Yee Yong Pang

Yee Yong Pang
Universiti Teknologi Malaysia | UTM · Department of Software Engineering

Doctor of Philosophy
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About

13
Publications
1,003
Reads
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44
Citations
Citations since 2017
8 Research Items
31 Citations
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Introduction
Pang Yee Yong is a Senior Lecturer at the School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia. He received his Bachelor Degree in Computer Science and Ph.D Degree from Universiti Teknologi Malaysia, in 2009 and 2016 respectively. His main research interests include machine learning, image processing, computer vision, and human-computer interaction.
Additional affiliations
December 2021 - present
Universiti Teknologi Malaysia
Position
  • Senior Lecturer

Publications

Publications (13)
Conference Paper
To safeguard the residents in current residential areas, it is common to hire security guards and surround them with walls or fences.
Article
Full-text available
One of the most challenging parts of integrating biometrics and cryptography is the intra variation in acquired identifiers between the same users. Due to noise in the environment or different devices, features of the iris may differ when it is acquired at different time periods. This research focuses on improving the performance of iris biometric...
Article
Full-text available
University timetabling construction is a complicated task that is encountered by universities in the world. In this study, a hybrid approach has been developed to produce timetable solution for the university examination timetabling problem. Black Hole Algorithm (BHA), a population-based approach that mimics the black hole phenomenon has been intro...
Conference Paper
Personal Health Assistant (PHA) is specially developed for kidney disease patients. This system has two platforms which are smartphone and webpage. Smart phone is designed for member, whereas webpage is designed for administrator to control the system. The main goal of this application is to save the time of the patient by automating the calculatio...
Article
Full-text available
The evolve of neural networks algorithm into deep learning convolutional neural networks seems like the next generation for object detection. This algorithm works has a significantly better accuracy and did not tied to any particular aspect ratio. License plate and traffic signs detection and recognition have a number of different applications rele...
Article
To meet the challenges of ubiquitous computing and an increasingly map usage population; researchers have been trying to break away from the traditional modes of interaction. Over the past decade years, researches in this domain suggest that Multimodal User Interfaces (MUI) now provide maturity and affordable opportunities, which may be appropriate...
Article
Full-text available
Human trends to use hand gesture in communication. The development of ubiquitous computer causes the possibility of human to interact with computer natural and intuitive. Â In human-computer interaction, emerge of hand gesture interaction fusion with other input modality greatly increase the effectiveness in multimodal interaction performance. It i...
Article
Full-text available
With the rapid development of computer technology, computer music has begun to appear in the laboratory. Many potential utility of computer music is gradually increasing. The purpose of this paper is attempted to analyze the possibility of integrating multimodal interaction such as vision-based hand gesture and speech interaction into musical condu...
Article
Full-text available
Moving beyond mouse and keyboard, the evolution of human-computer interaction (HCI) has been an interest research in recent years which witnessed the development from text-based like using a keyboard to graphic user interface (GUI) based on a mouse, from cumbersome data gloves and tracking devices to visual-based computer application. One of the in...

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