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Now showing items 21-30 of 40
Measuring blood pressure using a photoplethysmography approach
(Springer-Verlag, 2008-06)
Blood pressure is often measured using a device called a sphygmomanometer, a stethoscope, and a blood pressure cuff. All the existing manual or automatic measuring techniques of blood pressure are based on this principle, ...
Adaptive neuro-controller design based on MLP network
(Universiti Malaysia Perlis (UniMAP), 2010-10-16)
Back Propagation (BP) algorithm is the most
commonly used algorithm for training artificial neural
networks. But, it suffers from extensive computations,
relatively slow convergence speed and possible
divergence for ...
Calculation of blast area for acute leukemia blood cells images
(Universiti Malaysia Perlis (UniMAP), 2010-10-16)
Image processing technique consists of five basic
components which are image acquisition, image
preprocessing, image segmentation, and image postprocessing
and image analysis. One of the common
image processing techniques ...
Measuring of systolic blood pressure based on heart rate
(Springer-Verlag, 2008-06)
In this paper, we describe the method of noninvasive blood pressure (BP) measurement using electrocardiography (ECG) signal to measure arterial blood pressure. Here, we propose a continuous blood pressure monitoring method ...
Model reference adaptive neuro-controller based on HMLP network
(Universiti Malaysia Perlis (UniMAP), 2010-10-16)
In this paper, an Adaptive Neuro-Controller (ANC)
based on HMLP Network is proposed as an alternative to
a conventional adaptive controller. The ANC will be
adapted such that the plant should follow a desired
output, ...
Application of fuzzy c-mean clustering technique for mycobacterium tuberculosis detection in Ziehl-Neelsen stained tissue images
(Universiti Malaysia Perlis (UniMAP), 2010-10-16)
Automatic detection of Mycobacterium tuberculosis
improves accuracy, sensitivity and efficiency of
diagnosis compared to manual method. However, the
process is difficult, especially in Zeihl-Neelsen stained
tissue ...
Online sequential extreme learning machine for classification of Mycobacterium tuberculosis in Ziehl-Neelsen stained tissue
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
The application of image processing and artificial
intelligence for computer-aided tuberculosis (TB) diagnosis has
received considerable attention over the past several years and
still is an active research area. Several ...
Colour contrast enhancement based on bright and dark stretching for Plasmodium Falciparum in malaria slide image
(Universiti Malaysia Perlis (UniMAP), 2010-10-16)
Malaria is a widely prevalent disease effecting millions of people in various parts of the world. Malaria is caused by four species of Plasmodium which infect both humans and animals; Plasmodium Malariae, Plasmodium Vivax, ...
Model reference adaptive neuro-controller with on-line parameter estimation
(Universiti Malaysia Perlis (UniMAP), 2010-10-16)
In this paper, a Model Reference Adaptive Neuro-
Controller is developed, in which the error between the
outputs of the plant and the reference model is used to
adapt the controller parameters. The Model Reference
Adaptive ...
Improving blast segmentation of acute myelogenous leukaemia (AML) images using bright stretching technique
(Universiti Malaysia Perlis (UniMAP), 2010-10-16)
Contrast enhancement and image segmentation techniques have fast becoming popular for computer vision and image processing area in the last few decades. In this paper, the combination between contrast enhancement and ...