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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 ...
A review on development of neural network system for gait analysis
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)
This paper presents the application of Neural Network (NN) system for classification of human gait analysis. This NN will classify the human gait either normal or abnormal. This NN will use Multilayer Perceptron (MLP) ...
Synchronous brain machine interface design using focused time delay networks
(Universiti Malaysia Perlis (UniMAP), 2012-02-27)
Focused time delay neural network based design for a
four-state Brain Machine Interface (BMI) to drive a wheelchair is
analyzed. Motor imagery signals recorded noninvasively using two
bipolar electrodes are used in 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 ...
A chaotic neural network based encryption algorithm for MPEG-2 encoded video signal
(Universiti Malaysia Perlis (UniMAP), 2012-02-27)
In this paper, a cipher system based on Chaotic Neural Network (CNN) is used to encrypt and construct a stream
cipher of compressed MPEG-2 video signal. The symmetric CNN cipher algorithm transforms the plaintext
(compressed ...
Malaysian license plate recognition system
(Universiti Malaysia Perlis (UniMAP), 2012-02-27)
The growth of technology requested higher
performance tools in order to fulfill human needs and market.
This system is implemented to make human work easier
besides can reduce the usage of human power and because of
its ...
Classification of EEG colour imagination tasks based BMI using energy and entropy features
(Universiti Malaysia Perlis (UniMAP), 2012-02-27)
Electroencephalogram (EEG) signals are the
electrophysiological measures of brain function and it is used to
develop a brain machine interface. Brain machine interface
(BMI) system is used to provide a communication and ...
Internal model control for InnoSAT attitude control
(IEEE Conference Publications, 2011)
This paper presents the results of Internal Model Control (IMC) for InnoSAT attitude control based on Neural Network (NN). IMC is composed of an inverse model connected in series with the plant and a forward model connected ...
Speaker accent recognition through statistical descriptors of Mel-bands spectral energy and neural network model
(IEEE Conference Publications, 2012-10)
Accent recognition is one of the most important topics in automatic speaker and speaker-independent speech recognition (SI-ASR) systems in recent years. The growth of voice-controlled technologies has becoming part of our ...
Brain machine interface for physically retarded people using colour visual tasks
(IEEE Conference Publications, 2010-05)
A Brain Machine Interface is a communication system which connects the human brain activity to an external device bypassing the peripheral nervous system and muscular system. It provides a communication channel for the ...