| Popis: |
Fiber Specklegram Sensors (FSS) are vital for environmental monitoring due to their high temperature sensitivity, but their complex data poses challeng-es for predictive models. This study introduces Prion-ViT, a prion-inspired Vision Transformer model, inspired by biological prion memory mecha-nisms, to improve long-term dependency modeling and temperature prediction accuracy using FSS data. Prion-ViT leverages a persistent memory state to retain and propagate key features across layers, reducing mean absolute error (MAE) to 0.52{\deg}C and outperforming models like ResNet, Inception Net V2, and standard vision transformers. This work highlights Prion-ViT's potential for real-time industrial temperature monitoring and broader optical sensing applications. |
