A comparison of machine learning methods to classify radioactive elements using prompt-gamma-ray neutron activation data.

Mathew, Jino; Kshirsagar, Rohit; Abidin, Dzariff Z; Griffin, James; Kanarachos, Stratis; James, Jithin; Alamaniotis, Miltiadis; Fitzpatrick, Michael E

Mathew, Jino; Kshirsagar, Rohit; Abidin, Dzariff Z; Griffin, James; Kanarachos, Stratis; James, Jithin; Alamaniotis, Miltiadis; Fitzpatrick, Michael E.

Afiliación

Mathew J; Faculty of Engineering, Environment and Computing, Coventry University, Priory Street, Coventry, CV1 5FB, UK. jino.mathew@coventry.ac.uk.
Kshirsagar R; Factory of the Future Advanced Manufacturing Park, University of Sheffield AMRC, Wallis Way, Catcliffe, Rotherham, S60 5TZ, UK.
Abidin DZ; Faculty of Engineering, Environment and Computing, Coventry University, Priory Street, Coventry, CV1 5FB, UK.
Griffin J; Faculty of Engineering, Environment and Computing, Coventry University, Priory Street, Coventry, CV1 5FB, UK.
Kanarachos S; Faculty of Engineering, Environment and Computing, Coventry University, Priory Street, Coventry, CV1 5FB, UK.
James J; Nissan Technical Centre, Cranfield Technology Park, Moulsoe Road, Cranfield, Wharley End, Bedford, MK43 0DB, UK.
Alamaniotis M; Applied Artificial Intelligence Laboratory, Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA.
Fitzpatrick ME; Faculty of Engineering, Environment and Computing, Coventry University, Priory Street, Coventry, CV1 5FB, UK.

Sci Rep ; 13(1): 9948, 2023 Jun 19.

Article en En | MEDLINE | ID: mdl-37336914

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Reino Unido

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