Jian She noJi Shu Ji Zhun niGuan suruZhi Wen noZhuan Men Xing Li Du (Xi kai/Cu i)wo96%Zheng Que niZi Dong Pan Ding shi, Zui Shi naRAGshisutemu(ColBERT/Naive)woXuan Ze suruShi Yong De naAgentic RAGshisutemunoMVPdesu. 2025Nian 11Yue niGong Kai saretaHe Chuan Sha Fang damunoJi Shu Ji Zhun woDui Xiang ni4tsunoRAGshisutemuwoGou Zhu shi, Zhuan Men Xing noLi Du gaYi naru200Wen noZhi Wen niDui shite, Jing Du toSu Du woBi Jiao shita.

• Updated Nov 11, 2025
• Python

A robust Python tool for controlling, calibrating, and performing parametric studies on 2D hydraulic models (SRH-2D and HEC-RAS)

• Updated Mar 10, 2026
• Python

Gemma3 RAG benchmark system for Japanese river/dam/erosion control technical standards.

• Updated Nov 19, 2025
• Python

EN : Water Pipe Leakage Risk Prediction System v0-3 | Industrial-grade GPR system achieving R2=0.9894 accuracy with 1,907x parallel processing efficiency | Complete scalability proven from N=44 to N=6000 datasets. JP : Shui Dao Guan Lou Shui risukuYu Ce GPRshisutemu v0-3 | Chan Ye reberuYu Ce Jing Du R2=0.9894, 1,907Bei Bing Lie Chu Li Xiao Lu Hua woShi Xian shitagausuGuo Cheng Hui Gui niyoruGao Jing Du Lou Shui risukuFen Xi shisutemu | N=44-N=6000Wan Quan suke-rabiriteiShi Zheng Ji mi

• Updated Sep 21, 2025
• Python

An AI-powered bridge health classification system that automatically categorizes bridge inspection reports into health levels using machine learning. The system leverages Explainable Boosting Machine (EBM) to achieve high accuracy while maintaining interpretability.

• Updated Oct 3, 2025
• Python

A Hybrid Physics-Informed Machine Learning (PIML) System for Iraqi Concrete Optimization. Integrating DoE, Transfer Learning, and Lean Six Sigma for Engineering Certainty. [Phase 1: EDA]

• Updated Feb 11, 2026
• Jupyter Notebook