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pro vyhledávání: '"Vafaei, Jafar"'
Autor:
Vafaei, Jafar, Akbari, Omid
For critical applications that require a higher level of reliability, the Triple Modular Redundancy (TMR) scheme is usually employed to implement fault-tolerant arithmetic units. However, this method imposes a significant area and power/energy overhe
Externí odkaz:
http://arxiv.org/abs/2410.20150
Deep neural networks (DNNs) are a type of artificial intelligence models that are inspired by the structure and function of the human brain, designed to process and learn from large amounts of data, making them particularly well-suited for tasks such
Externí odkaz:
http://arxiv.org/abs/2407.12029
Publikováno v:
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, May 2023
Triple Modular Redundancy (TMR) is one of the most common techniques in fault-tolerant systems, in which the output is determined by a majority voter. However, the design diversity of replicated modules and/or soft errors that are more likely to happ
Externí odkaz:
http://arxiv.org/abs/2306.09037
Autor:
vafaei, Jafar, bahramzadeh, Hosseinali
Publikováno v:
Educational Administration: Theory & Practice; 2024, Vol. 30 Issue 7, p232-244, 13p
