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Aswin Haridas

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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. · 0 citations

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