AIMC Topic: Neural Networks, Computer

Clear Filters Showing 21541 to 21550 of 31376 articles

LDAPred: A Method Based on Information Flow Propagation and a Convolutional Neural Network for the Prediction of Disease-Associated lncRNAs.

International journal of molecular sciences Sep 10, 2019
Long non-coding RNAs (lncRNAs) play a crucial role in the pathogenesis and development of complex diseases. Predicting potential lncRNA-disease associations can improve our understanding of the molecular mechanisms of human diseases and help identify...
Algorithms Reproducibility of Results Sensitivity and Specificity Humans Neural Networks, Computer Computational Biology MicroRNAs RNA, Long Noncoding Neoplasms Genetic Predisposition to Disease
View on PubMed DOI

SRGC-Nets: Sparse Repeated Group Convolutional Neural Networks.

IEEE transactions on neural networks and learning systems Sep 9, 2019
Group convolution is widely used in many mobile networks to remove the filter's redundancy from the channel extent. In order to further reduce the redundancy of group convolution, this article proposes a novel repeated group convolutional (RGC) kerne...
Computers, Handheld Neural Networks, Computer Databases, Factual
View on PubMed DOI

Recognition of words from brain-generated signals of speech-impaired people: Application of autoencoders as a neural Turing machine controller in deep neural networks.

Neural networks : the official journal of the International Neural Network Society Sep 9, 2019
There is an essential requirement to support people with speech and communication disabilities. A brain-computer interface using electroencephalography (EEG) is applied to satisfy this requirement. A number of research studies to recognize brain sign...
Speech Disorders Brain Deep Learning Humans Brain-Computer Interfaces Electroencephalography Neural Networks, Computer Speech Recognition Software
View on PubMed DOI

On the validity of memristor modeling in the neural network literature.

Neural networks : the official journal of the International Neural Network Society Sep 9, 2019
An analysis of the literature shows that there are two types of non-memristive models that have been widely used in the modeling of so-called "memristive" neural networks. Here, we demonstrate that such models have nothing in common with the concept ...
Reproducibility of Results Memory Neural Networks, Computer
View on PubMed DOI

Prediction of environmental effects in received signal strength in FM/TV station based on meteorological parameters using artificial neural network and data mining.

Journal of environmental management Sep 9, 2019
In this paper, meteorological parameters, electric field strength and transmitters' output power measured during six months in a TV/FM station. There are 13 frequencies in FM and UHF frequency bands in pilot broadcast station. The analysis of results...
Wind Environmental Monitoring Linear Models Meteorology Data Mining Neural Networks, Computer
View on PubMed DOI

Pixelwise Estimation of Signal-Dependent Image Noise Using Deep Residual Learning.

Computational intelligence and neuroscience Sep 9, 2019
In traditional image denoising, noise level is an important scalar parameter which decides how much the input noisy image should be smoothed. Existing noise estimation methods often assume that the noise level is constant at every pixel. However, rea...
Signal-To-Noise Ratio Normal Distribution Humans Deep Learning Algorithms Neural Networks, Computer Image Processing, Computer-Assisted
View on PubMed DOI

A LightGBM-Based EEG Analysis Method for Driver Mental States Classification.

Computational intelligence and neuroscience Sep 9, 2019
Fatigue driving can easily lead to road traffic accidents and bring great harm to individuals and families. Recently, electroencephalography- (EEG-) based physiological and brain activities for fatigue detection have been increasingly investigated. H...
Cluster Analysis Neural Networks, Computer Humans Algorithms Electroencephalography Automobile Driving Signal Processing, Computer-Assisted Brain-Computer Interfaces Brain Support Vector Machine
View on PubMed DOI

Streaming chunk incremental learning for class-wise data stream classification with fast learning speed and low structural complexity.

PloS one Sep 9, 2019
Due to the fast speed of data generation and collection from advanced equipment, the amount of data obviously overflows the limit of available memory space and causes difficulties achieving high learning accuracy. Several methods based on discard-aft...
Supervised Machine Learning Datasets as Topic Humans Neural Networks, Computer Cluster Analysis
View on PubMed DOI

Artificial intelligence-based versus manual assessment of prostate cancer in the prostate gland: a method comparison study.

Clinical physiology and functional imaging Sep 8, 2019
AIM: To test the feasibility of a fully automated artificial intelligence-based method providing PET measures of prostate cancer (PCa).
Aged Workflow Male Automation Predictive Value of Tests Feasibility Studies Humans Fluorine Radioisotopes Prostatic Neoplasms Choline Positron Emission Tomography Computed Tomography Middle Aged Radiopharmaceuticals Prostatectomy Neural Networks, Computer Prostate Image Interpretation, Computer-Assisted
View on PubMed DOI

Automatic detection of epileptic seizure based on approximate entropy, recurrence quantification analysis and convolutional neural networks.

Artificial intelligence in medicine Sep 7, 2019
Epilepsy is the most common neurological disorder in humans. Electroencephalogram is a prevalent tool for diagnosing the epileptic seizure activity in clinical, which provides valuable information for understanding the physiological mechanisms behind...
Databases, Factual Sensitivity and Specificity Entropy Humans Epilepsy Automation Neural Networks, Computer Recurrence Seizures Electroencephalography Algorithms
View on PubMed DOI
Popular Topics
Recent Journals