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phd-research

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PhD research validating LLM understanding of market microstructure through obfuscation testing. Novel methodology proves LLMs detect dealer hedging constraints without temporal context. P#1: 71.5% detection, 91.2% accuracy

  • Updated Feb 25, 2026
  • Python

📚 Comprehensive learning notes and Python implementations for Coursera's "Remote Sensing Image Acquisition, Analysis, and Applications" course. Features 15 weeks of detailed notes, 15+ Python scripts, and original diagrams for AI-powered environmental monitoring research.

  • Updated Nov 12, 2025
  • Python

Modular AI/ML framework in MATLAB for classification. PhD project T-DTS v3.0 — tree-based, entropy-driven, RBF-enabled ANN. Based on work by Dr. Rybnik.

  • Updated Jun 27, 2025
  • MATLAB

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