AIMC Topic: Neural Networks, Computer

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Monostable multivibrators as novel artificial neurons.

Neural networks : the official journal of the International Neural Network Society Aug 23, 2018
Retriggerable and non-retriggerable monostable multivibrators are simple timers with a single characteristic, their period. Motivated by the fact that monostable multivibrators are implementable in large quantities as counters in digital programmable...
Neurons Memory Neural Networks, Computer Models, Neurological
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Comparison of response surface methodology and artificial neural network to optimize novel ophthalmic flexible nano-liposomes: Characterization, evaluation, in vivo pharmacokinetics and molecular dynamics simulation.

Colloids and surfaces. B, Biointerfaces Aug 23, 2018
To improve the topical delivery of pilocarpine hydrochloride (PN) to treat glaucoma, flexible nano-liposomes containing PN (PN-FLs) were prepared, optimized and characterized. Artificial neural network (ANN) and response surface methodology (RSM) wer...
Animals Thermodynamics Nanoparticles Irritants Neural Networks, Computer Spectroscopy, Fourier Transform Infrared Pilocarpine Drug Liberation Particle Size Molecular Dynamics Simulation Liposomes Ophthalmic Solutions Rabbits Static Electricity
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Spectral Identification of Disease in Weeds Using Multilayer Perceptron with Automatic Relevance Determination.

Sensors (Basel, Switzerland) Aug 23, 2018
, a smut fungus, is studied as an agent for the biological control of (milk thistle) weed. Confirmation of the systemic infection is essential in order to assess the effectiveness of the biological control application and assist decision-making. Non...
Plant Diseases Spectrum Analysis Basidiomycota Biological Control Agents Silybum marianum Neural Networks, Computer Algorithms Plant Weeds
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Analyzing single-lead short ECG recordings using dense convolutional neural networks and feature-based post-processing to detect atrial fibrillation.

Physiological measurement Aug 23, 2018
OBJECTIVE: The prevalence of atrial fibrillation (AF) in the general population is 0.5%-1%. As AF is the most common sustained cardiac arrhythmia that is associated with an increased morbidity and mortality, its timely diagnosis is clinically desirab...
Electrocardiography Signal Processing, Computer-Assisted Atrial Fibrillation Humans Neural Networks, Computer
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Deep Convolutional Neural Network Used in Single Sample per Person Face Recognition.

Computational intelligence and neuroscience Aug 23, 2018
Face recognition (FR) with single sample per person (SSPP) is a challenge in computer vision. Since there is only one sample to be trained, it makes facial variation such as pose, illumination, and disguise difficult to be predicted. To overcome this...
Pattern Recognition, Automated Machine Learning Humans Image Processing, Computer-Assisted Neural Networks, Computer Face
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Predictive pollen-based biome modeling using machine learning.

PloS one Aug 23, 2018
This paper investigates suitability of supervised machine learning classification methods for classification of biomes using pollen datasets. We assign modern pollen samples from Africa and Arabia to five biome classes using a previously published Af...
Models, Statistical Decision Trees Bayes Theorem Logistic Models Support Vector Machine Statistics, Nonparametric Discriminant Analysis Algorithms Pollen Neural Networks, Computer Supervised Machine Learning Ecosystem Fossils Climate Change Africa
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Quiet sleep detection in preterm infants using deep convolutional neural networks.

Journal of neural engineering Aug 22, 2018
OBJECTIVE: Neonates spend most of their time asleep. Sleep of preterm infants evolves rapidly throughout maturation and plays an important role in brain development. Since visual labelling of the sleep stages is a time consuming task, automated analy...
Sleep Neural Networks, Computer Automation Humans Algorithms Sleep Stages Infant, Premature Female Brain Infant, Newborn Male Electroencephalography Wakefulness
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Combinatorial Scoring of Phylogenetic Trees and Networks Based on Homoplasy-Free Characters.

Journal of computational biology : a journal of computational molecular cell biology Aug 22, 2018
Construction of phylogenetic trees and networks for extant species from their characters represents one of the key problems in phylogenomics. While solution to this problem is not always uniquely defined and there exist multiple methods for tree/netw...
Algorithms Phylogeny Child Humans Neural Networks, Computer Color Mathematical Concepts Computational Biology Models, Genetic
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Convolutional neural networks automate detection for tracking of submicron-scale particles in 2D and 3D.

Proceedings of the National Academy of Sciences of the United States of America Aug 22, 2018
Particle tracking is a powerful biophysical tool that requires conversion of large video files into position time series, i.e., traces of the species of interest for data analysis. Current tracking methods, based on a limited set of input parameters ...
Nanoparticles Particle Size Video Recording Neural Networks, Computer Machine Learning Automation
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Artificial intelligence in stroke care: Deep learning or superficial insight?

EBioMedicine Aug 22, 2018
Deep Learning Stroke Humans Neural Networks, Computer Artificial Intelligence
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