AIMC Topic: Neural Networks, Computer

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A hierarchically trained generative network for robust facial symmetrization.

Technology and health care : official journal of the European Society for Engineering and Medicine
Face symmetrization has extensive applications in both medical and academic fields, such as facial disorder diagnosis. Human face possesses an important characteristic, which is as known as symmetry. However, in many scenarios, the perfect symmetry d...

sEMG-angle estimation using feature engineering techniques for least square support vector machine.

Technology and health care : official journal of the European Society for Engineering and Medicine
In the practical implementation of control of electromyography (sEMG) driven devices, algorithms should recognize the human's motion from sEMG with fast speed and high accuracy. This study proposes two feature engineering (FE) techniques, namely, fea...

Superstitious Perception: Comparing Perceptual Prediction by Humans and Neural Networks.

Current topics in behavioral neurosciences
Recent developments in convolutional neural networks (CNNs) have introduced new ways to model the complex processes of human vision. To date, the comparison of human vision and CNNs has focused on internal representations (i.e., receptive fields), wi...

Artificial intelligence in service of medicine.

Bratislavske lekarske listy
The race to make the dream of artificial intelligence a reality comes parallel with the increasing struggle of health care systems to cope with information overload and translational pressure. It is clear that a shift in the way data is generated req...

Emotion Recognition Using Electrodermal Activity Signals and Multiscale Deep Convolution Neural Network.

Studies in health technology and informatics
Automated emotion recognition plays a vital role in problem solving, decision making and social activities of human life. An emotion is a set of reactions and experience to a given conditions, which are modeled as a linear combination of arousal and ...

Building deep learning models for evidence classification from the open access biomedical literature.

Database : the journal of biological databases and curation
We investigate the application of deep learning to biocuration tasks that involve classification of text associated with biomedical evidence in primary research articles. We developed a large-scale corpus of molecular papers derived from PubMed and P...

The application of artificial neural networks (ANN) for the denaturation of meat proteins – the kinetic analysis method.

Acta scientiarum polonorum. Technologia alimentaria
BACKGROUND: Artificial neural networks (ANN) are a common mathematical tool widely used in many research fields. Since they are applicable to non-linear relationships and do not require preliminary assumptions, they are a particularly promising tool ...

Automated Rating of Multiple Sclerosis Test Results Using a Convolutional Neural Network.

Studies in health technology and informatics
This work concerns methods for automated rating of the progression of Multiple Sclerosis (MS). Often, MS patients develop cognitive deficits. The Brief Visuospatial Memory Test-Revised (BVMT-R) is a recognized method to measure optical recognition de...

A novel fast solving method for targeted drug-delivery capsules in the gastrointestinal tract.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: As an innovative technique without cable connection, targeted drug-delivery capsules improve diagnostic and therapeutic capabilities in the gastrointestinal (GI) tract.