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2019

A hybrid algorithm of interval type-2 fuzzy logic system and generalized adaptive resonance theory for medical data classification

Leow, S. Y., Wong, S. Y., Yap, K. S. & Yap, H. J., 01 Jan 2019, In : Intelligent Decision Technologies. 13, 1, p. 81-89 9 p.

Research output: Contribution to journalArticle

Fuzzy logic
Neural networks
Circuit theory
Fuzzy sets
Plasticity

Hybrid Genetic Algorithm based Fuzzy Inference System for Data Regression

Wong, S. Y., Yap, K. S. & Tan, C. H., 30 Apr 2019, Proceedings - 2018 IEEE Conference on Systems, Process and Control, ICSPC 2018. Institute of Electrical and Electronics Engineers Inc., p. 60-65 6 p. 8704148. (Proceedings - 2018 IEEE Conference on Systems, Process and Control, ICSPC 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fuzzy inference
Genetic algorithms
Membership functions
Regression analysis
Transparency

Realization of a Hybrid Locally Connected Extreme Learning Machine with DeepID for Face Verification

Wong, S. Y., Yap, K. S., Zhai, Q. & Li, X., 01 Jan 2019, In : IEEE Access. 7, p. 70447-70460 14 p., 8725548.

Research output: Contribution to journalArticle

Learning systems
Backpropagation
Learning algorithms
Backpropagation algorithms
Face recognition
2018

A genetic algorithm based fuzzy inference system for pattern classification and rule extraction

Wong, S. Y., Yap, K. S. & Li, X., 01 Jan 2018, In : International Journal of Engineering and Technology(UAE). 7, 4, p. 361-368 8 p.

Research output: Contribution to journalArticle

Fuzzy inference
Fuzzy rules
Pattern recognition
Genetic algorithms
Fuzzy systems

An ELM based multi-agent system and its applications to power generation

Yaw, C. T., Wong, S. Y., Yap, K. S., Yap, H. J., Ungku Amirulddin Al Amin, U. A. & Tan, S. C., 01 Jan 2018, In : Intelligent Decision Technologies. 12, 2, p. 163-171 9 p.

Research output: Contribution to journalArticle

Multi agent systems
Power generation
Learning systems
Governors
Wine
2 Citations (Scopus)

An hour ahead electricity price forecasting with least square support vector machine and bacterial foraging optimization algorithm

Razak, I. A. W. A., Zainal Abidin, I., Yap, K. S., Zainul Abidin, A. A., Rahman, T. K. A., Baharin, N. & Jali, M. H. B., 01 May 2018, In : Indonesian Journal of Electrical Engineering and Computer Science. 10, 2, p. 748-755 8 p.

Research output: Contribution to journalArticle

Least Squares Support Vector Machine
Foraging
Electricity
Support vector machines
Forecasting

An optimization method of genetic algorithm for lssvm in medium term electricity price forecasting

Abdul Razak, I. A. W., Zainal Abidin, I., Yap, K. S., Zainul Abidin, A. A., Rahman, T. K. A., Baharin, N. & Jali, H. B., 01 Jan 2018, In : Journal of Telecommunication, Electronic and Computer Engineering. 10, 2-5, p. 99-103 5 p.

Research output: Contribution to journalArticle

Support vector machines
Electricity
Genetic algorithms
Planning
Testing

Classification of the harmonic load types using Multi-Layer Extreme Learning Machine

Wong, S. Y., Yap, K. S. & Li, X., 01 Jan 2018, IET Conference Publications. CP749 ed. Institution of Engineering and Technology, (IET Conference Publications; vol. 2018, no. CP749).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning systems
Harmonic distortion
Electric power distribution
Electricity
Neural networks

Extreme Learning Machine neural networks for multi-agent system in power generation

Yaw, C. T., Wong, S. Y., Yap, K. S. & Tan, C. H., 01 Jan 2018, In : International Journal of Engineering and Technology(UAE). 7, 4, p. 347-353 7 p.

Research output: Contribution to journalArticle

Multi agent systems
Power generation
Learning systems
Neural networks
Learning

Genetic algorithm fuzzy logic for medical knowledge-based pattern classification

Tan, C. H., Tan, M. S., Chang, S. W., Yap, K. S., Yap, H. J. & Wong, S. Y., 01 Jul 2018, In : Journal of Engineering Science and Technology. 13, Special Issue on ICCSIT 2018, p. 242-258 17 p.

Research output: Contribution to journalArticle

Fuzzy logic
Pattern recognition
Genetic algorithms
Fuzzy rules
Fuzzy systems
2017

An ELM based multi-agent system and its applications to power generation

Yaw, C. T., Wong, S. Y., Yap, K. S., Yap, H. J., Ungku Amirulddin Al Amin, U. A. & Tan, S. C., 01 Jan 2017, In : Intelligent Decision Technologies. 11, 3, p. 297-305 9 p.

Research output: Contribution to journalArticle

Multi agent systems
Power generation
Learning systems
Governors
Medical problems

A new hybrid fuzzy ARTMAP and radial basis function neural network with online pruning strategy

Leow, S. Y., Wong, S. Y., Yap, K. S. & Yap, H. J., 10 Jan 2017, 2016 7th IEEE Control and System Graduate Research Colloquium, ICSGRC 2016 - Proceeding. Institute of Electrical and Electronics Engineers Inc., p. 17-21 5 p. 7813294

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fuzzy ARTMAP
Radial Basis Function Neural Network
Pruning
Neural networks
Radial basis function networks
5 Citations (Scopus)

A novel hybrid method of LSSVM-GA with multiple stage optimization for electricity price forecasting

Razak, I. A. W. A., Zainal Abidin, I., Yap, K. S., Zainul Abidin, A. A., Rahman, T. K. A. & Nasir, M. N. M., 16 Jun 2017, PECON 2016 - 2016 IEEE 6th International Conference on Power and Energy, Conference Proceeding. Institute of Electrical and Electronics Engineers Inc., p. 390-395 6 p. 7951593

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Support vector machines
Electricity
Genetic algorithms
Decision making
Power markets

Short term electricity price forecasting with multistage optimization technique of LSSVM-GA

Razak, I. A. W. A., Zainal Abidin, I., Yap, K. S., Zainul Abidin, A. A. & Rahman, T. K. A., 01 Jan 2017, In : Journal of Telecommunication, Electronic and Computer Engineering. 9, 2-7, p. 117-122 6 p.

Research output: Contribution to journalArticle

Support vector machines
Electricity
Genetic algorithms
Real time systems
Power markets
2016
14 Citations (Scopus)

A Constrained Optimization based Extreme Learning Machine for noisy data regression

Yuong Wong, S., Yap, K. S. & Jen Yap, H., 01 Jan 2016, In : Neurocomputing. 171, p. 1431-1443 13 p.

Research output: Contribution to journalArticle

Constrained optimization
Learning systems
Noise
Data handling
Lagrange multipliers

A novel method of BFOA-LSSVM for electricity price forecasting

Razak, I. A. W. A., Zainal Abidin, I., Yap, K. S., Zainul Abidin, A. A., Rahman, T. K. A. & Ahmad, A., 20 Apr 2016, In : ARPN Journal of Engineering and Applied Sciences. 11, 8, p. 4961-4968 8 p.

Research output: Contribution to journalArticle

Support vector machines
Electricity
Energy efficiency
Profitability
2015
12 Citations (Scopus)

A Truly Online Learning Algorithm using Hybrid Fuzzy ARTMAP and Online Extreme Learning Machine for Pattern Classification

Wong, S. Y., Yap, K. S., Yap, H. J. & Tan, S. C., 01 Dec 2015, In : Neural Processing Letters. 42, 3, p. 585-602 18 p.

Research output: Contribution to journalArticle

Learning algorithms
Pattern recognition
Learning systems
Learning
Benchmarking
57 Citations (Scopus)

Extreme Learning Machines: A new approach for prediction of reference evapotranspiration

Abdullah, S. S., Abdul Malek, M., Abdullah, N. S., Kisi, O. & Yap, K. S., 01 Aug 2015, In : Journal of Hydrology. 527, p. 184-195 12 p.

Research output: Contribution to journalArticle

evapotranspiration
prediction
relative humidity
air temperature
machine learning
1 Citation (Scopus)

Feature selection and parameter optimization with GA-LSSVM in electricity price forecasting

Intan Azmira, W. A. R., Zainal Abidin, I., Yap, K. S. & Titik Khawa, A. R., 01 Jan 2015, In : Journal of Electrical Engineering. 15, 1, p. 159-166 8 p.

Research output: Contribution to journalArticle

Support vector machines
Feature extraction
Electricity
Genetic algorithms
Particle swarm optimization (PSO)
29 Citations (Scopus)

On equivalence of FIS and ELM for interpretable rule-based knowledge representation

Wong, S. Y., Yap, K. S., Yap, H. J., Tan, S. C. & Chang, S. W., 01 Jul 2015, In : IEEE Transactions on Neural Networks and Learning Systems. 26, 7, p. 1417-1430 14 p., 6877713.

Research output: Contribution to journalArticle

Knowledge representation
Learning systems
Membership functions
Fuzzy inference
Fault detection

Support vector machine for day ahead electricity price forecasting

Razak, I. A. B. W. A., Zainal Abidin, I., Yap, K. S., Rahman, T. K. B. A., Lada, M. Y., Ramani, A. N. B., Nasir, M. N. M. & Ahmad, A. B., 15 May 2015, International Conference on Mathematics, Engineering and Industrial Applications, ICoMEIA 2014. Ramli, M. F., Roslan, N., Junoh, A. K., Masnan, M. J. & Kharuddin, M. H. (eds.). American Institute of Physics Inc., 090021. (AIP Conference Proceedings; vol. 1660).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

electricity
forecasting
Ontario
education
operators
2014
2 Citations (Scopus)

An ELM based multi agent systems using certified belief in strength

Yaw, C. T., Yap, K. S., Yap, H. J. & Ungku Amirulddin Al Amin, U. A., 2014, Neural Information Processing - 21st International Conference, ICONIP 2014, Proceedings. Springer Verlag, Vol. 8836. p. 458-465 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8836).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Extreme Learning Machine
Multi agent systems
Multi-agent Systems
Learning systems
Wine
9 Citations (Scopus)

Application of fuzzy inference rules to early semi-automatic estimation of activity duration in software project management

Tan, C. H., Yap, K. S., Ishibuchi, H., Nojima, Y. & Yap, H. J., 01 Oct 2014, In : IEEE Transactions on Human-Machine Systems. 44, 5, p. 678-688 11 p., 6818430.

Research output: Contribution to journalArticle

project management
Fuzzy inference
Project management
expert
expert knowledge

Constrained–Optimization-based Bayesian posterior probability extreme learning machine for pattern classification

Wong, S. Y. & Yap, K. S., 2014, Neural Information Processing - 21st International Conference, ICONIP 2014, Proceedings. Springer Verlag, Vol. 8836. p. 466-473 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8836).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Extreme Learning Machine
Pattern Classification
Posterior Probability
Pattern recognition
Learning systems

Preface

Loo, C. K., Yap, K. S., Wong, K. W., Teoh, A. & Huang, K., 01 Jan 2014, In : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8835, p. V-VI

Research output: Contribution to journalEditorial

Preface

Loo, C. K., Yap, K. S., Wong, K. W., Teoh, A. & Huang, K., 2014, Neural Information Processing - 21st International Conference, ICONIP 2014, Proceedings. Springer Verlag, Vol. 8836. p. IV-VI (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8836).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2013
4 Citations (Scopus)

A hybrid fuzzy logic and extreme learning machine for improving efficiency of circulating water systems in power generation plant

Aziz, N. L. A. A., Yap, K. S. & Bunyamin, M. A., 01 Jan 2013, In : IOP Conference Series: Earth and Environmental Science. 16, 1, 012102.

Research output: Contribution to journalConference article

fuzzy mathematics
power generation
water
learning
pollution
3 Citations (Scopus)

A hybrid genetic algorithm and linear regression for prediction of NOx emission in power generation plant

Bunyamin, M. A., Yap, K. S., Aziz, N. L. A. A., Tiong, S. K., Wong, S. Y. & Kamal, M. F., 01 Jan 2013, In : IOP Conference Series: Earth and Environmental Science. 16, 1, 012101.

Research output: Contribution to journalConference article

nitrous oxide
power generation
genetic algorithm
prediction
gas
Stability Index
Evolutionary Programming
Synchronous generators
Evolutionary algorithms
Optimise
5 Citations (Scopus)

Compressing and improving fuzzy rules using genetic algorithm and its application to fault detection

Yap, K. S., Wong, S. Y. & Tiong, S. K., 2013, Proceedings of 2013 IEEE 18th International Conference on Emerging Technologies and Factory Automation, ETFA 2013. 6648106

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fuzzy rules
Fault detection
Genetic algorithms
Neural networks
Redundancy
2012

Application of Fuzzy expert systems for construction labor productivity estimation

Muqeem, S., Bin Idrus, A., Khamidi, M. F., Yap, K. S. & Saqib, M., 31 Oct 2012, 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings. p. 506-511 6 p. 6297298. (2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings; vol. 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fuzzy Expert System
Expert systems
Productivity
Personnel
Mean square error
14 Citations (Scopus)

Application of genetic algorithm for fuzzy rules optimization on semi expert judgment automation using Pittsburg approach

Tan, C. H., Yap, K. S. & Yap, H. J., 01 Aug 2012, In : Applied Soft Computing Journal. 12, 8, p. 2168-2177 10 p.

Research output: Contribution to journalArticle

Fuzzy rules
Automation
Genetic algorithms
Linguistics
Knowledge based systems
11 Citations (Scopus)

Comparison of supervised learning techniques for non-technical loss detection in power utility

Yap, K. S., Tiong, S. K., Nagi, J., Koh, J. S. P. & Nagi, F., 01 Aug 2012, In : International Review on Computers and Software. 7, 2, p. 626-636 11 p.

Research output: Contribution to journalArticle

Supervised learning
Learning systems
Backpropagation
Neural networks
Support vector machines
16 Citations (Scopus)

Daily maximum load forecasting of consecutive national holidays using OSELM-based multi-agents system with weighted average strategy

Yap, K. S. & Yap, H. J., 01 Apr 2012, In : Neurocomputing. 81, p. 108-112 5 p.

Research output: Contribution to journalArticle

Holidays
Multi agent systems
Learning systems
Malaysia
Machine Learning
1 Citation (Scopus)

MOSELM approach for Voltage Stability Indicator using phasor measurement units

Zainal Abidin, I., Yap, K. S., Saadun, N., Abdullah, S. K. S. & Mohd Sarmin, M. K. N., 01 Dec 2012, PECon 2012 - 2012 IEEE International Conference on Power and Energy. p. 510-514 5 p. 6450267. (PECon 2012 - 2012 IEEE International Conference on Power and Energy).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Phasor measurement units
Kalman filters
Voltage control
Learning systems
Tuning
2011
64 Citations (Scopus)

A computational intelligence scheme for the prediction of the daily peak load

Nagi, J., Yap, K. S., Nagi, F., Tiong, S. K. & Khaleel Ahmed, S., 01 Dec 2011, In : Applied Soft Computing Journal. 11, 8, p. 4773-4788 16 p.

Research output: Contribution to journalArticle

Artificial intelligence
Electricity
Self organizing maps
Time series
Privatization
2 Citations (Scopus)

A new multi agent system based on online sequential extreme learning machines and Bayesian Formalism

Yap, K. S., 11 Jul 2011, 2011 International Conference on Networking, Sensing and Control, ICNSC 2011. p. 74-79 6 p. 5874946. (2011 International Conference on Networking, Sensing and Control, ICNSC 2011).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Multi agent systems
Learning systems
Pattern recognition
Decision making
Neural networks
1 Citation (Scopus)

Feature extraction method and neural network pattern recognition on time-resolved partial discharge signals

Tho, N. T. N., Kumar Chakrabarty, C., Yap, K. S. & Ghani, A. B. A., 2011, 2011 IEEE Conference on Open Systems, ICOS 2011. p. 243-246 4 p. 6079231

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Partial discharges
Pattern recognition
Feature extraction
Magnetic sensors
Neural networks
2 Citations (Scopus)

FPGA implementation of neural network classifier for partial discharge time resolved data from magnetic probe

Nguyen, T. N. T., Kumar Chakrabarty, C., Ahmad, B. A. G. & Yap, K. S., 2011, APAP 2011 - Proceedings: 2011 International Conference on Advanced Power System Automation and Protection. Vol. 1. p. 451-455 5 p. 6180444

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Partial discharges
Field programmable gate arrays (FPGA)
Classifiers
Neural networks
Underground cables
28 Citations (Scopus)

Improved GART neural network model for pattern classification and rule extraction with application to power systems

Yap, K. S., Lim, C. P. & Au, M. T., 01 Dec 2011, In : IEEE Transactions on Neural Networks. 22, 12 PART 2, p. 2310-2323 14 p., 6069866.

Research output: Contribution to journalArticle

Pattern recognition
Neural networks
Systems engineering
60 Citations (Scopus)

Improving SVM-based nontechnical loss detection in power utility using the fuzzy inference system

Nagi, J., Yap, K. S., Tiong, S. K., Khaleel Ahmed, S. & Nagi, F., 01 Apr 2011, In : IEEE Transactions on Power Delivery. 26, 2, p. 1284-1285 2 p., 5738432.

Research output: Contribution to journalArticle

Fuzzy inference
Support vector machines
Artificial intelligence
Electricity
Costs
3 Citations (Scopus)

Optimization of mechanical input power to synchronous generator based on transient stability center-of-inertia: COI angle and COI speed

Hashim, H., Zainal Abidin, I., Yap, K. S., Musirin, I. & Zulkepali, M. R., 2011, 2011 5th International Power Engineering and Optimization Conference, PEOCO 2011 - Program and Abstracts. p. 249-254 6 p. 5970450

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Synchronous generators
Evolutionary algorithms
Electric circuit breakers
Turbines
Rotors
2010
16 Citations (Scopus)

An enhanced generalized adaptive resonance theory neural network and its application to medical pattern classification

Yap, K. S., Lim, C. P. & Mohamad-Saleh, J., 12 Feb 2010, In : Journal of Intelligent and Fuzzy Systems. 21, 1-2, p. 65-78 14 p.

Research output: Contribution to journalArticle

Adaptive Resonance Theory
Pattern Classification
Pattern recognition
Neural Networks
Neural networks

Fault detection and diagnosis using an art-based neural network

Yap, K. S., Au, M. T., Lim, C. P. & Saleh, J. M., 20 Jul 2010, Proceedings of the 10th IASTED International Conference on Artificial Intelligence and Applications, AIA 2010. p. 118-125 8 p. (Proceedings of the 10th IASTED International Conference on Artificial Intelligence and Applications, AIA 2010).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fault detection
Failure analysis
Neural networks
Circuit theory
Medical applications
5 Citations (Scopus)

Lightning forecasting using ANN-BP & radiosonde

Leong, Y. W., Omar, J., Yap, K. S., Khaleel Ahmed, S., Zainal Abidin, I. & Abdullah, N., 2010, 2010 International Conference on Intelligent Computing and Cognitive Informatics, ICICCI 2010. p. 152-155 4 p. 5566013

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Radiosondes
Lightning
Neural networks
Engines
Airports
156 Citations (Scopus)

Nontechnical loss detection for metered customers in power utility using support vector machines

Nagi, J., Yap, K. S., Tiong, S. K., Khaleel Ahmed, S. & Mohamad, M., 01 Apr 2010, In : IEEE Transactions on Power Delivery. 25, 2, p. 1162-1171 10 p., 5286297.

Research output: Contribution to journalArticle

Support vector machines
Electricity
Inspection
Artificial intelligence
Data mining
21 Citations (Scopus)

NTL detection of electricity theft and abnormalities for large power consumers in TNB malaysia

Nagi, J., Yap, K. S., Nagi, F., Tiong, S. K., Koh, J. S. P. & Khaleel Ahmed, S., 2010, Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010. p. 202-206 5 p. 5704002

Research output: Chapter in Book/Report/Conference proceedingConference contribution

larceny
electricity
Malaysia
Electricity
customer

The effect of delays on the performance of Layer Recurrent Network

Li, T. C., Nordin, F. H. & Yap, K. S., 2010, Proceedings - CSPA 2010: 2010 6th International Colloquium on Signal Processing and Its Applications. 5545274

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Feedback
Network performance
Experiments

Viability of using ANN-BP on a handheld device

Leong, Y. W., Omar, J., Yap, K. S., Zainal Abidin, I. & Khaleel Ahmed, S., 29 Oct 2010, 2010 International Conference on Intelligent Computing and Cognitive Informatics, ICICCI 2010. p. 149-151 3 p. 5566012

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Backpropagation
Neural networks
Processing