A comparative study of a traditional localization algorithm and a deep learning model for radioactive particle tracking application-Reference-Cited by-同舟云学术

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A comparative study of a traditional localization algorithm and a deep learning model for radioactive particle tracking application

Published:2024-03 Issue: Volume:205 Page:111156
ISSN:0969-8043
Container-title:Applied Radiation and Isotopes
language:en
Short-container-title:Applied Radiation and Isotopes

Author:

Dam Roos Sophia de Freitas^ORCID,Affonso Renato Raoni Werneck,Salgado William Luna,Schirru Roberto,Salgado César Marques

Publisher

Elsevier BV

Subject

Radiation

Reference36 articles.

1. TensorFlow: large-scale machine learning on heterogeneous systems;Abadi,2015

2. Optuna: a next-generation hyperparameter optimization framework;Akiba,2019

3. Response functions for sodium iodide scintillation detectors;Berger;Nucl. Instrum. Methods,1972

4. Experimental study of the solids velocity field in gas-solid risers;Bhusarapu;Ind. Eng. Chem. Res.,2005

5. Back-propagation Theory, Architectures and Applications;Chauvin,1995

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