Now showing items 1-10 of 12
Automatic detection of respiratory arrests in OSA patients using PPG and machine learning techniques
Obstructive sleep apnea is a syndrome which is characterized by the decrease in air flow or respiratory arrest depending on upper respiratory tract obstructions recurring during sleep and often observed with the decrease ...
Tolerance rough set firefly-based quick reduct
(Springer London Ltd, 2017)
In medical information system, there are a lot of features and the relationship among elements is solid. In this way, feature selection of medical datasets gets awesome worry as of late. In this article, tolerance rough ...
Hybrid BBO_PSO and higher order spectral features for emotion and stress recognition from natural speech.
The aim of the present study is to select a set of higher order spectral features for emotion/stress recognition system. 50 Bispectral (28 features) and Bicoherence (22 features) based higher order spectral features were ...
Bispectral features and mean shift clustering for stress and emotion recognition from natural speech
(Pergamon-Elsevier Science Ltd, 2017)
A new set of features and feature enhancement techniques are proposed to recognize emotion and stress from speech signal. The speech waveforms and the glottal waveforms (derived from the recorded emotional/stress speech ...
Covering-based rough set classification system
(Springer London Ltd, 2017)
Medical data classification is applied in intelligent medical decision support system to classify diseases into different categories. Several classification methods are commonly used in various healthcare settings. These ...
A novel image segmentation approach based on neutrosophic c-means clustering and indeterminacy filtering
This paper presents a novel image segmentation algorithm based on neutrosophic c-means clustering and indeterminacy filtering method. Firstly, the image is transformed into neutrosophic set domain. Then, a new filter, ...
KNCM: Kernel Neutrosophic c-Means Clustering
Data clustering is an important step in data mining and machine learning. It is especially crucial to analyze the data structures for further procedures. Recently a new clustering algorithm known as 'neutrosophic c-means' ...
Guest editorial: New trends in data pre-processing methods for signal and image classification
[No Abstract Available]
A Hybrid Approach to Image Segmentation: Combination of BBO (Biogeography based optimization) and Histogram Based Cluster Estimation
Image segmentation is the process of separating objects within an image. Image segmentation can be considered as an important computer vision problem in image sensing where the homogeneous regions in an image can be ...
MATLAB GUI Design for Heart Rate Monitoring Using Smart Phone Camera
The heart, which is at the head of the vital organs, carries the oxygen and nutrients needed for the cells of the human body to the cells by being strained and loosened through the veins surrounding the body. HR-heart rate ...