AIMC Topic: Diffusion

Clear Filters Showing 81 to 90 of 136 articles

Local hypergraph clustering using capacity releasing diffusion.

PloS one Dec 23, 2020
Local graph clustering is an important machine learning task that aims to find a well-connected cluster near a set of seed nodes. Recent results have revealed that incorporating higher order information significantly enhances the results of graph clu...
Cluster Analysis Diffusion Machine Learning Algorithms
View on PubMed DOI

Analyzing protein dynamics from fluorescence intensity traces using unsupervised deep learning network.

Communications biology Nov 12, 2020
We propose an unsupervised deep learning network to analyze the dynamics of membrane proteins from the fluorescence intensity traces. This system was trained in an unsupervised manner with the raw experimental time traces and synthesized ones, so nei...
Humans Deep Learning HeLa Cells Carbocyanines Membrane Proteins MCF-7 Cells Microscopy, Fluorescence Unsupervised Machine Learning Fluorescent Dyes Diffusion
View on PubMed DOI

Presence of emerging organic contaminants and solvents in schools using passive sampling.

The Science of the total environment Oct 13, 2020
In this study, we report on the applicability of passive sampling with Carbopack X adsorbent tubes followed by thermal desorption gas-chromatography-mass spectrometry (TD-GC-MS) to monitor the concentrations of emerging organic contaminants (EOCs) an...
Diffusion Air Pollutants Environmental Monitoring Solvents Gas Chromatography-Mass Spectrometry Schools
View on PubMed DOI

Boundary Mittag-Leffler stabilization of fractional reaction-diffusion cellular neural networks.

Neural networks : the official journal of the International Neural Network Society Sep 15, 2020
Mittag-Leffler stabilization is studied for fractional reaction-diffusion cellular neural networks (FRDCNNs) in this paper. Different from previous literature, the FRDCNNs in this paper are high-dimensional systems, and boundary control and observed-...
Diffusion Uncertainty Neural Networks, Computer
View on PubMed DOI

Modeling of Cu(II) Adsorption from an Aqueous Solution Using an Artificial Neural Network (ANN).

Molecules (Basel, Switzerland) Jul 17, 2020
This research optimized the adsorption performance of rice husk char (RHC4) for copper (Cu(II)) from an aqueous solution. Various physicochemical analyses such as Fourier transform infrared spectroscopy (FTIR), field-emission scanning electron micros...
Water Pollutants, Chemical Adsorption Algorithms Water Kinetics Diffusion Models, Molecular Copper Neural Networks, Computer Thermodynamics Sulfur Solutions
View on PubMed DOI

Resilient fault-tolerant anti-synchronization for stochastic delayed reaction-diffusion neural networks with semi-Markov jump parameters.

Neural networks : the official journal of the International Neural Network Society Feb 28, 2020
This paper deals with the anti-synchronization issue for stochastic delayed reaction-diffusion neural networks subject to semi-Markov jump parameters. A resilient fault-tolerant controller is utilized to ensure the anti-synchronization in the presenc...
Diffusion Markov Chains Stochastic Processes Humans Neural Networks, Computer
View on PubMed DOI

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...
Support Vector Machine Disease Vectors Models, Biological Communicable Diseases Animals Diffusion Disease Outbreaks Population
View on PubMed DOI

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...
Time Factors Neural Networks, Computer Diffusion
View on PubMed DOI

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.
Normal Distribution Machine Learning Diffusion Models, Theoretical Skin Absorption Temperature Permeability Skin
View on PubMed DOI

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...
Neural Networks, Computer Uncertainty Algorithms Diffusion
View on PubMed DOI
Popular Topics
Recent Journals