AIMC Topic:
Computer Simulation

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A hybrid fault diagnosis methodology with support vector machine and improved particle swarm optimization for nuclear power plants.

ISA transactions May 21, 2019
The safety and public health during nuclear power plant operation can be enhanced by accurately recognizing and diagnosing potential problems when a malfunction occurs. However, there are still obvious technological gaps in fault diagnosis applicatio...
Online Systems Support Vector Machine Nuclear Power Plants Particulate Matter Algorithms Equipment Failure Analysis Computer Simulation
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A Reservoir Computing Model of Reward-Modulated Motor Learning and Automaticity.

Neural computation May 21, 2019
Reservoir computing is a biologically inspired class of learning algorithms in which the intrinsic dynamics of a recurrent neural network are mined to produce target time series. Most existing reservoir computing algorithms rely on fully supervised l...
Nerve Net Reinforcement, Psychology Models, Neurological Neurons Reward Neural Networks, Computer Computer Simulation Humans Neuronal Plasticity
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Some generalized global stability criteria for delayed Cohen-Grossberg neural networks of neutral-type.

Neural networks : the official journal of the International Neural Network Society May 20, 2019
This paper carries out a theoretical investigation into the stability problem for the class of neutral-type Cohen-Grossberg neural networks with discrete time delays in states and discrete neutral delays in time derivative of states. By employing a m...
Computer Simulation Time Factors Neural Networks, Computer Algorithms
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Single-cell approaches to cell competition: High-throughput imaging, machine learning and simulations.

Seminars in cancer biology May 18, 2019
Cell competition is a quality control mechanism in tissues that results in the elimination of less fit cells. Over the past decade, the phenomenon of cell competition has been identified in many physiological and pathological contexts, driven either ...
Animals Neoplasms Single-Cell Analysis Signal Transduction Cell Communication Humans Machine Learning Computer Simulation Molecular Imaging
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A multi-objective optimization approach for brain MRI segmentation using fuzzy entropy clustering and region-based active contour methods.

Magnetic resonance imaging May 17, 2019
In this paper, we present a new multi-objective optimization approach for segmentation of Magnetic Resonance Imaging (MRI) of the human brain. The proposed algorithm not only takes advantages but also solves major drawbacks of two well-known compleme...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Fuzzy Logic Cluster Analysis Brain Mapping Algorithms Entropy Humans Brain Computer Simulation
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HOME: a histogram based machine learning approach for effective identification of differentially methylated regions.

BMC bioinformatics May 16, 2019
BACKGROUND: The development of whole genome bisulfite sequencing has made it possible to identify methylation differences at single base resolution throughout an entire genome. However, a persistent challenge in DNA methylome analysis is the accurate...
Time Factors Mice Databases, Genetic Computer Simulation Animals DNA Methylation Molecular Sequence Annotation Machine Learning Algorithms
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A new noise-tolerant and predefined-time ZNN model for time-dependent matrix inversion.

Neural networks : the official journal of the International Neural Network Society May 15, 2019
In this work, a new zeroing neural network (ZNN) using a versatile activation function (VAF) is presented and introduced for solving time-dependent matrix inversion. Unlike existing ZNN models, the proposed ZNN model not only converges to zero within...
Neural Networks, Computer Computer Simulation Signal-To-Noise Ratio
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Meaning-driven syntactic predictions in a parallel processing architecture: Theory and algorithmic modeling of ERP effects.

Neuropsychologia May 14, 2019
Syntactic and semantic information processing can interact selectively during language comprehension. However, the nature and extent of the interactions, in particular of semantic effects on syntax, remain to some extent elusive. We revisit an influe...
Models, Theoretical Comprehension Evoked Potentials Algorithms Computer Simulation Language Humans Neural Networks, Computer
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nCREANN: Nonlinear Causal Relationship Estimation by Artificial Neural Network; Applied for Autism Connectivity Study.

IEEE transactions on medical imaging May 13, 2019
Quantifying causal (effective) interactions between different brain regions are very important in neuroscience research. Many conventional methods estimate effective connectivity based on linear models. However, using linear connectivity models may o...
Neural Networks, Computer Autism Spectrum Disorder Brain Humans Nerve Net Electroencephalography Signal Processing, Computer-Assisted Nonlinear Dynamics Computer Simulation Child
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DoGNet: A deep architecture for synapse detection in multiplexed fluorescence images.

PLoS computational biology May 13, 2019
Neuronal synapses transmit electrochemical signals between cells through the coordinated action of presynaptic vesicles, ion channels, scaffolding and adapter proteins, and membrane receptors. In situ structural characterization of numerous synaptic ...
Mice Neural Networks, Computer Computational Biology Software Models, Neurological Cerebral Cortex Nerve Tissue Proteins Databases, Factual Animals Synaptic Transmission Image Processing, Computer-Assisted Computer Simulation Neurons Microscopy, Fluorescence, Multiphoton Synapses
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