneous sensing signals is proposed.