Now showing items 58-77 of 85

    • Measuring blood pressure using a photoplethysmography approach 

      Muhamad Khairul, Ali Hassan; Mohd Yusoff, Mashor, Prof. Dr.; Nashrul Fazli, Mohd Nasir, Dr.; Shakir H., Mohamed (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, ...
    • Measuring of systolic blood pressure based on heart rate 

      Muhamad Khairul, Ali Hassan; Mohd Yusoff, Mashor, Prof. Dr.; Nashrul Fazli, Mohd Nasir, Dr.; Shakir H., Mohamed (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 ...
    • Mitotic Cell Detection in Breast Histopathology Image: a review 

      Tan Xiao, Jian; Nazahah, Mustafa; Mohd Yusoff, Mashor; Khairul Shakir, Ab Rahman (IOP Publishing, 2019)
      Mitotic assessment is one of the critical features in the Nottingham Histological Grading (NHG) system for breast cancer grading. In recent years, rapid development in the performance of mounted camera, computer processing ...
    • Model reference adaptive control based on MLP network for dynamic system 

      Norhayati, Mohd Noor; Mohd Yusoff, Mashor; Siti Maryam, Sharun; Wan Nur Hadani; Soh, Waren (Universiti Malaysia Perlis (UniMAP)Institut Matematik Kejuruteraan, 2010-06-02)
      This paper presents the Model Reference Adaptive Control based on Multi Layered Perceptron (MLP) Network. The error between the output of the plant and the reference model is used to adapt the controller parameters. The ...
    • Model reference adaptive control with adaptive parametric black box controller 

      Nasim, Ahmed; Mohd Yusoff, Mashor, Prof. Dr.; Abdul Hamid, Adom, Prof. Madya Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2008-12-01)
      In this paper,a method for adapting conventional controller are used to adapt an Adaptive Parametric Black Box Controller (APBB). The APBB controller will be adapted such that the plant should follow a desired trajectory ...
    • Model reference adaptive neuro-controller based on HMLP network 

      Siti Maryam, Sharun; Mohd Yusoff, Mashor, Prof. Dr.; Norhayati, Mohd Nazid; Sazali, Yaacob, Prof. Dr. (Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 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, ...
    • Model reference adaptive neuro-controller with on-line parameter estimation 

      Siti Maryam, Sharun; Mohd Yusoff, Mashor, Prof. Dr.; Norhayati, Mohd Noor; Wan Nurhadani; Sazali, Yaacob, Prof. Dr.; Muhyi, Yaakob (Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 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 ...
    • 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 ...
    • 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 ...
    • Modified median filter for noise reduction in Ziehl-Neelsen sputum slide images 

      Rafikha Aliana, A. Raof; R. Badlishah, Ahmad, Prof. Madya Dr.; Mohd Yusoff, Mashor, Prof. Dr.; Siti Suraiya, Mohd Noor, Dr. (Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)
      Image filtering is an important approach in the area of digital image processing for noise reduction. The time cost and output image quality in the filtering system are two convention measures in selecting the appropriate ...
    • The NARMAX Model for a DC Motor using MLP Neural Network 

      Norasmadi, Abdul Rahim; Mohd Nasir, Taib; Abdul Hamid, Adom, Prof. Dr.; Mohd Yusof, Mashor, Prof. Dr. (Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM)School of Mechatronic Engineering, 2006-09-15)
      The approach to the design of direct current (DC) motor varies considerably using advanced methods such asartificial intelligence (AI). However, accuracy issuescannot be totally achieved using conventional methods.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 ...
    • 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 ...
    • An overview of acute leukemia: Blood cell segmentation and classification 

      Lim, Huey Nee; Mohd Yusoff, Mashor, Prof. Dr.; Rosline, Hassan (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      Morphological evaluation and classification of peripheral blood and bone marrow samples is one of the standard diagnostic procedures for acute leukemia. The morphological diagnosis involves manually distinguishing cells ...
    • An overview of analysis on ECG signal for heart disease 

      Shazwani, Shufni; Mohd Yusoff, Mashor, Prof. Madya Dr.; Mohd Shaiful Aziz, Rashid Ali (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      The heart is the most important organ in the human body. The malfunctioning of the heart itself can be fatal to one’s life. The heart is built up from a myogenic muscular organ consist of a circulatory system which is ...
    • 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 ...
    • Performance comparison between RGB and HSI linear stretching for tuberculosis bacilli detection in ziehl-neelsen tissue slide images 

      Osman, M. K.; Mohd Yusoff, Mashor, Prof Madya Dr.; Jaafar, H.; Rafikha Aliana, A. Raof; Nor Hazlyna, Harun (Institut of Electrical and Electronics Engineering (IEEE), 2009-11-18)
      Ziehl-Neelsen staining method is commonly used for diagnosis of tuberculosis patients. Sputum or tissues samples are stained using this method before microscopic examination. However, manual screening is time consuming and ...
    • Performance comparison of clustering and thresholding algorithms for tuberculosis bacilli segmentation. 

      Mohammad Khusairi, Osman; Mohd Yusoff, Mashor, Prof. Dr.; Hasnan, Jaafar (Institute of Electrical and Electronics Engineers (IEEE), 2012-05-14)
      Image segmentation is a key step in most medical image analysis. However, the process is particularly difficult due to limitation of the imaging equipments and variation in biological system. Therefore, accurate and robust ...
    • 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 ...
    • 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 ...