Browsing by Keywords "Feature extraction"
Now showing items 21-40 of 99
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Detection of acute myocardial ischemia based on support vector machines
(IEEE, 2018)In patients with acute myocardial ischemia, chest pains together with changes in ST/T sections of ECG signal occur before the start of myocardial infarction. In this study, in order to diagnose acute myocardial ischemia, ... -
Developing a text categorization template for Turkish news portals
(IEEE, 2011)In news portals, text category information is needed for news presentation. However, for many news stories the category information is unavailable, incorrectly assigned or too generic. This makes the text categorization a ... -
Diagnosis of gastric carcinoma by classification on feature projections
(Elsevier, 2004)A new classification algorithm, called benefit maximizing classifier on feature projections (BCFP), is developed and applied to the problem of diagnosis of gastric carcinoma. The domain contains records of patients with ... -
Diferansiyel PIR algılayıcılarla dalgacık tabanlı alev tespiti
(IEEE, 2012-04)Bu makalede, diferansiyel kızılberisi algılayıcı (PIR) kullanılarak geliştirilen bir alev tespit sistemi önerilmektedir. Diferansiyel kızılberisi algılayıcılar, yalnızca görüş alanlarındaki ani sıcaklık değişikliklerine ... -
Differentiation and localization of targets using infrared sensors
(Elsevier, 2002)This study investigates the use of low-cost infrared emitters and detectors in the differentiation and localization of commonly encountered features or targets in indoor environments, such as planes, corners, edges, and ... -
Distribution of aortic mechanical prosthetic valve closure sound model parameters on the surface of the chest
(Institute of Electrical and Electronics Engineers, 1995-04)It has been previously proposed that heart valve closure sounds can be modeled by a sum of decaying sinusoids, based on the hypothesis that the heart cavity, heart walls, major vessels, and other structures in the chest ... -
Early diagnosis of acute coronary syndromes automatically by using features of ECG recordings = EKG kayıtlarının öznitelikleri kullanılarak akut koroner sendromların otomatik olarak erken teşhisi
(Bilkent University, 2014)In patients with acute coronary syndrome, temporary chest pains together with changes in the ST/T sections of ECG occur shortly before the start of myocardial infarction. In order to diagnose acute coronary syndromes ... -
EEG sinyallerinde gamma tepkisinin tespiti
(IEEE, 2006-04)In the detection of the existence of the early gamma response, subjective methods have been used. In this study, an automated gamma detection technique is developed based on the features obtained from the time - frequency ... -
Evidential logical sensing using multiple sonars for the identification of target primitives in a mobile robot's environment
(IEEE, 1996)Physical models are used to model reflections from target primitives commonly encountered in mobile robot applications. These targets are differentiated by employing a multi-transducer pulse/echo system which relies on ... -
Extraction of sparse spatial filters using Oscillating Search
(IEEE, 2012)Common Spatial Pattern algorithm (CSP) is widely used in Brain Machine Interface (BMI) technology to extract features from dense electrode recordings by using their weighted linear combination. However, the CSP algorithm, ... -
Eye tracking using markov models
(IEEE, 2004)We propose an eye detection and tracking method based on color and geometrical features of the human face using a monocular camera. In this method a decision is made on whether the eyes are closed or not and, using a Markov ... -
Fall detection using single-tree complex wavelet transform
(Elsevier, 2013)The goal of Ambient Assisted Living (AAL) research is to improve the quality of life of the elderly and handicapped people and help them maintain an independent lifestyle with the use of sensors, signal processing and ... -
Fast insect damage detection in wheat kernels using transmittance images
(IEEE, 2004-07)We used transmittance images and different learning algorithms to classify insect damaged and un-damaged wheat kernels. Using the histogram of the pixels of the wheat images as the feature, and the linear model as the ... -
Feature extraction with the fractional Fourier transform
(Bilkent University, 1998)In this work, alternative design and implementation techniques for feature extraction applications are proposed. The proposed techniques amount to decomposing the overall feature extraction problem into a global linear ... -
Fractional fourier transform in time series prediction
(IEEE, 2022-12-09)Several signal processing tools are integrated into machine learning models for performance and computational cost improvements. Fourier transform (FT) and its variants, which are powerful tools for spectral analysis, are ... -
Human action recognition with line and flow histograms
(IEEE, 2008-12)We present a compact representation for human action recognition in videos using line and optical flow histograms. We introduce a new shape descriptor based on the distribution of lines which are fitted to boundaries of ... -
Human activity recognition using inertial/magnetic sensor units
(Springer, Berlin, Heidelberg, 2010)This paper provides a comparative study on the different techniques of classifying human activities that are performed using body-worn miniature inertial and magnetic sensors. The classification techniques implemented and ... -
A hybrid framework for sequential data prediction with end-to-end optimization
(Elsevier, 2022-08-08)We investigate nonlinear prediction in an online setting and introduce a hybrid model that effectively mitigates, via an end-to-end architecture, the need for hand-designed features and manual model selection issues of ... -
Image feature extraction using 2D mel-cepstrum
(IEEE, 2010)In this paper, a feature extraction method based on two-dimensional (2D) mel-cepstrum is introduced. Feature matrices resulting from the 2D mel-cepstrum, Fourier LDA approach and original image matrices are individually ... -
Image feature extraction using compressive sensing
(Springer, 2014)In this paper a new approach for image feature extraction is presented. We used the Compressive Sensing (CS) concept to generate the measurement matrix. The new measurement matrix is different from the measurement matrices ...