This page provides access to research works by Prof. Dr. Mohd Yusoff Mashor, currently a Professor of School of Mechatronic Engineering, Universiti Malaysia Perlis (UniMAP).

Recent Submissions

  • 3D object recognition using 2D moments and HMLP network 

    Mohd Yusoff, Mashor, Prof. Dr.; Muhammad Khusairi, Osman; Mohd Rizal, Arshad (IEEE Conference Publications, 2004-07)
    This paper proposes a method for recognition and classification of 3D objects using 2D moments and HMLP network. The 2D moments are calculated based on 2D intensity images taken from multiple cameras that have been arranged ...
  • 3D object recognition system using multiple views and cascaded multilayered perceptron network 

    Muhammad Khusairi, Osman; Mohd Yusoff, Mashor, Prof. Dr.; Mohd Rizal, Arshad (IEEE Conference Publications, 2004-12)
    This paper proposes an effective method for recognition and classification of 3D objects using multiple views technique and neural networks system. In the processing stage, we propose to use 2D moment invariants as the ...
  • 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, ...
  • Blood cell image segmentation: a review 

    Robiyanti, Adollah; Mohd Yusoff, Mashor, Prof. Dr.; Nashrul Fazli, Mohd Nasir, Dr.; Rosline, Hassan; Hakimah, Mahsin; H., Adilah (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 ...
  • 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 ...
  • Image enhancement techniques using local, global, bright, dark and partial contrast stretching for acute leukemia images 

    N.R.Mokhtar; Nor Hazlyna, Harun; Mohd Yusoff, Mashor, Prof. Dr.; H.Roseline; Nazahah, Mustafa; R., Adollah; H., Adilah; Nashrul Fazli, Mohd Nasir, Dr. (International Association of Engineers, 2009-07)
    Leukaemia is a malignant disease (cancer) that affects people in any age either they are children or adults over 50 years old. Nowadays, there are screening system guidelines for leukaemia patients. The screening result ...
  • Colour image segmentation approach for detection of malaria parasites using various colour models and k-means clustering 

    Aimi Salihah, Abdul-Nasir; Yusoff, Mashor, Prof. Dr.; Zeehaida, Mohamed, Dr. (World Scientific and Engineering Academy and Society (WSEAS), 2013-01)
    Malaria is a serious global health problem that is responsible for nearly one million deaths each year. With the large number of cases diagnosed over the year, rapid detection and accurate diagnosis of malaria infection ...
  • 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 ...
  • Classification of acute leukemia sub-types using artificial neural network 

    Lim, Chee Chin; Elsie Usun, Francis; Mohd Yusoff, Mashor, Prof. Dr.; Roseline, Hassan, Dr. (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 ...
  • 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 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 ...
  • Adaptive neuro-controller based on IMAC scheme for InnoSAT control 

    Norhayati, M. N.; Mohd Yusoff, Mashor, Prof. Dr.; Siti Maryam, Sharun; Azian Azamimi, Abdullah; Wan Nur Hadani (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 ...
  • Development of attitude control simulator for InnoSAT satellite system 

    Siti Maryam, Sharun; Mohd Yusoff, Mashor, Dr.; Sazali, Yaacob, Prof. Dr.; Zul Azfar, Ahmam; N. Hamzah (Universiti Malaysia Perlis (UniMAP), 2012-05-18)
    The current study proposes a novel approach for satellite attitude control simulator design where the simulator consists of both software and hardware. A software simulator will represent the satellite dynamic model, ...
  • Injected fuel flow forecasting with Online Sequential Extreme Learning Machine 

    Zuraidi, Saad; Muhammad Khusairi, Osman; Mohd Yusoff, Mashor, Prof. Dr. (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
    This study deals with Online Sequential Extreme Learning Machine (OS-ELM) modeling of a gasoline engine to predict the injected fuel flow of the engine. The single hidden layer feedforward networks (SLFN) trained by ...
  • Comparison for partial and dark contrast stretching on abnormal bone marrow slide images for leukemia screening 

    Elsie Usun, Francis; Mohd Yusoff, Mashor, Prof. Dr.; Azian Azamimi, Abdullah; Roseline, Hassan, Dr. (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
    Image enhancement is often carried out on medical images to improve the quality of the images for further analysis that needs to be done afterwards. It is the most fundamental digital image processing approach done on ...
  • 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 ...
  • Colour image segmentation of malaria parasites in thin blood smears using C-Y colour model and K-Means clustering 

    A.S., Abdul Nasir; Mohd Yusoff, Mashor, Prof. Dr.; Zeehaida, Mohamed, Dr. (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
    Malaria is a life threatening disease that is responsible for nearly one million deaths each year. With the large number of cases diagnosed over the year, rapid detection and accurate diagnosis which facilitates prompt ...
  • Detection of mycobacterium tuberculosis in tissue using k-Nearest neighbour and fuzzy k-Nearest neighbour classifiers 

    Muhammad Khusairi, Osman; Mohd Yusoff, Mashor, Prof. Dr.; Hasnan, Jaafar (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
    Early detection and treatment are the most promising way to increase a patient's chance of survival from TB disease, reduce the duration and cost of treatment, and prevent the disease from spreading. Currently, microscopic ...
  • Image enhancement technique for bone marrow 

    Nurul Hazwani, Abd. Halim; Mohd Yusoff, Mashor, Prof. Dr.; H., Rosline (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
    This paper presents a study on image enhancement technique for improving the features of blasts in acute leukemia bone marrow samples. The morphological features in bone marrow images could be improved if poor contrast ...
  • Combination of local and dark stretching for Ziehl-Neelsen TB bacilli slide images in tissue and sputum samples 

    Nurul Wahidah, M. F.; Norsima Nazirah, Sidek; Mohd Yusoff, Mashor, Prof. Dr.; Md Noor, S. S. (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
    Tuberculosis is an infectious and dangerous disease which can spread through the air when the infected person coughed, sneezed or spited. Sputum and tissue sample analysis is a common method for extra-pulmonary and pulmonary ...

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