Radiation Detection

Jifu Zhao, 01 December 2017

Radiation Detection using Mobile Sensor Networks

  • Developed a mobile sensor network simulation platform for large-scale simulations.
  • Combined KDE, MLE and Bayesian estimation techniques to locate radioactive sources.
  • Applied multiple machine learning techniques for anomaly detection.
  • Highlights: PCA, Autoencoder, KNN, Clustering, Isolation Forest, Bayesian estimation, Kriging.

Kernel Density Estimation (KDE)

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Maximum Likelihood Estimation (MLE)

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Kriging Model

Estimation

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Anomaly Detection

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