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Regression for Radioactive Source Detection
Guthrie Cordone
, Richard R. Brooks
, Satyabrata Sen
, Nageswara S.V. Rao
,
Chase Q. Wu
, Mark L. Berry
, Kayla M. Grieme
Center for Big Data
Data Science
Computer Science
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
2
Scopus citations
Overview
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Dive into the research topics of 'Regression for Radioactive Source Detection'. Together they form a unique fingerprint.
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Keyphrases
Detection Method
100%
Source Detection
100%
Radioactive Source
100%
Regression Fit
75%
Linear Regression
50%
Sequential Probability Ratio Test
50%
Performance Analysis
25%
Test Statistic
25%
Sensor Systems
25%
Radiation Source
25%
Source Location
25%
Network Anomaly Detection
25%
Regression Model
25%
Least Squares
25%
Optimal Threshold
25%
Source Intensity
25%
Outdoor Testing
25%
Squared Distance
25%
Receiver Operating Characteristic Curve
25%
Radiation Sensor
25%
Detector Network
25%
Detector Location
25%
Nuclear Detection
25%
Linear Fit
25%
Engineering
Regression Fit
100%
Test Method
66%
Sequential Probability Ratio Test
66%
Test Statistic
33%
Sensor System
33%
Performance Analysis
33%
Moving Source
33%
Source Intensity
33%
Operating-Characteristic Curve
33%
Receiver Operating Characteristic
33%
Mathematics
Detection Method
100%
Linear Regression
50%
Probability Theory
50%
Ratio Test
50%
Test Statistic
25%
Regression Model
25%
Source Location
25%
Characteristic Curve
25%
Computer Science
Detection Method
100%
Performance Analysis
25%
Source Location
25%
Characteristic Curve
25%
Performance Compare
25%
Optimal Threshold
25%
Estimated Source
25%
Squared Distance
25%
Earth and Planetary Sciences
Detection Method
100%
Radiation Source
25%