Chaos-based image encryption: Review, application, and challenges
B Zhang, L Liu - Mathematics, 2023 - mdpi.com
Chaos has been one of the most effective cryptographic sources since it was first used in
image-encryption algorithms. This paper closely examines the development process of …
image-encryption algorithms. This paper closely examines the development process of …
Chaotic image encryption: state-of-the-art, ecosystem, and future roadmap
B Zolfaghari, T Koshiba - Applied System Innovation, 2022 - mdpi.com
Recently, many researchers have been interested in the application of chaos in
cryptography. Specifically, numerous research works have been focusing on chaotic image …
cryptography. Specifically, numerous research works have been focusing on chaotic image …
Fixed-time disturbance observer-based robust fault-tolerant tracking control for uncertain quadrotor UAV subject to input delay
This study focuses on the design of a fixed-time disturbance observer-based robust fault-
tolerant tracking control scheme for an uncertain quadrotor unmanned aerial vehicle (UAV) …
tolerant tracking control scheme for an uncertain quadrotor unmanned aerial vehicle (UAV) …
Secure medical image transmission using deep neural network in e‐health applications
AA Alarood, M Faheem… - Healthcare …, 2023 - Wiley Online Library
Recently, medical technologies have developed, and the diagnosis of diseases through
medical images has become very important. Medical images often pass through the …
medical images has become very important. Medical images often pass through the …
A New V‐Net Convolutional Neural Network Based on Four‐Dimensional Hyperchaotic System for Medical Image Encryption
In the transmission of medical images, if the image is not processed, it is very likely to leak
data and personal privacy, resulting in unpredictable consequences. Traditional encryption …
data and personal privacy, resulting in unpredictable consequences. Traditional encryption …
[HTML][HTML] Adaptive fast-reaching nonsingular terminal sliding mode tracking control for quadrotor UAVs subject to model uncertainties and external disturbances
This paper proposes an adaptive fast-reaching nonsingular terminal sliding mode control
approach for the position and attitude tracking control of a quadrotor UAV subject to model …
approach for the position and attitude tracking control of a quadrotor UAV subject to model …
A deep reinforcement learning method to control chaos synchronization between two identical chaotic systems
H Cheng, H Li, Q Dai, J Yang - Chaos, Solitons & Fractals, 2023 - Elsevier
We propose a model-free deep reinforcement learning method for controlling the
synchronization between two identical chaotic systems, one target and one reference. By …
synchronization between two identical chaotic systems, one target and one reference. By …
Trajectory tracking of differential drive mobile robots using fractional-order proportional-integral-derivative controller design tuned by an enhanced fruit fly optimization
This work proposes a new kind of trajectory tracking controller for the differential drive
mobile robot (DDMR), namely, the nonlinear neural network fractional-order proportional …
mobile robot (DDMR), namely, the nonlinear neural network fractional-order proportional …
Lp synchronization of shunting inhibitory cellular neural networks with multiple proportional delays
X Wang, X Liang, X Zhang, Y Xue - Information Sciences, 2024 - Elsevier
In this paper, synchronization control of shunting inhibitory cellular neural networks with
multiple proportional delays is studied. Firstly, a controller is designed to ensure L p …
multiple proportional delays is studied. Firstly, a controller is designed to ensure L p …
ELM-based adaptive faster fixed-time control of robotic manipulator systems
M Gao, L Ding, X Jin - IEEE Transactions on Neural Networks …, 2021 - ieeexplore.ieee.org
This article addresses the problem of fast fixed-time tracking control for robotic manipulator
systems subject to model uncertainties and disturbances. First, on the basis of a newly …
systems subject to model uncertainties and disturbances. First, on the basis of a newly …