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Particles Detection System with CR-39 Based on Deep Learning
Gal Amit
, Idan Mosseri
, Ofir Even-Hen
, Nadav Schneider
,
Elad Fisher
, Hanan Datz
, Eliahu Cohen
, Noaz Nissim
Department of Marine Geosciences
Research output
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peer-review
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Keyphrases
Deep Learning
100%
CR-39
100%
Particle Detection System
100%
Dosimetry System
50%
External Dosimetry
50%
CR-39 Detector
50%
Fast Neutron Dosimetry
50%
Computer Vision
25%
Fully-automatic
25%
Artificial Intelligence
25%
Quality Assurance
25%
Quality Efficiency
25%
Detection Threshold
25%
Deep Learning Model
25%
Detection System
25%
Proton
25%
Accuracy Rate
25%
True Negative
25%
Modern Systems
25%
True Positive
25%
Innovations Algorithm
25%
Dirt
25%
Neutron
25%
Nuclear Research
25%
Computer Vision System
25%
Neutron Detection
25%
System Detection
25%
Alpha Particle Detection
25%
Fast Neutrons
25%
Neutron Flux
25%
Fast Neutron Spectrometry
25%
Neutron Dose
25%
Dose Measurement
25%
Fusion Experiments
25%
Physics
Dosimeter
100%
Deep Learning Method
100%
Fast Neutron
100%
Alpha Radiation
25%
Artificial Intelligence
25%
Flux (Rate)
25%
Medicine and Dentistry
Dosimetry
100%
Neutron Dosimetry
100%