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Author

Sercan Aygün

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Preprint Sep 2026

FALCON: Fault-Tolerant Magnetic Tunnel Junction-Based In-Memory Stochastic Architecture for Reliability-Critical Edge AI Applications

This work proposes FALCON, a fault-tolerant, MTJ-based in-memory arithmetic architecture integrated with Stochastic Computing (SC), and investigates the proper functionality of FALCON on morphological closing as a realistic noise-tolerant image processing case study.

Farzad Razi, M. Moghadam, Sercan Aygün et al. · 0 citations
Book Open access Aug 2026

MITRA: Reconfigurable, Low-Latency, and Power-Efficient In-Memory Stochastic Architecture for Transcendental Functions

This work introduces MITRA, a reconfigurable magnetic tunnel junction-based in-memory architecture that leverages stochastic computing (SC) to implement a broad class of transcendental and nonlinear functions directly within memory.

Farzad Razi, M. Moghadam, M. Najafi et al. · 0 citations
Conference Jul 2026

Optimal Neural Network Hyperparameter Consideration through Digital Predistortion in RF Power Amplifiers

This study introduces an effective optimization technique for identifying the optimal hyperparameters of a deep neural network (DNN) designed to model the behavior of power amplifiers (PAs). Hence, an innovative and efficient yield-analysis-based approach is proposed to improve both the modeling accuracy and the digita...

Lida Kouhalvandi, L. Matekovits, Sercan Aygün et al. · 0 citations

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