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Prof. Ir. Dr. Keem Siah YAP
Prof. Ir. Dr. Keem Siah YAP
Affiliazione sconosciuta
Email verificata su uniten.edu.my - Home page
Titolo
Citata da
Citata da
Anno
Nontechnical loss detection for metered customers in power utility using support vector machines
J Nagi, KS Yap, SK Tiong, SK Ahmed, M Mohamad
IEEE transactions on Power Delivery 25 (2), 1162-1171, 2009
5212009
Detection of abnormalities and electricity theft using genetic support vector machines
J Nagi, KS Yap, SK Tiong, SK Ahmed, AM Mohammad
TENCON 2008-2008 IEEE region 10 conference, 1-6, 2008
2482008
Extreme learning machines: a new approach for prediction of reference evapotranspiration
SS Abdullah, MA Malek, NS Abdullah, O Kisi, KS Yap
Journal of Hydrology 527, 184-195, 2015
2272015
Improving SVM-based nontechnical loss detection in power utility using the fuzzy inference system
J Nagi, KS Yap, SK Tiong, SK Ahmed, F Nagi
IEEE Transactions on power delivery 26 (2), 1284-1285, 2011
2222011
Non-technical loss analysis for detection of electricity theft using support vector machines
J Nagi, AM Mohammad, KS Yap, SK Tiong, SK Ahmed
2008 IEEE 2nd International Power and Energy Conference, 907-912, 2008
1802008
A computational intelligence scheme for the prediction of the daily peak load
J Nagi, KS Yap, F Nagi, SK Tiong, SK Ahmed
Applied Soft Computing 11 (8), 4773-4788, 2011
1112011
On equivalence of FIS and ELM for interpretable rule-based knowledge representation
SY Wong, KS Yap, HJ Yap, SC Tan, SW Chang
IEEE transactions on neural networks and learning systems 26 (7), 1417-1430, 2014
962014
NTL detection of electricity theft and abnormalities for large power consumers in TNB Malaysia
J Nagi, KS Yap, F Nagi, SK Tiong, SP Koh, SK Ahmed
2010 IEEE Student Conference on Research and Development (SCOReD), 202-206, 2010
642010
Analysis of line sensor configuration for the advanced line follower robot
MZ Baharuddin, IZ Abidin, SSK Mohideen, YK Siah, JTT Chuan
University Tenaga Nasional, 2005
542005
Improved GART neural network model for pattern classification and rule extraction with application to power systems
KS Yap, CP Lim, MT Au
IEEE transactions on neural networks 22 (12), 2310-2323, 2011
492011
A Hybrid ART-GRNN Online Learning Neural Network With a -Insensitive Loss Function
KS Yap, CP Lim, IZ Abidin
IEEE transactions on neural networks 19 (9), 1641-1646, 2008
492008
Advances of metaheuristic algorithms in training neural networks for industrial applications
HY Chong, HJ Yap, SC Tan, KS Yap, SY Wong
Soft Computing 25 (16), 11209-11233, 2021
452021
Electrical power load forecasting using hybrid self-organizing maps and support vector machines
J Nagi, K Yap, S Tiong, S Ahmed
Training 99 (1), 31, 2008
432008
A Constrained Optimization based Extreme Learning Machine for noisy data regression
SY Wong, KS Yap, HJ Yap
Neurocomputing 171, 1431-1443, 2016
382016
A truly online learning algorithm using hybrid fuzzy ARTMAP and online extreme learning machine for pattern classification
SY Wong, KS Yap, HJ Yap, SC Tan
Neural Processing Letters 42, 585-602, 2015
322015
Application of genetic algorithm for fuzzy rules optimization on semi expert judgment automation using Pittsburg approach
CH Tan, KS Yap, HJ Yap
Applied Soft Computing 12 (8), 2168-2177, 2012
292012
An enhanced generalized adaptive resonance theory neural network and its application to medical pattern classification
KS Yap, CP Lim, J Mohamad-Saleh
Journal of Intelligent & Fuzzy Systems 21 (1, 2), 65-78, 2010
282010
Comparison of supervised learning techniques for non-technical loss detection in power utility
KS Yap, SK Tiong, J Nagi, JSP Koh, F Nagi
International Review on Computers and Software 7 (2), 626-636, 2012
262012
Daily maximum load forecasting of consecutive national holidays using OSELM-based multi-agents system with weighted average strategy
KS Yap, HJ Yap
Neurocomputing 81, 108-112, 2012
252012
Realization of a hybrid locally connected extreme learning machine with DeepID for face verification
SY Wong, KS Yap, Q Zhai, X Li
IEEE Access 7, 70447-70460, 2019
222019
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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