Open access
Aug 2026
From Messy Data to Actionable Insights: Benchmarking Agentic AI Frameworks Across Real-World SHM Data Scenarios
A Reference Framework is introduced that proposes an architectural logic designed to navigate these integration challenges through Large Language Models (LLMs) and establishes a foundation for transitioning from manual data wrangling to conversational, actionable insights.
Carlos Omar Rasgado Moreno, Arjavi Salodkar, Aswin Haridas et al.
· e-Journal of Nondestructive... · 0 citations