This tool applies self-improving (Agentic) clustering to bridge maintenance data in Open data at some Prefecture, Japan, to automatically identify bridge groups with high maintenance priority.
-
Updated
Nov 29, 2025 - Python
This tool applies self-improving (Agentic) clustering to bridge maintenance data in Open data at some Prefecture, Japan, to automatically identify bridge groups with high maintenance priority.
Reproducible code and aggregate outputs for capacity-constrained ranking of conditional academic underperformance using CEPS data. CEPS microdata are not included.
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.
Add a description, image, and links to the risk-ranking topic page so that developers can more easily learn about it.
To associate your repository with the risk-ranking topic, visit your repo's landing page and select "manage topics."