Profils utilisateurs correspondant à "Weng-Kin Lai"
WENG KIN LAIProfessor, Tunku Abdul Rahman University of Management and Technology Adresse e-mail validée de tarc.edu.my Cité 1168 fois |
Keystroke patterns classification using the ARTMAP-FD neural network
This paper presents the development of a keystroke dynamics-based user authentication
system using the ARTMAP-FD neural network. The effectiveness of ARTMAP- FD in classifying …
system using the ARTMAP-FD neural network. The effectiveness of ARTMAP- FD in classifying …
Noise invariant partial discharge classification based on convolutional neural network
WJK Raymond, CW Xin, LW Kin, HA Illias - Measurement, 2021 - Elsevier
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 …
of the insulation defect. Numerous machine learning models have been utilized for PD …
Early symptom detection of basal stem rot disease in oil palm trees using a deep learning approach on UAV images
OW Kent, TW Chun, TL Choo, LW Kin - Computers and Electronics in …, 2023 - Elsevier
The oil palm tree (Elaeis guineensis Jacq.) is a vital and economically important plant, as the
oil from its fruit is a primary export for many Southeast Asian countries. Hence the health of …
oil from its fruit is a primary export for many Southeast Asian countries. Hence the health of …
ArchCam: Real time expert system for suspicious behaviour detection in ATM site
Automated Teller Machine (ATM) offers great convenience to many people by allowing quick
bank transactions and cash withdrawal. However, ATM machines are also vulnerable to …
bank transactions and cash withdrawal. However, ATM machines are also vulnerable to …
Enhanced user authentication through typing biometrics with artificial neural networks and k-nearest neighbor algorithm
The emergence of global network access has promoted increased chances of malicious
attack and intrusion. Password authentication has been known as the most commonly …
attack and intrusion. Password authentication has been known as the most commonly …
Homogeneous ants for web document similarity modeling and categorization
KM Hoe, WK Lai, TSY Tai - International Workshop on Ant Algorithms, 2002 - Springer
The self-organizing and autonomous behavior of social insects such as ants presents an
interesting and powerful metaphor for applications in the retrieval and management of large …
interesting and powerful metaphor for applications in the retrieval and management of large …
[PDF][PDF] Pressure-based typing biometrics user authentication using the fuzzy ARTMAP neural network
In spite of the popularity of password-based authentication method, there are many inherent
flaws with this approach. To minimize the risk of intrusion, typing biometrics can be used to …
flaws with this approach. To minimize the risk of intrusion, typing biometrics can be used to …
[LIVRE][B] Neural Information Processing: 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015, Proceedings, Part II
The four volume set LNCS 9489, LNCS 9490, LNCS 9491, and LNCS 9492 constitutes the
proceedings of the 22nd International Conference on Neural Information Processing, ICONIP …
proceedings of the 22nd International Conference on Neural Information Processing, ICONIP …
[PDF][PDF] Design and evaluation of a pressure-based typing biometric authentication system
The design and preliminary evaluation of a pressure sensor-based typing biometrics
authentication system (PBAS) is discussed in this paper. This involves the integration of pressure …
authentication system (PBAS) is discussed in this paper. This involves the integration of pressure …
Smart speed bump detection and estimation with kinect
KM Lion, KH Kwong, WK Lai - 2018 4th International …, 2018 - ieeexplore.ieee.org
Prior identification of speed bumps allows drivers and the car suspension system to respond
before passing over them. This may prevent bad driving experience, vehicle damage and in …
before passing over them. This may prevent bad driving experience, vehicle damage and in …