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Machine Learning for Predicting Neutron Effective Dose
Ali A.A. Alghamdi
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Corresponding author for this work
Radiological Sciences Department
Research output
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Contribution to journal
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Article
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peer-review
6
Scopus citations
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Mathematics
Monte Carlo
100%
Monte Carlo Study
50%
Categorical Data
50%
Absolute Error
50%
Energy Bin
50%
Good Agreement
50%
Radiation Field
50%
Labeled Data
50%
Numerical Data
50%
Voxel
50%
Regressors
50%
Pharmacology, Toxicology and Pharmaceutical Science
Vasoactive Intestinal Polypeptide
100%
Reference Dose
100%
Engineering
Neutron Energy
33%
Regulatory Limit
16%
Radiation Field
16%
Data Representation
16%
Computational Resource
16%
Numerical Data
16%
Improvement Potential
16%
Regressors
16%
Broad Range
16%
Material Science
Density
100%
Physics
Radiation Distribution
12%