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A symmetric image encryption scheme based on hybrid analog-digital chaotic system and parameter selection mechanism
In recent years, various chaos-based image encryption algorithms have been proposed to meet the growing demand for real-time secure image...
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RINO: Robust INner and Outer Approximated Reachability of Neural Networks Controlled Systems
We present a unified approach, implemented in the RINO tool, for the computation of inner and outer-approximations of reachable sets of discrete-time...
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Physics-guided machine learning from simulated data with different physical parameters
Physics-based models are widely used to study dynamical systems in a variety of scientific and engineering problems. However, these models are...
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Dimensionality reduction of calcium-imaged neuronal population activity
Calcium imaging has been widely adopted for its ability to record from large neuronal populations. To summarize the time course of neural activity,...
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A novel image encryption algorithm based on improved key selection and digital chaotic map
Chaotic systems are widely used in various fields, but under the finite precision device, chaotic systems would fall into a cycle and subsequently...
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Regularization by deep learning in signal processing
In this paper, we explore a new idea of using deep learning representations as a principle for regularization in inverse problems for digital signal...
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Nonlinear Instabilities in TCP-RED
With the growing size and popularity of the Internet, congestion control has emerged as an important problem. Poor management of congestion can...
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Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and a New Physics-Inspired Transformer Model
Image restoration algorithms for atmospheric turbulence are known to be much more challenging to design than traditional ones such as blur or noise...
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Spatial-temporal dynamics of a non-monotone reaction-diffusion Hopfield’s neural network model with delays
In this paper, the spatial-temporal dynamics of a delayed reaction-diffusion Hopfield’s neural network model (HNNM) under a Neumann boundary...
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An audio encryption algorithm based on a non-degenerate 2D integer domain hyper chaotic map over GF(2n)
To ensure the security transmission of audio signals in instant messaging tools, a chaos-based dual-channel one-time one-key audio encryption scheme...
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Secure speech coding using chaotic shift keying for encryption combined with error recovery
This paper presents a speech encryption algorithm utilizing chaotic shift keying alongside error recovery techniques for the G.722.2 codec. The...
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Adaptive Model for Industrial Systems Using Echo State Networks
When a model of an industrial system is developed, it is expected that this model performs consistently when applied to other identically designed...
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A Robust Non-Fragile Control Lag Synchronization for Fractional Order Multi-Weighted Complex Dynamic Networks with Coupling Delays
This problem addresses the fractional order lag synchronization for multi-weighted complex dynamical networks with coupling delays via non-fragile...
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Designing Dynamical Molecular Systems with the PEN Toolbox
This tutorial paper focuses on the design, simulation, and optimization of polymerase–exonuclease–nickase (PEN) toolbox systems. The PEN toolbox is a...
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Construction of a non-degeneracy 3D chaotic map and application to image encryption with keyed S-box
In recent years, chaotic maps have been widely used in image encryption. In order to solve the common problems in chaotic encryption schemes, we...
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Pictorial and Apictorial Polygonal Jigsaw Puzzles from Arbitrary Number of Crossing Cuts
Jigsaw puzzle solving, the problem of constructing a coherent whole from a set of non-overlap** unordered visual fragments, is fundamental to...
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Prediction of fault evolution and remaining useful life for rolling bearings with spalling fatigue using digital twin technology
AbstractQuantifying fault severity is a critical part of rolling bearing health management. There are numerous methods for evaluating the severity of...
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A secure image encryption scheme based on genetic mutation and MLNCML chaotic system
This paper presents a novel encryption scheme based on genetic operations and Mixed Linear-Nonlinear Coupled Logistic Map Lattice (MLNCML)...
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Architectural richness in deep reservoir computing
Reservoir computing (RC) is a popular class of recurrent neural networks (RNNs) with untrained dynamics. Recently, advancements on deep RC...
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Advanced Numerical Simulation of Dynamic Behavior of Railway Infrastructure Under Extreme Conditions
Railway infrastructure presents structural diversity, material variability and performance evolution characteristics during its long-term service....