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detector

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Markov-Chains-scanner

The current JS application is a detector that uses observation sequences to construct the transition matrices for two models, which are merged into a single log-likelihood matrix (LLM). A scanner can use this LLM to search for regions of interest inside a longer sequence called z (the target).

  • Updated Mar 21, 2022
  • HTML
Discrete-Probability-Detector-JS

Discrete Probability Detector (DPD) application uses an algorithm that transforms any sequence of symbols into a transition matrix. It is able to detect the number of states from the sequence and calculate the transition probabilities between these states. This version of DPD is made in JavaScript.

  • Updated Mar 21, 2022
  • HTML

A robust machine learning framework to detect spear-phishing emails using NLP, XGBoost, and TensorFlow. Includes explainability (SHAP/LIME), real-time prediction (FastAPI), monitoring (Prometheus + Grafana), and async feedback handling (Redis). Designed for scalability, transparency, and production-readiness.

  • Updated Oct 2, 2025
  • HTML

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