| 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 | 357 | 2009 |
| 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 | 200 | 2008 |
| 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 | 152 | 2015 |
| 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 | 148 | 2011 |
| 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 | 137 | 2008 |
| 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 | 96 | 2011 |
| 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 | 65 | 2014 |
| 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 | 47 | 2008 |
| 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 | 47 | 2005 |
| 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 | 44 | 2011 |
| 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 | 43 | 2010 |
| 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 | 38 | 2008 |
| 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 (3), 585-602, 2015 | 29 | 2015 |
| A Constrained Optimization based Extreme Learning Machine for noisy data regression SY Wong, KS Yap, HJ Yap Neurocomputing 171, 1431-1443, 2016 | 28 | 2016 |
| 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 | 28 | 2012 |
| 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 | 25 | 2010 |
| 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 | 22 | 2012 |
| Comparison of supervised learning techniques for non-technical loss detection in power utility KS Yap, SK Tiong, J Nagi, JSP Koh, F Nagi | 22 | 2012 |
| Abnormalities and fraud electric meter detection using hybrid support vector machine & genetic algorithm KS Yap, IZ Abidin, AR Ahmad, ZF Hussien, HL Pok, FI Ismail, ... Proceedings of the third conference on IASTED International Conference …, 2007 | 18 | 2007 |
| Vehicle licence plate recognition by fuzzy artmap neural network YK Siah, TY Haur, M Khalid, T Ahmad, J Semarak Centre for Artificial 1ntelligence and Robotics, Kuala Lumpur, 1999 | 18 | 1999 |
Prof. Ir. Dr. Tiong Sieh KiongUniversiti Tenaga NasionalVerified email at uniten.edu.my
