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Full Record Details
Persistent URL
http://purl.org/net/epubs/work/56688245
Record Status
Checked
Record Id
56688245
Title
Artificial Neural Networks for Space and Safety-Critical Applications: Reliability Issues and Potential Solutions
Contributors
P Rech (Department of Industrial Engineering of University; di Trento)
Abstract
Organisation
ISIS
,
STFC
,
ISIS-CHIPIR
Keywords
single event effects
,
hardening
,
convolutional neural network
,
machine learning
,
GPU
,
artificial intelligence
,
particle beams
,
EdgeAI
,
deep learning
,
failures in time
,
SDC
,
FPGA
,
DUE
,
TPU
,
fault injection
,
deep neural network
Funding Information
Related Research Object(s):
Licence Information:
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Language
English (EN)
Type
Details
URI(s)
Local file(s)
Year
Journal Article
IEEE Trans Nucl Sci
(2024): 1-1.
doi:10.1109/TNS.2024.3349956
2024
Showing record 1 of 1
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