AIMC Topic: Neural Networks, Computer

Clear Filters Showing 24331 to 24340 of 31376 articles

Beat-to-beat estimation of stroke volume using impedance cardiography and artificial neural network.

Medical & biological engineering & computing Nov 18, 2017
Impedance cardiography is a low-cost noninvasive technique, based on monitoring of the thoracic impedance, for estimation of stroke volume (SV). Impedance cardiogram (ICG) is the negative of the first derivative of the impedance signal. A technique f...
Neural Networks, Computer Algorithms Female Humans Male Stroke Volume Middle Aged Aged Young Adult Adult Cardiography, Impedance Signal Processing, Computer-Assisted Echocardiography, Doppler
View on PubMed DOI

Classification of G-protein coupled receptors based on a rich generation of convolutional neural network, N-gram transformation and multiple sequence alignments.

Amino acids Nov 18, 2017
Sequence classification is crucial in predicting the function of newly discovered sequences. In recent years, the prediction of the incremental large-scale and diversity of sequences has heavily relied on the involvement of machine-learning algorithm...
Sequence Analysis, Protein Reproducibility of Results Models, Theoretical Databases, Protein Receptors, G-Protein-Coupled Amino Acid Sequence Sequence Alignment Neural Networks, Computer Machine Learning Algorithms
View on PubMed DOI

A deep auto-encoder model for gene expression prediction.

BMC genomics Nov 17, 2017
BACKGROUND: Gene expression is a key intermediate level that genotypes lead to a particular trait. Gene expression is affected by various factors including genotypes of genetic variants. With an aim of delineating the genetic impact on gene expressio...
Neural Networks, Computer Yeasts Gene Expression Profiling Fungal Proteins Polymorphism, Single Nucleotide Models, Genetic
View on PubMed DOI

Alcoholism Detection by Data Augmentation and Convolutional Neural Network with Stochastic Pooling.

Journal of medical systems Nov 17, 2017
Alcohol use disorder (AUD) is an important brain disease. It alters the brain structure. Recently, scholars tend to use computer vision based techniques to detect AUD. We collected 235 subjects, 114 alcoholic and 121 non-alcoholic. Among the 235 imag...
Chronic Disease Alcoholism Sensitivity and Specificity Male Middle Aged Brain China Humans Female Image Processing, Computer-Assisted Neural Networks, Computer Aged Models, Statistical
View on PubMed DOI

Cell cycle time series gene expression data encoded as cyclic attractors in Hopfield systems.

PLoS computational biology Nov 17, 2017
Modern time series gene expression and other omics data sets have enabled unprecedented resolution of the dynamics of cellular processes such as cell cycle and response to pharmaceutical compounds. In anticipation of the proliferation of time series ...
Saccharomyces cerevisiae Algorithms Cell Cycle Gene Expression Profiling Gene Silencing Transcriptome Humans Computational Biology Neural Networks, Computer Models, Genetic HeLa Cells
View on PubMed DOI

White blood cells identification system based on convolutional deep neural learning networks.

Computer methods and programs in biomedicine Nov 16, 2017
BACKGROUND AND OBJECTIVES: White blood cells (WBCs) differential counting yields valued information about human health and disease. The current developed automated cell morphology equipments perform differential count which is based on blood smear im...
Neutrophils Leukocytes Humans Eosinophils Lymphocytes Neural Networks, Computer Deep Learning Medical Informatics Reproducibility of Results Image Processing, Computer-Assisted Basophils Monocytes
View on PubMed DOI

Forecasting carbon dioxide emissions based on a hybrid of mixed data sampling regression model and back propagation neural network in the USA.

Environmental science and pollution research international Nov 16, 2017
The accurate forecast of carbon dioxide emissions is critical for policy makers to take proper measures to establish a low carbon society. This paper discusses a hybrid of the mixed data sampling (MIDAS) regression model and BP (back propagation) neu...
Neural Networks, Computer Algorithms Forecasting Carbon Dioxide Climate Change Economic Development United States Models, Theoretical Regression Analysis
View on PubMed DOI

Estimation of stress distribution in ferromagnetic tensile specimens using low cost eddy current stress measurement system and BP neural network.

PloS one Nov 16, 2017
Estimation of the stress distribution in ferromagnetic components is very important for evaluating the working status of mechanical equipment and implementing preventive maintenance. Eddy current testing technology is a promising method in this field...
Neural Networks, Computer Magnets Equipment Design Physical Phenomena
View on PubMed DOI

3D multi-view convolutional neural networks for lung nodule classification.

PloS one Nov 16, 2017
The 3D convolutional neural network (CNN) is able to make full use of the spatial 3D context information of lung nodules, and the multi-view strategy has been shown to be useful for improving the performance of 2D CNN in classifying lung nodules. In ...
Neural Networks, Computer Lung Neoplasms Algorithms Tomography, X-Ray Computed Solitary Pulmonary Nodule Humans
View on PubMed DOI

Diffusion-based neuromodulation can eliminate catastrophic forgetting in simple neural networks.

PloS one Nov 16, 2017
A long-term goal of AI is to produce agents that can learn a diversity of skills throughout their lifetimes and continuously improve those skills via experience. A longstanding obstacle towards that goal is catastrophic forgetting, which is when lear...
Learning Memory Humans Neural Networks, Computer Algorithms
View on PubMed DOI
Popular Topics
Recent Journals