Development of low-overhead soft error mitigation technique for safety critical neural networks applications
Deep Neural Networks (DNNs) have been widely applied in healthcare applications. DNN-based healthcare applications are safety-critical systems that require highreliability implementation due to a high risk of human death or injury in case of malfunction. Several DNN accelerators are used to execute...
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Main Author: | Khalid Adam, Ismail Hammad |
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Format: | Thesis |
Language: | English |
Published: |
2021
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Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/34715/1/Development%20of%20low-overhead%20soft%20error%20mitigation%20technique%20for%20safety%20critical%20neural.ir.pdf http://umpir.ump.edu.my/id/eprint/34715/ |
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