AIMC Topic: Pattern Recognition, Automated
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Gait features analysis using artificial neural networks - testing the footwear effect.
Acta of bioengineering and biomechanics
Jan 1, 2017
PURPOSE: The aim of this paper is to provide the methods for automatic detection of the difference in gait features depending on a footwear.
Machine Vision-Based Measurement Systems for Fruit and Vegetable Quality Control in Postharvest.
Advances in biochemical engineering/biotechnology
Jan 1, 2017
Individual items of any agricultural commodity are different from each other in terms of colour, shape or size. Furthermore, as they are living thing, they change their quality attributes over time, thereby making the development of accurate automati...
Features extraction and multi-classification of sEMG using a GPU-Accelerated GA/MLP hybrid algorithm.
Journal of X-ray science and technology
Jan 1, 2017
BACKGROUND: Surface electromyography (sEMG) signal is the combined effect of superficial muscle EMG and neural electrical activity. In recent years, researchers did large amount of human-machine system studies by using the physiological signals as co...
Modeling Movement Primitives with Hidden Markov Models for Robotic and Biomedical Applications.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2017
Movement primitives are elementary motion units and can be combined sequentially or simultaneously to compose more complex movement sequences. A movement primitive timeseries consist of a sequence of motion phases. This progression through a set of m...
Multiple sensors-based kernel machine learning in smart environment.
The Review of scientific instruments
Jan 1, 2017
Sensor-based monitoring systems use multiple sensors to identify high-level information based on the events that take place in a monitored environment. Identification and health care are important tasks in the smart environment. This paper presents a...
Stationary Wavelet Transform and AdaBoost with SVM Based Pathological Brain Detection in MRI Scanning.
CNS & neurological disorders drug targets
Jan 1, 2017
This paper presents an automatic classification system for segregating pathological brain from normal brains in magnetic resonance imaging scanning. The proposed system employs contrast limited adaptive histogram equalization scheme to enhance the di...
A Pathological Brain Detection System based on Extreme Learning Machine Optimized by Bat Algorithm.
CNS & neurological disorders drug targets
Jan 1, 2017
AIM: It is beneficial to classify brain images as healthy or pathological automatically, because 3D brain images can generate so much information which is time consuming and tedious for manual analysis. Among various 3D brain imaging techniques, magn...
Role of Artificial Intelligence Techniques (Automatic Classifiers) in Molecular Imaging Modalities in Neurodegenerative Diseases.
Current Alzheimer research
Jan 1, 2017
Artificial Intelligence (AI) is a very active Computer Science research field aiming to develop systems that mimic human intelligence and is helpful in many human activities, including Medicine. In this review we presented some examples of the exploi...
Adapting to Artificial Intelligence: Radiologists and Pathologists as Information Specialists.
JAMA
Dec 13, 2016
High-throughput time-stretch imaging flow cytometry for multi-class classification of phytoplankton.
Optics express
Dec 12, 2016
Time-stretch imaging has been regarded as an attractive technique for high-throughput imaging flow cytometry primarily owing to its real-time, continuous ultrafast operation. Nevertheless, two key challenges remain: (1) sufficiently high time-stretch...
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