Reproducible causal machine-learning system for one-hour early warning of downstream contaminant arrival using synthetic ADR1D sensor histories.
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Updated
Sep 1, 2026 - Python
Reproducible causal machine-learning system for one-hour early warning of downstream contaminant arrival using synthetic ADR1D sensor histories.
A python project that fetches MLB data, builds daily game panels, and trains/predicts team and player outcomes.
Multimodal emotion recognition from ECG and GSR signals. 88 handcrafted features + gradient boosting ensembles beat the published CNN-LSTM baseline by over 14 points (80.97% vs 66.64%).
Leave-one-site-out PM₂.₅ forecasting across four Dubai community-sensor streams, with leakage-controlled evaluation and reproducible tests.
Real-time driver fatigue detection using computer vision, explainable AI (SHAP), participant-aware evaluation and temporal decision intelligence.
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