Compressing and improving fuzzy rules using genetic algorithm and its application to fault detection. - Keem Siah Yap; Sheng Yuong Wong; Sheih Kiong Tiong (ETFA, 2013)

Constrained-Optimization-Based Bayesian Posterior Probability Extreme Learning Machine for Pattern Classification. - Sheng Yuong Wong; Keem Siah Yap; Hwa Jen Yap (ICONIP (3), 2014)

A Truly Online Learning Algorithm using Hybrid Fuzzy ARTMAP and Online Extreme Learning Machine for Pattern Classification. - Shen Yuong Wong; Keem Siah Yap; Hwa Jen Yap; Shing Chiang Tan (Neural Process. Lett., 2015)

On Equivalence of FIS and ELM for Interpretable Rule-Based Knowledge Representation. - Sheng Yuong Wong; Keem Siah Yap; Hwa Jen Yap; Shing Chiang Tan; Siow-Wee Chang (IEEE Trans. Neural Networks Learn. Syst., 2015)

A Constrained Optimization based Extreme Learning Machine for noisy data regression. - Shen Yuong Wong; Keem Siah Yap; Hwa Jen Yap (Neurocomputing, 2016)

An ELM based multi-agent system and its applications to power generation. - Chong Tak Yaw; Shen Yuong Wong; Keem Siah Yap; Hwa Jen Yap; Ungku Anisa Ungku Amirulddin; Shing Chiang Tan (Intell. Decis. Technol., 2018)

Hybrid Data Regression Model Based on the Generalized Adaptive Resonance Theory Neural Network. - Shen Yuong Wong; Keem Siah Yap; Chee Peng Lim; Eric Wai Ming Lee (IEEE Access, 2019)

Realization of a Hybrid Locally Connected Extreme Learning Machine With DeepID for Face Verification. - Shen Yuong Wong; Keem Siah Yap; Qingwei Zhai; Xiaochao Li (IEEE Access, 2019)

A hybrid algorithm of interval type-2 fuzzy logic system and generalized adaptive resonance theory for medical data classification. - Shoun Ying Leow; Shen Yuong Wong; Keem Siah Yap; Hwa Jen Yap (Intell. Decis. Technol., 2019)

A New Probabilistic Output Constrained Optimization Extreme Learning Machine. - Shen Yuong Wong; Keem Siah Yap; Xiaochao Li (IEEE Access, 2020)

Enhancement of Neural Network Based Multi Agent System for Classification and Regression in Energy System. - Chong Tak Yaw; Keem Siah Yap; Shen Yuong Wong; Hwa Jen Yap; Johnny Siaw Paw Koh (IEEE Access, 2020)

A Study on Arrhythmia via ECG Signal Classification Using the Convolutional Neural Network. - Mengze Wu; Yongdi Lu; Wenli Yang; Shen Yuong Wong (Frontiers Comput. Neurosci., 2020)

An efficiency improvement of flexible flow shop scheduling in automotive part company. - Waraporn Fangrit; Hwa Jen Yap; Mukhtar Fatihu Hamza; Siow-Wee Chang; Keem Siah Yap; Shen Yuong Wong (Intell. Decis. Technol., 2020)

A High Throughput and Pipelined Implementation of the LUKS on FPGA. - Xiaochao Li; Kongcheng Wu; Qi Zhang; Shaoyu Lin; Yihui Chen; Shen Yuong Wong (J. Circuits Syst. Comput., 2020)

Predictive Maximum Power Point Tracking for Proton Exchange Membrane Fuel Cell System. - Jye Yun Fam; Shen Yuong Wong; Hazrul Bin Mohamed Basri; Mohammad Omar Abdullah; Kasumawati Binti Lias; Saad Mekhilef (IEEE Access, 2021)

Advances of metaheuristic algorithms in training neural networks for industrial applications. - Hue Yee Chong; Hwa Jen Yap; Shing Chiang Tan; Keem Siah Yap; Shen Yuong Wong (Soft Comput., 2021)

Computational intelligence for preventive maintenance of power transformers. - Shen Yuong Wong; Xiaofeng Ye; Fengkai Guo; Hui Hwang Goh (Appl. Soft Comput., 2022)

An Intelligent Shopping Cart with Automatic Following Function. - Shen Yuong Wong; Yuxuan Chen; Han Wang; Mustafa Mohamed Aadel; Chi Kiong Yip; Meizhu Wu; Yuanyuan Tang (CIS-RAM, 2023)

Meta-heuristic Optimizer Inspired by the Philosophy of Yi Jing. - Yisheng Yang; Sim Kuan Goh; Qing Cai; Shen Yuong Wong; Ho-Kin Tang (CoRR, 2024)