Privacy protection of medical data based on multi-scroll memristive Hopfield neural network
F Yu, H Shen, Q Yu, X Kong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Memristive Hopfield neural network (MHNN) has complex dynamic behavior, which is
suitable for encryption applications. In order to ensure the information security of the medical …
suitable for encryption applications. In order to ensure the information security of the medical …
A trackable multi-domain collaborative generative adversarial network for rotating machinery fault diagnosis
X Wang, H Jiang, M Mu, Y Dong - Mechanical Systems and Signal …, 2025 - Elsevier
Obtaining sufficient balanced data is tricky in practical rotating machinery fault diagnosis
tasks. It is a pressing real-world problem to accurately diagnose faults from imbalanced data …
tasks. It is a pressing real-world problem to accurately diagnose faults from imbalanced data …
A memristive synapse control method to generate diversified multistructure chaotic attractors
H Lin, C Wang, C Xu, X Zhang… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Due to the synapse-like nonlinearity and memory characteristics, memristor is often used to
construct memristive neural networks with complex dynamical behaviors. However …
construct memristive neural networks with complex dynamical behaviors. However …
Memristor-coupled asymmetric neural networks: Bionic modeling, chaotic dynamics analysis and encryption application
With the rapid development of artificial intelligence, it has important theoretical and practical
significance to construct neural network models and study their dynamical behaviors. This …
significance to construct neural network models and study their dynamical behaviors. This …
Dynamical analysis of an improved FitzHugh-Nagumo neuron model with multiplier-free implementation
The cubic-polynomial nonlinearity with N-shaped curve plays a crucial role in generating
abundant electrical activities for the original FitzHugh-Nagumo (FHN) neuron model. The …
abundant electrical activities for the original FitzHugh-Nagumo (FHN) neuron model. The …
Design and performance analysis of discrete memristive hyperchaotic systems with stuffed cube attractors and ultraboosting behaviors
Q Lai, L Yang, G Chen - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
Memristors are widely used for studying chaotic oscillations due to their special nonlinearity
and plasticity. This article presents a framework for constructing the ultraboosting memristive …
and plasticity. This article presents a framework for constructing the ultraboosting memristive …
Exploiting flexible and secure cryptographic technique for multi-dimensional image based on graph data structure and three-input majority gate
The emergence of the Industrial Internet of Things (IIoT) has greatly improved the efficiency
of manufacturing, but it also faces significant security challenges during the operational …
of manufacturing, but it also faces significant security challenges during the operational …
A memristive fully connect neural network and application of medical image encryption based on central diffusion algorithm
J Sun, C Li, Z Wang, Y Wang - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
With the continuous development of computers, communication technology, and regional
medical collaboration services, the security and confidentiality of information are becoming …
medical collaboration services, the security and confidentiality of information are becoming …
Memristive effects on an improved discrete Rulkov neuron model
A change in neuronal-action potential can generate a magnetically induced current during
the release and propagation of intracellular ions. To better characterize the electromagnetic …
the release and propagation of intracellular ions. To better characterize the electromagnetic …
Dynamics analysis and image encryption application of Hopfield neural network with a novel multistable and highly tunable memristor
Building artificial neural network models and studying their dynamic behaviors is extremely
important from both a theoretical and practical standpoint due to the rapid advancement of …
important from both a theoretical and practical standpoint due to the rapid advancement of …