AIMC Topic: Radioactive Pollutants
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Advantages of Synthetic Noise and Machine Learning for Analyzing Radioecological Data Sets.
PloS one
Jan 9, 2017
The ecological effects of accidental or malicious radioactive contamination are insufficiently understood because of the hazards and difficulties associated with conducting studies in radioactively-polluted areas. Data sets from severely contaminated...
Evaluation of the suitability of neural network method for prediction of uranium activity ratio in environmental alpha spectra.
Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine
Aug 15, 2015
Applying Artificial Neural Network to an alpha spectrometry system is a good idea to discriminate the composition of environmental and non-environmental materials by the estimation of the (234)U/(238)U activity ratio. Because it eliminates limitation...
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