AI based Scintillation Detector Calibration (original) (raw)

Abstract

Data set generated from the scintillation detector is used to build a mathematical model based on three different algorithms: (a) Multiple Polynomial Regression (b) Support Vector Regression (c) Neural Network algorithm. Using visualizations and correlations it is found that Median of the data will give accurate results and average time has a major contribution in radiation measurement.

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References (2)

  1. Sensitivity Analysis of Calibration Methods and Factors Effecting the Statistical Nature of Radiation Measurement, Kajal Kumari & Mayank Goswami, Joural of Signal Processing Systems (2021). Link
  2. Chang, Chih-Chung, and Chih-Jen Lin. "LIBSVM: A Library for Support Vector Machines," in "Large-Scale Machine Learning," edited by C. Ling, ACM Transactions on Intelligent Systems and Technology 2, no. 3 (2011). www.csie.ntu.edu.tw/\~cjlin/papers/libsvm.pdf.