AIMC Topic: Diffusion

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Location of sources in reaction-diffusion equations using support vector machines.

PloS one Dec 5, 2019
The reaction-diffusion equation serves to model systems in the diffusion regime with sources. Specific applications include diffusion processes in chemical reactions, as well as the propagation of species, diseases, and populations in general. In som...
Disease Vectors Diffusion Population Support Vector Machine Models, Biological Animals Disease Outbreaks Communicable Diseases
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Global exponential synchronization of delayed memristive neural networks with reaction-diffusion terms.

Neural networks : the official journal of the International Neural Network Society Nov 29, 2019
This paper investigates the global exponential synchronization problem of delayed memristive neural networks (MNNs) with reaction-diffusion terms. First, by utilizing the pinning control technique, two novel kinds of control methods are introduced to...
Neural Networks, Computer Diffusion Time Factors
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The influence of diffusion cell type and experimental temperature on machine learning models of skin permeability.

The Journal of pharmacy and pharmacology Nov 14, 2019
OBJECTIVES: The aim of this study was to use Gaussian process regression (GPR) methods to quantify the effect of experimental temperature (T ) and choice of diffusion cell on model quality and performance.
Temperature Permeability Models, Theoretical Normal Distribution Machine Learning Skin Absorption Skin Diffusion
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Event-triggered passivity and synchronization of delayed multiple-weighted coupled reaction-diffusion neural networks with non-identical nodes.

Neural networks : the official journal of the International Neural Network Society Sep 17, 2019
This paper solves the event-triggered passivity and synchronization problems for delayed multiple-weighted coupled reaction-diffusion neural networks (DMWCRDNNs) composed of non-identical nodes with and without parameter uncertainties. On one side, b...
Diffusion Uncertainty Neural Networks, Computer Algorithms
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MRI Gibbs-ringing artifact reduction by means of machine learning using convolutional neural networks.

Magnetic resonance in medicine Aug 2, 2019
PURPOSE: To develop a machine learning approach using convolutional neural network for reducing MRI Gibbs-ringing artifact.
Diffusion Artifacts Image Processing, Computer-Assisted Signal Processing, Computer-Assisted Connectome Phantoms, Imaging Neuroimaging Signal-To-Noise Ratio Machine Learning Algorithms Brain Brain Neoplasms Humans Neural Networks, Computer Knee Diffusion Magnetic Resonance Imaging
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Single-Particle Diffusion Characterization by Deep Learning.

Biophysical journal Jun 22, 2019
Diffusion plays a crucial role in many biological processes including signaling, cellular organization, transport mechanisms, and more. Direct observation of molecular movement by single-particle-tracking experiments has contributed to a growing body...
Diffusion Single Molecule Imaging Computer Simulation Deep Learning Models, Biological
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Stability of stochastic impulsive reaction-diffusion neural networks with S-type distributed delays and its application to image encryption.

Neural networks : the official journal of the International Neural Network Society Apr 4, 2019
In this paper, we study stochastic impulsive reaction-diffusion neural networks with S-type distributed delays, aiming to obtain the sufficient conditions for global exponential stability. First, an impulsive inequality involving infinite delay is in...
Humans Stochastic Processes Pattern Recognition, Automated Neural Networks, Computer Computer Security Time Factors Algorithms Diffusion
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Passivity analysis of delayed reaction-diffusion memristor-based neural networks.

Neural networks : the official journal of the International Neural Network Society Oct 29, 2018
This paper discusses the passivity of delayed reaction-diffusion memristor-based neural networks (RDMNNs). By exploiting inequality techniques and by constructing appropriate Lyapunov functional, several sufficient conditions are obtained in the form...
Neural Networks, Computer Diffusion Algorithms
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Global exponential synchronization of multiple coupled inertial memristive neural networks with time-varying delay via nonlinear coupling.

Neural networks : the official journal of the International Neural Network Society Sep 5, 2018
In this paper, global exponential synchronization of multiple coupled inertial memristive neural networks with time-varying delay is investigated. First, by choosing suitable variable substitution, the inertial memristive neural networks are transfor...
Diffusion Neural Networks, Computer Algorithms Nonlinear Dynamics Time Factors
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Pinning impulsive synchronization for stochastic reaction-diffusion dynamical networks with delay.

Neural networks : the official journal of the International Neural Network Society Aug 1, 2018
This paper considers the problem of the asymptotic synchronization in mean square for stochastic reaction-diffusion complex dynamical networks with infinite delay driven by the Wiener processes in the infinite dimensional space under the pinning impu...
Stochastic Processes Neural Networks, Computer Algorithms Time Factors Diffusion
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