AIMC Topic: Diffusion

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Mittag-Leffler synchronization of fractional neural networks with time-varying delays and reaction-diffusion terms using impulsive and linear controllers.

Neural networks : the official journal of the International Neural Network Society Sep 8, 2017
In this paper, we propose a fractional-order neural network system with time-varying delays and reaction-diffusion terms. We first develop a new Mittag-Leffler synchronization strategy for the controlled nodes via impulsive controllers. Using the fra...
Memory, Long-Term Diffusion Linear Models Neural Networks, Computer Time Factors Reaction Time Algorithms
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Synchronization of stochastic reaction-diffusion neural networks with Dirichlet boundary conditions and unbounded delays.

Neural networks : the official journal of the International Neural Network Society May 10, 2017
In this paper, synchronization of stochastic reaction-diffusion neural networks with Dirichlet boundary conditions and unbounded discrete time-varying delays is investigated. By virtue of theories of partial differential equations, inequality methods...
Stochastic Processes Computer Simulation Neural Networks, Computer Diffusion Algorithms
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State Estimation for Delayed Genetic Regulatory Networks With Reaction-Diffusion Terms.

IEEE transactions on neural networks and learning systems Nov 14, 2016
This paper addresses the problem of state estimation for delayed genetic regulatory networks (DGRNs) with reaction-diffusion terms using Dirichlet boundary conditions. The nonlinear regulation function of DGRNs is assumed to exhibit the Hill form. Th...
Algorithms Animals Time Factors Humans Neural Networks, Computer Models, Genetic Models, Theoretical Diffusion Gene Regulatory Networks Computational Biology
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Global synchronization of memristive neural networks subject to random disturbances via distributed pinning control.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2016
This paper presents theoretical results on global exponential synchronization of multiple memristive neural networks in the presence of external noise by means of two types of distributed pinning control. The multiple memristive neural networks are c...
Algorithms Computer Simulation Nonlinear Dynamics Random Allocation Diffusion Neural Networks, Computer
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Combined inverse-forward artificial neural networks for fast and accurate estimation of the diffusion coefficients of cartilage based on multi-physics models.

Journal of biomechanics Jun 23, 2016
Analytical and numerical methods have been used to extract essential engineering parameters such as elastic modulus, Poisson׳s ratio, permeability and diffusion coefficient from experimental data in various types of biological tissues. The major limi...
Elastic Modulus Diffusion Cartilage, Articular Computer Simulation Time Factors Neural Networks, Computer
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Automatic detection of diffusion modes within biological membranes using back-propagation neural network.

BMC bioinformatics May 4, 2016
BACKGROUND: Single particle tracking (SPT) is nowadays one of the most popular technique to probe spatio-temporal dynamics of proteins diffusing within the plasma membrane. Indeed membrane components of eukaryotic cells are very dynamic molecules and...
Motion Cell Membrane Algorithms Neural Networks, Computer Models, Biological Diffusion
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Liver vessel segmentation based on extreme learning machine.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) May 4, 2016
Liver-vessel segmentation plays an important role in vessel structure analysis for liver surgical planning. This paper presents a liver-vessel segmentation method based on extreme learning machine (ELM). Firstly, an anisotropic filter is used to remo...
Algorithms Tomography, X-Ray Computed Sensitivity and Specificity Imaging, Three-Dimensional Reproducibility of Results Humans Radiography, Abdominal Machine Learning Anisotropy Radiotherapy Planning, Computer-Assisted Diffusion Image Processing, Computer-Assisted False Positive Reactions Liver
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Consensus analysis of networks with time-varying topology and event-triggered diffusions.

Neural networks : the official journal of the International Neural Network Society Sep 8, 2015
This paper studies the consensus problem of networks with time-varying topology. Event-triggered rules are employed in diffusion coupling terms to reduce the updating load of the coupled system. Two strategies are considered: event-triggered strategy...
Computer Simulation Neural Networks, Computer Diffusion Algorithms
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Understanding Networks of Computing Chemical Droplet Neurons Based on Information Flow.

International journal of neural systems Dec 4, 2014
In this paper, we present general methods that can be used to explore the information processing potential of a medium composed of oscillating (self-exciting) droplets. Networks of Belousov-Zhabotinsky (BZ) droplets seem especially interesting as che...
Entropy Information Theory Neural Networks, Computer Video Recording Algorithms Linear Models Computer Simulation Periodicity Diffusion Microfluidics
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Dose-aware denoising diffusion model for low-dose CT.

Physics in medicine and biology Jul 15, 2025
Low-dose computed tomography (LDCT) denoising plays an important role in medical imaging for reducing the radiation dose to patients. Recently, various data-driven and diffusion-based deep learning (DL) methods have been developed and shown promising...
Humans Tomography, X-Ray Computed Radiation Dosage Deep Learning Diffusion Image Processing, Computer-Assisted Signal-To-Noise Ratio
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