This review demonstrates advancements in optical fiber sensors using AI and machine learning, highlighting capabilities in sensor design and adaptive systems.
Key Points
AI enhances sensor design, improving performance and adaptivity in optical fiber sensors.
Supervised and unsupervised learning methods are crucial in advancing the application of AI in optical fiber sensing.
Comprehensive analysis of fiber Bragg gratings and Brillouin scattering integrates modern sensing technologies with AI capabilities.
Advancements in machine learning show potential to optimize configurations and enhance sensors' interpretative capabilities.