Browsing Mohd Yusoff Mashor, Prof. Dr. by Title
Now showing items 5-24 of 85
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Adaptive neuro-controller based on IMAC scheme for InnoSAT control
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)In this paper, an Adaptive Neuro-Controller (ANC) based on Internal Model Adaptive Control (IMAC) scheme is developed to adjust the control parameters for the InnoSAT attitude. Controller architecture, which is combination ... -
Adaptive neuro-controller design based on MLP network
(Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 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 ... -
Adaptive Neuro-Controller for three axes attitude control of innovative satellite
(Science Academy, 2011-03)There exists so many disturbance torques in space which may deviate the satellite from the desired attitude. To overcome the effects of the disturbance torques some stabilization has to be provided to the satellite. This ... -
Adaptive Neuro-Controller for three-axes attitude control of innovative satellite
(Science Academy Publisher, 2011-03)There exists so many disturbance torques in space which may deviate the satellite from the desired attitude. To overcome the effects of the disturbance torques some stabilization has to be provided to the satellite. This ... -
Application of fuzzy c-mean clustering technique for mycobacterium tuberculosis detection in Ziehl-Neelsen stained tissue images
(Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 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 ... -
Application On Wireless Power Transmission for Biomedical Implantable Organ
(School of Mechatronic Engineering, 2008-01-09)The tranceiver will electromagnetically transfer power to the sensor component via inductive coupling. The signal then used to supply the sensor a power. It can be implemented for passive telemetry sensor. -
An automated cervical pre-cancerous diagnostic system
(Elsevier B.V., 2008-01)Objective: This paper proposes to develop an automated diagnostic system for cervical pre-cancerous. Methods and data samples: The proposed automated diagnostic system consists of two parts; an automatic feature extraction ... -
An Automated Intelligent Identification and Counting System Procedure for Tuberculosis
(IOP Publishing, 2019)Tuberculosis (TB) is an infectious disease caused by Mycobacterium Tuberculosis or TB Bacilli. Currently, the classification of TB bacilli is carried out by microbiologist by using Ziehl-Nielsen (ZN) stained smear sputum ... -
An Automated Segmentation and Counting of Ki67 Cells in Meningioma Using K-Means Clustering Technique
(IOP Publishing, 2019)Meningioma is a type of primary brain tumours. The meningiomas account for about one-third of all primary brain tumours. Image segmentation plays an important role in image analysis, especially detecting the tumours or ... -
Automatic glass-slide capturing system for cervical cancer pre-screening program
(Science Publications, 2008)Clinical glass-slide capturing system is becoming an important part of telemedicine, medical database and diagnostic system that involves of microscope and image acquisition device which is digital camera. One of the areas ... -
A BI-RADS based expert systems for the diagnoses of breast diseases
(Science Publications, 2007)We proposed an expert system based on the interpretation of mammographic and ultrasound images that may be used by expert and non-expert doctors in the interpretation and classifying of patient cases. The expert system ... -
Bio e-Nose for Virgin Coconut Oil (VCO) Standardization
(Malaysian Invention and Design Society (MINDS), 2006)To establish Bio e-Nose as a tool to standardize and quality control of VCO. -
Blood cell image segmentation: a review
(Springer-Verlag, 2008-06)Image processing technique involved five basic components which are image acquisition, image preprocessing, image segmentation, image post-processing and image analysis. The most critical step in image processing is the ... -
Bone marrow image segmentation based on multilevel thresholding
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)This paper represents an approach of image segmentation on microscopic bone marrow images by using multilevel tresholding technique. This technique has been applied into two types of images which is normal bone marrow ... -
Calculation of blast area for acute leukemia blood cells images
(Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 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 ... -
Classification of Acute Leukemia Based on Multilayer Perceptron
(IOP Publishing, 2019)In general, various artificial neural network have been applied in many areas such as modelling, pattern recognition, signal processing, diagnostic and prognostic. In this paper, artificial neural network are used to detect ... -
Classification of acute leukemia sub-types using artificial neural network
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)This paper presents a study on sub-types classification of acute leukemia using artificial neural networks. Thirteen morphologival features have been extracted from acute leukemia cells and used as the neural network inputs ... -
Classification of blasts in acute leukemia blood samples using k-nearest neighbour
(Institute of Electrical and Electronics Engineers (IEEE), 2012-03-23)The k-nearest neighbor (k-NN) is a traditional method and one of the simplest methods for classification problems. Even so, results obtained through k-NN had been promising in many different fields. Therefore, this paper ... -
Classification of heart sound based on S-Transform and neural network
(Institute of Electrical and Electronics Engineers (IEEE), 2010-05-10)The skill of cardiac auscultatory is very important to physicians for accurate diagnosis of many heart diseases. However, it needs some training and experience to improve the skills of medical students in recognizing and ... -
Classification of heart sounds using wavelets and neural networks
(Institute of Electrical and Electronics Engineering (IEEE), 2008)A heart sound feature extraction and classification method has been developed. It used the discrete wavelet decomposition and reconstruction to produce the envelopes of details of the signals for further extracting the ...