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Research Output 2000 2019

  • 756 Citations
  • 14 h-Index
  • 31 Conference contribution
  • 27 Article
  • 2 Conference article
  • 1 Editorial
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Article
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

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

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

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
2014
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
2013
Stability Index
Evolutionary Programming
Synchronous generators
Evolutionary algorithms
Optimise
2012
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
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
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
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
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
2008
33 Citations (Scopus)

A hybrid ART-GRNN online learning neural network with a ε-insensitive loss function

Yap, K. S., Lim, C. P. & Zainal Abidin, I., 12 Aug 2008, In : IEEE Transactions on Neural Networks. 19, 9, p. 1641-1646 6 p.

Research output: Contribution to journalArticle

Neural networks
Learning systems
Time series