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419 results on '"Lai, Weng Kin"'

2. An Improved NSGA-II for UAV Path Planning

Author

Tan, Wei Hang, Lai, Weng Kin, Chen, Pak Hen, Tay, Lee Choo, Lee, Sheng Siang, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Luo, Biao, editor, Cheng, Long, editor, Wu, Zheng-Guang, editor, Li, Hongyi, editor, and Li, Chaojie, editor

Published
2024
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4. Wiper Arm Recognition Using YOLOv4

Author

Ling, Hua Jian, Goh, Kam Meng, Lai, Weng Kin, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Mantoro, Teddy, editor, Lee, Minho, editor, Ayu, Media Anugerah, editor, Wong, Kok Wai, editor, and Hidayanto, Achmad Nizar, editor

Published
2021
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5. Artificial Honey Bee Swarm Intelligence for the Autograding of EBN

Author

Lai, Weng Kin, Gan, Jack En, Koh, Pui Mun, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Liu, Yong, editor, Wang, Lipo, editor, Zhao, Liang, editor, and Yu, Zhengtao, editor

Published
2020
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12. An investigation into predictive modelling of Malaysian stock prices using an optimum feature set.

Author

Chia, Qin Feng, Seera, Manjeevan, Lim, Li Li, and Lai, Weng Kin

Subjects
STOCK prices, INVESTMENT advisors, PREDICTION models, INDIVIDUAL retirement accounts, GROSS domestic product
Abstract

The stock market is often seen as a sentiment indicator which can indirectly impact the GDP (gross domestic product) of the nation either negatively or positively. At the personal level, many may have invested their life savings in retirement funds which are managed by professional fund managers. Thus if fund managers performed badly in the stock market, the performance of stock market will indirectly impact the returns of the retirement fund under their care. However, due to the huge amount of data that they are dealing with, it can be very challenging if not humanly impossible to analyze all the data to come up with an accurate model of the performance as well as the potential of the stocks. Artificial intelligence can help improve the effectiveness of fund managers. This can then allow a fund manager to manage multiple funds at a time, which in turn lowers the fund management fees, effectively giving the client a bigger capital return. This paper describes a novel approach of using financial news sentiment and genetic algorithm to predict the performance of Malaysian stock prices. The performance of the final optimized model is also compared with other popular predictive models. [ABSTRACT FROM AUTHOR]

Published
2023
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13. Feature Extraction for the Identification of Two-Class Mechanical Stability Test of Natural Rubber Latex

Author

Lai, Weng Kin, Chan, Kee Sum, Chan, Chee Seng, Goh, Kam Meng, Wong, Jee Keen Raymond, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Liu, Derong, editor, Xie, Shengli, editor, Li, Yuanqing, editor, Zhao, Dongbin, editor, and El-Alfy, El-Sayed M., editor

Published
2017
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14. Classification of Keystroke Patterns for User Identification in a Pressure-Based Typing Biometrics System with Particle Swarm Optimization (PSO)

Author

Lai, Weng Kin, Tan, Beng Ghee, Soo, Ming Siong, Khan, Imran, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Arik, Sabri, editor, Huang, Tingwen, editor, Lai, Weng Kin, editor, and Liu, Qingshan, editor

Published
2015
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16. Improving Neural Network Generalization by Combining Parallel Circuits with Dropout

Author

Phan, Kien Tuong, Maul, Tomas Henrique, Vu, Tuong Thuy, Lai, Weng Kin, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Hirose, Akira, editor, Ozawa, Seiichi, editor, Doya, Kenji, editor, Ikeda, Kazushi, editor, Lee, Minho, editor, and Liu, Derong, editor

Published
2016
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18. Human Posture Recognition with the Stochastic Cognitive RAM Network

Author

Lai, Weng Kin, Khan, Imran M., Coghill, George G., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Huang, Tingwen, editor, Zeng, Zhigang, editor, Li, Chuandong, editor, and Leung, Chi Sing, editor

Published
2012
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19. An Improved Particle Swarm Optimisation for Image Segmentation of Homogeneous Images

Author

Lai, Weng Kin, Khan, Imran M., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Anthony, Patricia, editor, Ishizuka, Mitsuru, editor, and Lukose, Dickson, editor

Published
2012
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21. Investigations into Particle Swarm Optimization for Multi-class Shape Recognition

Author

Ng, Ee Lee, Lim, Mei Kuan, Maul, Tomás, Lai, Weng Kin, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Köppen, Mario, editor, Kasabov, Nikola, editor, and Coghill, George, editor

Published
2009
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22. Use of Circle-Segments as a Data Visualization Technique for Feature Selection in Pattern Classification

Author

Wang, Shir Li, Loy, Chen Change, Lim, Chee Peng, Lai, Weng Kin, Tan, Kay Sin, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Ishikawa, Masumi, editor, Doya, Kenji, editor, Miyamoto, Hiroyuki, editor, and Yamakawa, Takeshi, editor

Published
2008
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25. Dimensionality Reduction of Protein Mass Spectrometry Data Using Random Projection

Author

Loy, Chen Change, Lai, Weng Kin, Lim, Chee Peng, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, King, Irwin, editor, Wang, Jun, editor, Chan, Lai-Wan, editor, and Wang, DeLiang, editor

Published
2006
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26. Investigations into the Use of Supervised Multi-agents for Web Documents Categorization

Author

Ong, Siok Lan, Lai, Weng Kin, Tai, Tracy S. Y., Ooi, Choo Hau, Hoe, Kok Meng, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Pal, Nikhil Ranjan, editor, Kasabov, Nik, editor, Mudi, Rajani K., editor, Pal, Srimanta, editor, and Parui, Swapan Kumar, editor

Published
2004
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28. Weightless Neural Networks for Typing Biometrics Authentication

Author

Yong, Shereen, Lai, Weng Kin, Goghill, George, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Negoita, Mircea Gh., editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2004
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43. Noise invariant partial discharge classification based on convolutional neural network

Author

Chong Wan Xin, Wong Jee Keen Raymond, Hazlee Azil Illias, and Lai Weng Kin

Subjects
business.industry, Computer science, Applied Mathematics, 020208 electrical & electronic engineering, 010401 analytical chemistry, Feature extraction, Pattern recognition, 02 engineering and technology, Condensed Matter Physics, 01 natural sciences, Convolutional neural network, 0104 chemical sciences, Noise, Interference (communication), Pattern recognition (psychology), Classifier (linguistics), Partial discharge, 0202 electrical engineering, electronic engineering, information engineering, Artificial intelligence, Electrical and Electronic Engineering, Transfer of learning, business, Instrumentation
Abstract

Partial discharge (PD) pattern recognition is essential since it can help to identify the nature of the insulation defect. Numerous machine learning models have been utilized for PD classification applications in the past. However, traditional machine learning models rely on manual feature extraction to obtain training data. They are usually trained using clean PD data measured in the laboratory but are expected to work on-site where some degree of interference or noise is expected. When tested using clean PD data, most machine learning models can easily achieve above 90% accuracy. However, when tested using PD data overlapped with noise, classification accuracy reduces significantly. In this work, the development of a convolutional neural network (CNN)-based PD classification system using transfer learning was proposed. In order to achieve a more practical performance evaluation, a modified 10-fold cross-validation procedure was used where the CNN-based PD classifier was trained using clean PD data but tested using PD data that has been overlapped by noise. The results showed that CNN-based PD classifier was able to achieve up to 16.90% higher classification accuracy under noise contamination compared to traditional machine learning with manual feature extraction. This shows that the proposed method was able to retain higher classification accuracy in the presence of noise.

Published
2021

47. Size Characterisation of Edible Bird Nest Impurities: A Preliminary Study

Author

Goh Kam Meng, Daniel Koe, Lai Weng Kin, Ting Por Han, and Wong Jee Keen Raymond

Subjects
Nest, Computer science, 010401 analytical chemistry, 0202 electrical engineering, electronic engineering, information engineering, General Earth and Planetary Sciences, 020201 artificial intelligence & image processing, 02 engineering and technology, Agricultural engineering, Bird nest, 01 natural sciences, 0104 chemical sciences, General Environmental Science
Abstract

Edible bird nest (EBN) production is a major industry in South East Asia, motivated by the perception that consumption of this delicacy can help improve the human immune system while slowing down the aging process. However, processing the raw EBN requires a tremendous amount of human effort, making it a very labour-intensive process. The most critical part of this process is the cleaning of the EBN and this is also the most labour intensive and time consuming. Impurities in each sample have to be painstakingly identified and then removed from the rest of the nest. This paper proposed a method to detect the impurities in edible bird nest using K-Means segmentation to help improve the effectiveness of the conventional cleaning process by accurately identifying the impurities of various shapes and sizes. The accuracy of the proposed method has been compared with Fuzzy C-Means.

Published
2017

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