Deep convolutional neural networks (DCNNs) have exhibited excellent feature extraction
and detail reconstruction capabilities for single image super-resolution (SISR) …

This study deals with the problem of the H∞ state estimation for discrete-time memristive
neural networks with time-varying delays, where the output is subject to randomly occurring …

In this paper, synchronization of an inertial neural network with time-varying delays is
investigated. Based on the variable transformation method, we transform the second-order …

Matrix inversion often arises in the fields of science and engineering. Many models for matrix
inversion usually assume that the solving process is free of noises or that the denoising has …

This paper investigates the global asymptotic stability and stabilization of memristive neural
networks (MNNs) with communication delays via event-triggered sampling control. First …

This paper discusses the passivity of delayed reaction–diffusion memristor-based neural
networks (RDMNNs). By exploiting inequality techniques and by constructing appropriate …

In this paper, the stability problem is investigated for a class of reaction-diffusion uncertain
memristive neural networks with time-varying delays and leakage term. To investigate the …

Abstract Single crystals of Cu 2 ZnGeSe 4 and Cu 2 ZnGeS 4 solid solutions were
developed and successfully obtained using the chemical vapor transfer method, with iodine …

This paper focuses on Lagrange exponential stability and finite-time stabilization of Takagi-
Sugeno (TS) fuzzy memristive neural networks with discrete and distributed time-varying …

This article investigates the global exponential stabilization (GES) of inertial memristive
neural networks with discrete and distributed time-varying delays (DIMNNs). By introducing …