Search
Now showing items 111-117 of 117
Application of feedforward neural network for the classification of pathological voices
(Universiti Teknologi MARA (UiTM), 2007-03-09)
This paper present the application of feed forward neural network for the classification of pathological voices based on the on the acoustic analysis and EGG features. Acoustic analysis is a non-invasive technique based ...
Diagnosis of voice disorders using band energy spectrum in wavelet domain
(Universiti Malaysia Perlis (UniMAP), 2008-03-08)
In the evolution of quality of speech, acoustic analyses of normal and pathological voices have become increasingly interesting to researchers in laryngology and speech pathologies. Vocal signal information plays an important ...
Diagnosis of voices disorders using MEL scaled WPT and functional link neural network
(Biomedical Fuzzy Systems Association (BMFSA), 2008-03-31)
Nowadays voice disorders are increasing dramatically due to the modern way of life. Most of
the voice disorders cause changes in the voice signal. Acoustic analysis on the speech signal could be a
useful tool for ...
Personalized face emotion classification using optimized data of three features
(Institute of Electrical and Electronics Engineering (IEEE), 2007)
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. ...
Motorbike engine faults diagnosing system using Entropy and Functional Link Neural Network in wavelet domain
(Universiti Malaysia Perlis, 2009-10-11)
The sound of working vehicle provides an important clue for engine faults diagnosis. Endless efforts have been put into the research of fault diagnosis based on sound. It offers concrete economic benefits, which can lead ...
Multiple objects detection using Separability Filter and Circular Hough Transform
(Kolej Universiti Kejuruteraan Utara Malaysia, 2006-06-15)
In this paper we propose a new system to detect the object from an input image. The proposed system first uses the separability filter proposed by Fukui and Yamaguchi to obtain the best object candidates and second, the ...
Artificial intelligence techniques in IC chip marking
(Kolej Universiti Kejuruteraan Utara Malaysia, 2005)
In this paper, an industrial machine vision system incorporating Optical Character Recognition (OCR) is employed to inspect the marking on the Integrated Circuit (IC) Chips. This inspection is carried out while the ICs are ...