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Usage of output-dependent data scaling in modeling and prediction of air pollution daily concentration values (PM10) in the city of Konya
(Springer London Ltd, 2012)
This paper presents the combination of a data preprocessing called output-dependent data scaling (ODDS) and adaptive network-based fuzzy inference system (ANFIS) to predict the air pollution daily levels including particulate ...
Application of the output dependent feature scaling in modeling and prediction of performance of counter flow vortex tube having various nozzles numbers at different inlet pressures of air, oxygen, nitrogen and argon
(Elsevier Sci Ltd, 2011)
In this study, the performance of the counter flow type vortex tube with the input parameters including the nozzle number (N), the densities of inlet gases (air, oxygen, nitrogen, and argon) and the inlet pressure (P-inlet) ...
Automatic detection of respiratory arrests in OSA patients using PPG and machine learning techniques
(Springer, 2017)
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.
(Elsevier, 2017)
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 ...
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 ...
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 hybrid dermoscopy images segmentation approach based on neutrosophic clustering and histogram estimation
(Elsevier, 2018)
In this work, a novel skin lesion detection approach, called HBCENCM, is proposed using histogram-based clustering estimation (HBCE) algorithm to determine the required number of clusters in the neutrosophic c-means ...
A Hybrid SCA Inspired BBO for Feature Selection Problems
(Hindawi Ltd, 2019)
Recent trend of research is to hybridize two and more metaheuristics algorithms to obtain superior solution in the field of optimization problems. This paper proposes a newly developed wrapper-based feature selection method ...
