This project applies self-improving (Agentic) clustering with Bayesian Optimization to bridge maintenance data in some Prefecture, Japan, to automatically identify bridge groups with high maintenance priority.
unsupervised-learning bayesian-optimization decision-support-system predictive-maintenance cbm structural-health-monitoring clustering-algorithms prognostics-health-management risk-ranking bridge-maintenance disaster-resilience infrastructure-maintenance-management agentic-ai infrastructure-resilience self-improving-ai municipal-infrastructure hadr-ai bridge-fleet agentic-clustering maintenance-priority
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Updated
Nov 30, 2025 - Python