Now showing items 41-60 of 85

    • Segmentation of heart sound signal into cycles based on time properties of the heart sound 

      Mohd Zubir, Suboh; Mohd Yusoff, Mashor, Prof. Dr.; H. M., Hadi; A. R., Mohd Saad; M. S., Mohamed; B. T., Khor (Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)
      A simple alternative method to segment the heart sound signal into cycles is proposed in this paper. The segmentation is done based on the time properties of the heart sound signal only, without the assistant of other ...
    • Unsupervised colour segmentation of white blood cell for acute leukaemia images 

      A. S., Abdul Nasir; Mohd Yusoff, Mashor, Prof. Dr.; H., Rosline (Institute of Electrical and Electronics Engineers (IEEE), 2011)
      Colour image segmentation has becoming more popular for computer vision due to its important process in most medical analysis tasks. One of the main tasks is the segmentation of white blood cell (WBC) where the WBC composition ...
    • Detection of acute leukaemia cells using variety of features and neural networks 

      A. S., Abdul Nasir; Mohd Yusoff, Mashor, Prof. Dr.; H., Rosline (Springer-Verlag., 2011)
      This paper presents the application of features combination and Multilayer Perceptron (MLP) neural network for classification of individual white blood cells (WBC) inside the normal and acute leukaemia blood samples. The ...
    • Adaptive Neuro-Controller for three-axes attitude control of innovative satellite 

      Siti Maryam, Sharun; Mohd Yusoff, Mashor, Prof. Dr.; M. N. Norhayati; W. N. Hadani; Sazali, Yaacob, Prof. Dr. (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 ...
    • Adaptive Neuro-Controller for three axes attitude control of innovative satellite 

      Siti Maryam Sharun; Mohd Yusof Mashor, Prof. Dr.; M. N. Norhayati; W. N. Hadani; Sazali Yaacob, Prof. Dr. (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 ...
    • Nucleus segmentation technique for acute leukemia 

      Nurul Hazwani, Abd. Halim,; Mohd Yusof, Mashor, Prof. Dr.; A. S., Abdul Nasir; N. R., Mokhtar; H., Rosline (Institute of Electrical and Electronics Engineers (IEEE), 2011-03-04)
      Leukemia is a disease that affects blood forming cells in the body. Early detection of the disease is necessary for proper treatment management. Abnormal white blood cells or blasts play important role for hematologists ...
    • Modeling and forecasting of injected fuel flow using neural network 

      Z., Saad; M. K., Osman; S., Omar; Mohd Yusoff, Mashor, Prof. Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2011-03-04)
      The aim of this research is to develop an intelligent automated online forecasting of a car fuel consumption using neural network and classified it into classes of driving style. A new online monitoring tool was developed ...
    • Image enhancement and segmentation using dark stretching technique for Plasmodium Falciparum for thick blood smear 

      N. S. M. M., Hanif; Mohd Yusof, Mashor, Prof. Dr.; Zeehaida, Mohamed, Dr. (The Institute of Electrical and Electronics Engineers (IEEE), 2011-03-04)
      This paper present the results of applying dark stretching technique to enhance and segment the Plasmodium Falciparum based on thick blood smear images. Image enhancement is the process to improve the quality (clarity) of ...
    • Tuberculosis bacilli detection in Ziehl-Neelsen-stained tissue using affine moment invariants and extreme learning machine 

      Muhammad Khusairi, Osman; Mohd Yusof, Mashor, Prof. Dr.; Hasnan, Jaafar, Assoc. Prof. Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2011-03-04)
      This paper describes an approach to automate the detection and classification of tuberculosis (TB) bacilli in tissue section using image processing technique and feedforward neural network trained by Extreme Learning ...
    • Cluster approach for auto segmentation of blast in acute leukimia blood slide images 

      N. H., Harun; Mohd Yusoff, Mashor, Prof. Dr.; H., Rosline (Springer-Verlag, 2011-06-20)
      Image segmentation is an essential step in image analysis and is a requirement for feature extraction. One of the common segmentation techniques is using clustering algorithms. Currently, clustering algorithm has been used ...
    • Modified global and modified linear contrast stretching algorithms: New colour contrast enhancement techniques for microscopic analysis of malaria slide images 

      Aimi Salihah, Abdul-Nasir; Mohd Yusoff, Mashor, Prof. Dr.; Zeehaida, Mohamed, Dr. (Hindawi Publishing Corporation, 2012)
      Malaria is one of the serious global health problem, causing widespread sufferings and deaths in various parts of the world. With the large number of cases diagnosed over the year, early detection and accurate diagnosis ...
    • Enhancement techniques for tuberculosis slide images: A review 

      Nurul Wahidah, M. F.; Mohd Yusoff, Mashor, Prof. Madya. Dr.; Siti Salwa, Md Noor (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      Tuberculosis (TB) is a very hazardous disease caused by infection of germ Mycobacterium tuberculosis that can cause death to the patient. TB can spread like common flu such as through air or direct body fluid connection. ...
    • An overview of thalassaemia disease 

      Nurul Zhafikha, Noor Rashid; Mohd Yusoff, Mashor, Prof. Madya. Dr.; Rosline, Hassan, Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      Cooley’s anemia, Mediterranean anemia and thalassaemia major, all refer to a severe, inherited form of anemia first described in 1925 by Dr. Thomas Benton Cooley, an American Pediatrician. There are two types of ...
    • Online sequential extreme learning machine for classification of Mycobacterium tuberculosis in Ziehl-Neelsen stained tissue 

      Muhammad Khusairi, Osman; Mohd Yusoff, Mashor, Prof. Dr.; Hasnan, Jaafar, Assoc. Prof. Dr. (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 ...
    • Review article a perspective of Myelodysplastic Syndrome (MDS) 

      Norsima Nazirah, Sidek; Mohd Yusoff, Mashor, Prof. Madya. Dr.; Rosline, Hassan, Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      The Myelodysplastic Syndrome (MDS) includes a diverse group of clonal and potentially malignant bone marrow disorders characterized by ineffective and inadequate hematopoiesis [1]. Classically, French-American-British ...
    • Bone marrow image segmentation based on multilevel thresholding 

      Robiyanti, Adollah; Elsie Usun, Francis; Mohd Yusoff, Mashor, Prof. Dr.; Nor Hazlyna, Harun (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 ...
    • White blood cell segmentation for acute leukemia bone marrow images 

      Lim, Huey Nee; Mohd Yusoff, Mashor, Prof. Madya. Dr.; Rosline, Hassan, Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      Morphological diagnosis of the blood and bone marrow smear under the microscope is an important preliminary step in the diagnosis of acute leukemia. The features and differential counts of the cells provide valuable ...
    • A simple adaptive fuzzy logic controller base on shifting of the membership function 

      Fatimatul Anis, Bakri; Mohd Yusoff, Mashor, Prof. Dr.; Siti Maryam, Sharun; Norhayati, M. N.; Supardi, N. Z.; Zuraidi, Saad (Institute of Electrical and Electronics Engineers (IEEE), 2012-03-23)
      This paper introduces an Adaptive Fuzzy Logic Control (AFLC) for dynamic system. The parameters to be adjusted are the universe of discourse (UOD). The modification also performed by the adaptation mechanism shifts the ...
    • Classification of blasts in acute leukemia blood samples using k-nearest neighbour 

      Nadiatun Zawiyah, Supardi; Mohd Yusoff, Mashor, Prof. Madya Dr.; Nor Hazlyna, Harun; Fatimatul Anis, Bakri; Rosline, Hassan, Dr. (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 ...
    • Detection of tuberculosis bacilli in tissue slide images using HMLP network trained by Extreme Learning Machine 

      Muhammad Khusairi, Osman; Mohd Yusoff, Mashor, Prof. Dr.; Hasnan, Jaafar, Prof. (Kauno Technologijos Universitetas, 2012-04)
      This paper proposes an automated detection of tuberculosis bacilli in Ziehl-Neelsen-stained tissue slides using image processing and neural network. Image segmentation using CY-based colour filter and k-mean clustering ...