The engineering features of transmitting mediums and their impact on different
characteristics of a quantum system play a significant role in the efficient performance of …

Memristor devices can be utilized for various computing applications, and stochastic
computing is one of them. The intrinsic stochastic characteristics of the memristor cause …

Computation-in-memory using memristive devices is a promising approach to overcome the
performance limitations of conventional computing architectures introduced by the von …

The crossbar structure of Resistive-switching random access memory (RRAM) arrays
enabled the In-Memory Computing circuits paradigm, since they imply the native …

One of the objectives fostered in medical science is the so-called precision medicine, which
requires the analysis of a large amount of survival data from patients to deeply understand …

Overfitting is a common and critical challenge for neural networks trained with limited
dataset. The conventional solution is software-based regularization algorithms such as …

In this study, we explore the low-frequency noise (LFN) characteristics of hafnium-zirconium
ferroelectric junctionless poly-Si thin-film transistors (FE JL TFTs) with different channel …

A CNN-based Fluctuation Pattern Classifier (FPC) is proposed. FPC is fully trained on the
artificially created dataset with assumed fluctuation patterns such as random telegraph noise …

Machine learning methods like neural networks are extremely successful and popular in a
variety of applications, however, they come at substantial computational costs, accompanied …

The influence of random telegraph noise (RTN) could reduce the reading margin, which
would cause computational errors in data recognition. This paper proposes a current sensor …