Recent Advances In Structural Health Monitoring... ✮

Recent research emphasizes that machine learning (ML) has moved from experimental to essential for processing the massive datasets generated by modern sensors.

: Instead of reacting to damage, AI models now use "hybrid" approaches—combining physics-based models with real-time data—to predict the remaining service life of assets. Recent Advances in Structural Health Monitoring...

: Drones and static cameras, paired with AI, are used to automatically localize cracks and corrosion, replacing many risky manual inspections. 2. Digital Twins and Real-Time Modeling Recent research emphasizes that machine learning (ML) has