Browsing by Subject "Classification"
Now showing items 1-20 of 20
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Automated system for stress evaluation based on EEG signal: A prospective review
(Institute of Electrical and Electronics Engineers (IEEE), 2011-03-04)This paper reviews the issues related to the automated system for stress evaluation based on brain signal. It describes the current status of mental health especially in Malaysia. The anatomy of stress is briefly discussed ... -
Classification of acute leukaemia cells using multilayer perceptron and simplified fuzzy ARTMAP neural networks
(Zarqa University, Jordan, 2013-07)Leukaemia is a cancer of blood that causes more death than any other cancers among children and young adults under the age of 20. This disease can be cured if it is detected and treated at the early stage. Based on this ... -
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 valve diseases using correlation analysis
(Institute of Electrical and Electronics Engineering (IEEE), 2008-11-12)As a subjective and qualitative method, heart sound auscultation has it's inherit limitations. In this paper, we present an analytical perspective on heart sound auscultation and explain how to classify heart diseases using ... -
Classification of Perlis river based on water quality index
(Universiti Malaysia Perlis (UniMAP), 2014-06)Water is one of the important sources for all living beings on earth. However, rapid development in our country has a balance of environmental damage resulting in water pollution. This study focused on the analysis of water ... -
Detection of acute leukaemia cells using variety of features and neural networks
(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 ... -
Detection of tubercle bacilli in Ziehl-Neelsen stained sputum slide images using Hu’s moment and HMLP network
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)Manual screening by light microscopy is the most widely used method for tubercle bacilli detection in the developing country. However, it is a time consuming and labour-intensive process. In this paper, a method using image ... -
Feature extraction for biometric recognition with photoplethysmography signals
(IEEE Conference Publications, 2013-04)Photoplethysmography (PPG) signals stand out due to features such as readily accessible, high reliability and confidentiality, the ease of use etc. among bio-signals. The feasibility studies carried out on the PPG signals ... -
High dimensional microarray data classification using correlation based feature selection
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)Analyzing DNA microarray data pose a serious challenge because of their large number of features (genes) and relatively small number of samples. Extracting features, those have predictive capability for classifying these ... -
A hybrid expert system approach for telemonitoring of vocal fold pathology
(Elsevier B.V., 2013)Acoustical parameters extracted from the recorded voice samples are actively pursued for accurate detection of vocal fold pathology. Most of the system for detection of vocal fold pathology uses high quality voice samples. ... -
Infant cry classification: time frequency analysis
(IEEE Conference Publications, 2013-11)Acoustic analysis of infant cry has been the subject of a number of researchers since half decades ago. This paper addresses a simple time-frequency analysis based signal processing technique using short-time Fourier ... -
Issues on the application of classification methods in Engineering
(Universiti Malaysia Perlis (UniMAP)Institut Matematik Kejuruteraan, 2010-06-02)Classification methods have received remarkable demand from various engineering fields for solving pattern recognition problems. Various statistical classification methods ranging from parametric, semi-parametric and ... -
A kemelized Probabilistic Neural network approach for counting pedestrians
(Institute of Electrical and Electronics Engineering (IEEE), 2009-07-05)An improved, intelligent pedestrian counting system, using images obtained from a single video camera, is described in this paper. This system is capable of detecting and counting a group of pedestrians in the region of ... -
A new hybrid intelligent system for accurate detection of Parkinson's disease
(Elsevier, 2014-03)Elderly people are commonly affected by Parkinson's disease (PD) which is one of the most common neurodegenerative disorders due to the loss of dopamine-producing brain cells. People with PD's (PWP) may have difficulty in ... -
An overview of acute leukemia: Blood cell segmentation and classification
(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 ... -
Personalized human emotion classification using genetic algorithm
(Institute of Electrical and Elctronics Engineering (IEEE), 2009-07-05)In this paper, lip and eye features are applied to classify the human emotion through a set of irregular and regular ellipse fitting equations using Genetic algorithm (GA). South East Asian face is considered in this study. ... -
A Preliminary study on feasibility radar cross-section of foreign object debris for size classification
(Universiti Malaysia Perlis (UniMAP), 2021-12)In this paper, a preliminary evaluation study is conducted, which aiming to investigate the radar cross-section (RCS) value that is capable to be used as an input parameter for Artificial Neural network (ANN) backpropagation ... -
Probabilistic neural network based olfactory classification for household burning in early fire detection application
(IEEE, 2013-12)Determination of burning smell is important because it can help in early fire detection and prevention. In this paper, a household burning smell classification system for early fire detection application has been proposed ... -
Review article a perspective of Myelodysplastic Syndrome (MDS)
(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 ... -
Rice yield classification using Backpropagation Network
(Penerbit Universiti Utara MalaysiaFakulti Teknologi Maklumat, 2004)Among factors that affect rice yield area are diseases, pests and weeds. It is intractable to model the correlation between plant diseases, pests and weeds on the amount of rice yield statistically and mathematically. In ...