Uncertainty Quantification in Deep Neural Network Models for Nuclear Reactor Benchmarks.

Yaseen, Mahmoud Qasim

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North Carolina State University

Uncertainty Quantification in Deep Neural Network Models for Nuclear Reactor Benchmarks.

dc:creator Yaseen, Mahmoud Qasim

dc:date.issued2024

Abstract

dc:description

North Carolina State University Theses Nuclear Engineering.

Author and committee

dc:creator, dc:contributor.*

Author dc:creator: Yaseen, Mahmoud Qasim
Advisors dc:contributor.advisor: Xu Wu, Chair
Maria Avramova, Member
Grigorios Delipei, Member

Identifiers

dc:identifier.*

Dc Identifier Other: deg36725
OAI record oai:identifier: https://repository.lib.ncsu.edu/server/oai/request?verb=GetRecord&metadataPrefix=dim&identifier=oai%3Arepository.lib.ncsu.edu%3A1840.20%2F41645

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Harvested from: North Carolina State University
Base URL: repository.lib.ncsu.edu/server/oai/request
Last updated: 2026-08-21
Source record: OAI-PMH GetRecord

related terms

ncsu
2024

citation

Yaseen, Mahmoud Qasim. Uncertainty Quantification in Deep Neural Network Models for Nuclear Reactor Benchmarks.. 2024. https://www.lib.ncsu.edu/resolver/1840.20/41645

Uncertainty Quantification in Deep Neural Network Models for Nuclear Reactor Benchmarks.

Abstract

Author and committee

Identifiers

Chain of custody

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