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1. ForestFire-StateModel ForestFire-StateModel Public

   Reframing forest fire propagation as a stochastic state transition problem — not a regression task. Performed using UCI forestfires data set

   Jupyter Notebook 2

2. physics-informed-fire-prediction-occurrence physics-informed-fire-prediction-occurrence Public

   Physics-informed fire occurrence prediction using structured fire indices (ISI, FFMC, DMC, DC, BUI, FWI), and latent clustering. Implements an interpretable neural model fulfilling ISI’s predictive…

   Jupyter Notebook 3

3. Forest_Fire_Mathematical_Modelling Forest_Fire_Mathematical_Modelling Public

   Mathematical modeling of forest fire occurrence and spread using a two-stage machine learning framework. Binomial ignition and overdispersed fire area are modeled with Random Forest and Negative Bi…

   Jupyter Notebook

4. quant-surveillance-system quant-surveillance-system Public

   A layered ML Framework for Market Surveillance

   Jupyter Notebook 1

5. Biophysics-Informed-Quantitative-Diabetes-Screener Biophysics-Informed-Quantitative-Diabetes-Screener Public

   Interpretable diabetes risk screener using biophysics-informed signal modeling and hybrid probabilistic gating. Pima Indians Diabetes Dataset. Recall: 0.906 | Accuracy: 0.689 | F1: 0.671

   Jupyter Notebook 1

6. cleveland-heart-disease- cleveland-heart-disease- Public

   Cleveland heart disease dataset. Predicted using correlated inputs using RF. Recall 0.97 and accuracy 0.87

   Jupyter Notebook 1