Now showing items 21-30 of 76
An innovative peak detection algorithm for photoplethysmography signals: an adaptive segmentation method
(Tubitak Scientific & Technical Research Council Turkey, 2016)
The purpose of this paper is twofold. The first purpose is to detect M-peaks from raw photoplethysmography (PPG) signals with no preprocessing method applied to the signals. The second purpose is to estimate heart rate ...
Histogram-based automatic segmentation of images
The segmentation process is defined by separating the objects as clustering in the images. The most used method in the segmentation is k-means clustering algorithm. k-means clustering algorithm needs the number of clusters, ...
Special Issue: Soft computing in software engineering Preface
(Elsevier Science Bv, 2016)
[No Abstract Available]
Classification of vertebral column disorders and lumbar discs disease using attribute weighting algorithm with mean shift clustering
(Elsevier Sci Ltd, 2016)
In this article, a new data pre-processing method has been suggested to detect and classify vertebral column disorders and lumbar disc diseases with a high accuracy level. The suggested pre-processing method is called the ...
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 ...
CLASSIFICATION OF DIFFERENT FOREST TYPES W ITH MACHINE LEARNING ALGORITHMS
(Latvia Univ Life Sciences & Technologies, 2016)
In this study, forest type mapping data set taken from UCI (University of California, Irvine) machine learning repository database has been classified using different machine learning algorithms including Multilayer ...
Particle Swarm Optimization Based Feature Enhancement and Feature Selection for Improved Emotion Recognition in Speech and Glottal Signals
(Public Library Science, 2015)
In the recent years, many research works have been published using speech related features for speech emotion recognition, however, recent studies show that there is a strong correlation between emotional states and glottal ...
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, ...
Improved binary dragonfly optimization algorithm and wavelet packet based non-linear features for infant cry classification
(Elsevier Ireland Ltd, 2018)
Background and objective: Infant cry signal carries several levels of information about the reason for crying (hunger, pain, sleepiness and discomfort) or the pathological status (asphyxia, deaf, jaundice, premature condition ...