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...

書目詳細資料
主要作者:	Khalid Adam, Ismail Hammad
格式:	Thesis
語言:	英语
出版:	2021
主題:	T Technology (General) TA Engineering (General). Civil engineering (General)
在線閱讀:	http://umpir.ump.edu.my/id/eprint/34715/1/Development%20of%20low-overhead%20soft%20error%20mitigation%20technique%20for%20safety%20critical%20neural.ir.pdf

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