A multi-stage machine learning algorithm for estimating personal dose equivalent using thermoluminescent dosimeter

In the present age, marked by data-driven advancements in various fields, the importance of machine learning (ML) holds a prominent position. The ability of ML algorithms to resolve complex patterns and extract insights from large datasets has solidified its transformative potential in various scien...

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Autori principali:	Munir S Pathan, S M Pradhan, T Palani Selvam, B K Sapra
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IOP Publishing 2024-01-01
Serie:	Machine Learning: Science and Technology
Soggetti:	radiation dosimetry thermoluminescent dosimeters artificial neural network random forest algorithm
Accesso online:	https://doi.org/10.1088/2632-2153/ad1c31
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