On Interpretation of Graffitti commands for EBooks Using a Neural Netwrok and An Improved Genetic Algorithm. - Hak-Keung Lam; Sai-Ho Ling; K. F. Leung; Frank H. F. Leung (FUZZ-IEEE, 2001)

Optimal and Stable Fuzzy Controllers for Nonlinear Systems Subject to Parameter Uncertainties Using Genetic Algorithm. - Hak-Keung Lam; Sai-Ho Ling; Frank H. F. Leung; Peter Kwong-Shun Tam (FUZZ-IEEE, 2001)

A Neural Fuzzy Network With Optimal Number of Rules for Short Term Load Forecasting in An Intelligent Home. - Sai-Ho Ling; Hak-Keung Lam; Frank H. F. Leung; Peter Kwong-Shun Tam (FUZZ-IEEE, 2001)

Daily Load Forecasting With a Fuzzy-input-Neural Network in An Intelligent Home. - Sai-Ho Ling; Frank H. F. Leung; Peter Kwong-Shun Tam (FUZZ-IEEE, 2001)

Learning of neural network parameters using a fuzzy genetic algorithm. - Steve S. H. Ling; Hak-Keung Lam; Frank H. F. Leung; Peter Kwong-Shun Tam (IEEE Congress on Evolutionary Computation, 2002)

On interpretation of graffiti digits and commands for eBooks: neural fuzzy network and genetic algorithm approach. - Hak-Keung Lam; K. F. Leung; Sai-Ho Ling; Frank H. F. Leung; Peter Kwong-Shun Tam (FUZZ-IEEE, 2002)

Gain estimation for an AC power line data network transmitter using a neural-fuzzy network and an improved genetic algorithm. - Hak-Keung Lam; Sai-Ho Ling; Frank H. F. Leung; Peter Kwong-Shun Tam; Yim-Shu Lee (FUZZ-IEEE, 2003)

A genetic algorithm based fuzzy-tuned neural network. - Sai-Ho Ling; Hak-Keung Lam; Frank H. F. Leung; Yim-Shu Lee (FUZZ-IEEE, 2003)

A novel genetic-algorithm-based neural network for short-term load forecasting. - Sai-Ho Ling; Frank Hung-Fat Leung; Hak-Keung Lam; Yim-Shu Lee; Peter Kwong-Shun Tam (IEEE Trans. Ind. Electron., 2003)

Short-term electric load forecasting based on a neural fuzzy network. - Sai-Ho Ling; Frank Hung-Fat Leung; Hak-Keung Lam; Peter Kwong-Shun Tam (IEEE Trans. Ind. Electron., 2003)

Tuning of the structure and parameters of a neural network using an improved genetic algorithm. - Frank Hung-Fat Leung; Hak-Keung Lam; Sai-Ho Ling; Peter Kwong-Shun Tam (IEEE Trans. Neural Networks, 2003)

Function estimation using a neural-fuzzy network and an improved genetic algorithm. - Hak-Keung Lam; Sai-Ho Ling; Frank H. F. Leung; Peter Kwong-Shun Tam (Int. J. Approx. Reason., 2004)

On interpretation of graffiti digits and characters for eBooks: neural-fuzzy network and genetic algorithm approach. - K. F. Leung; Frank H. F. Leung; Hak-Keung Lam; Steve S. H. Ling (IEEE Trans. Ind. Electron., 2004)

Optimal and stable fuzzy controllers for nonlinear systems based on an improved genetic algorithm. - Frank Hung-Fat Leung; Hak-Keung Lam; Sai-Ho Ling; Peter Kwong-Shun Tam (IEEE Trans. Ind. Electron., 2004)

Real-coded genetic algorithm with average-bound crossover and wavelet mutation for network parameters learning. - Steve S. H. Ling; Frank Hung-Fat Leung (IJCNN, 2005)

Genetic algorithm-based variable translation wavelet neural network and its application. - Steve S. H. Ling; Frank Hung-Fat Leung (IJCNN, 2005)

A variable-parameter neural network trained by improved genetic algorithm and its application. - Steve S. H. Ling; Hak-Keung Lam; Frank Hung-Fat Leung (IJCNN, 2005)

Computational Intelligence Techniques for Home Electric Load Forecasting and Balancing. - Sai-Ho Ling; Frank H. F. Leung; Lik-Kin Wong; Hak-Keung Lam (Int. J. Comput. Intell. Appl., 2005)

An improved genetic algorithm based fuzzy-tuned neural network. - Sai-Ho Ling; Frank H. F. Leung; Hak-Keung Lam (Int. J. Neural Syst., 2005)

A Variable Node-to-Node-Link Neural Network and Its Application to Hand-Written Recognition. - Sai-Ho Ling; Frank H. F. Leung; Hak-Keung Lam (IJCNN, 2006)

Solving multi-contingency transient stability constrained optimal power flow problems with an improved GA. - Kit Yan Chan; Sai-Ho Ling; K. W. Chan; Herbert H. C. Iu; G. T. Y. Pong (IEEE Congress on Evolutionary Computation, 2007)

A GA-based data mining approach to process improvement of fluid dispensing for electronic packaging. - Kit Yan Chan; Sai-Ho Ling; Herbert H. C. Iu; C. K. Kwong 001 (IEEE Congress on Evolutionary Computation, 2007)

Control of nonlinear systems with a linear state-feedback controller and a modified neural network tuned by genetic algorithm. - Hak-Keung Lam; Sai-Ho Ling; Herbert H. C. Iu; Chun Wan Yeung; Frank H. F. Leung (IEEE Congress on Evolutionary Computation, 2007)

A new hybrid Particle Swarm Optimization with wavelet theory based mutation operation. - Sai-Ho Ling; Chun Wan Yeung; Kit Yan Chan; Herbert H. C. Iu; Frank H. F. Leung (IEEE Congress on Evolutionary Computation, 2007)

Application of a modified neural fuzzy network and an improved genetic algorithm to speech recognition. - K. F. Leung; Frank H. F. Leung; Hak-Keung Lam; Sai-Ho Ling (Neural Comput. Appl., 2007)

An Improved Genetic Algorithm with Average-bound Crossover and Wavelet Mutation Operations. - Sai-Ho Ling; Frank H. F. Leung (Soft Comput., 2007)

Input-dependent neural network trained by real-coded genetic algorithm and its industrial applications. - Sai-Ho Ling; Frank H. F. Leung; Hak-Keung Lam (Soft Comput., 2007)

Gene signature selection for cancer prediction using an integrated approach of genetic algorithm and support vector machine. - Kit Yan Chan; H. L. Zhu; C. C. Lau; Sai-Ho Ling (IEEE Congress on Evolutionary Computation, 2008)

Modelling the development of fluid dispensing for electronic packaging: Hybrid Particle Swarm Optimization based-wavelet neural network approach. - Sai-Ho Ling; Herbert H. C. Iu; Frank H. F. Leung; Kit Yan Chan (IJCNN, 2008)

Genetic Algorithms with Dynamic Mutation Rates and their Industrial Applications. - Kit Yan Chan; Terence C. Fogarty; Mehmet Emin Aydin; Sai-Ho Ling; Herbert H. C. Iu (Int. J. Comput. Intell. Appl., 2008)

An Improved Genetic-Algorithm-Based Neural-Tuned Neural Network. - Frank H. F. Leung; Sai-Ho Ling; Hak-Keung Lam (Int. J. Comput. Intell. Appl., 2008)

Synchronization of Chaotic Systems Using Time-Delayed Fuzzy State-Feedback Controller. - Hak-Keung Lam; Bingo Wing-Kuen Ling; Herbert Ho-Ching Iu; Steve S. H. Ling (IEEE Trans. Circuits Syst. I Regul. Pap., 2008)

Improved Hybrid Particle Swarm Optimized Wavelet Neural Network for Modeling the Development of Fluid Dispensing for Electronic Packaging. - Sai-Ho Ling; Herbert Ho-Ching Iu; Frank Hung-Fat Leung; Kit Yan Chan (IEEE Trans. Ind. Electron., 2008)

Hybrid Particle Swarm Optimization With Wavelet Mutation and Its Industrial Applications. - Sai-Ho Ling; Herbert H. C. Iu; Kit Yan Chan; Hak-Keung Lam; Chun Wan Yeung; Frank H. F. Leung (IEEE Trans. Syst. Man Cybern. Part B, 2008)

A new Differential Evolution with wavelet theory based mutation operation. - Johnny C. Y. Lai; Frank H. F. Leung; Sai-Ho Ling (IEEE Congress on Evolutionary Computation, 2009)

An integrated approach of particle swarm optimization and support vector machine for gene signature selection and cancer prediction. - Chun Wan Yeung; Frank H. F. Leung; Kit Yan Chan; Sai-Ho Ling (IJCNN, 2009)

Speech Recognition Enhancement Using Beamforming and a Genetic Algorithm. - Kit Yan Chan; Siow Yong Low; Sven Nordholm; Ka Fai Cedric Yiu; Sai-Ho Ling (NSS, 2009)

A New Particle Swarm Optimization Algorithm for Neural Network Optimization. - Sai-Ho Ling; Hung T. Nguyen 001; Kit Yan Chan (NSS, 2009)

Classification of hypoglycemic episodes for Type 1 diabetes mellitus based on neural networks. - Kit Yan Chan; Sai-Ho Ling; Tharam Singh Dillon; Hung T. Nguyen 001 (IEEE Congress on Evolutionary Computation, 2010)

Determination of chemo-responses for osteosarcoma using a hybrid evolutionary algorithm. - Kit Yan Chan; Hailong Zhu; Ching Lau; Tharam Singh Dillon; Sai-Ho Ling (IEEE Congress on Evolutionary Computation, 2010)

A New Differential Evolution with self-terminating ability using fuzzy control and k-nearest neighbors. - Johnny C. Y. Lai; Frank H. F. Leung; Sai-Ho Ling (IEEE Congress on Evolutionary Computation, 2010)

Economic Load Dispatch using Differential Evolution with double wavelet mutation operations. - Johnny C. Y. Lai; Frank H. F. Leung; Sai-Ho Ling (IEEE Congress on Evolutionary Computation, 2010)

Genetic algorithm based fuzzy multiple regression for the nocturnal Hypoglycaemia detection. - Sai-Ho Ling; Hung T. Nguyen 001; Kit Yan Chan (IEEE Congress on Evolutionary Computation, 2010)

A New Neural Network Structure: Node-to-Node-Link Neural Network. - Sai Ho Ling (J. Intell. Learn. Syst. Appl., 2010)

Identification of hypoglycemic states for patients with T1DM using various parameters derived from EEG signals. - Lien B. Nguyen; Steve S. H. Ling; Timothy W. Jones; Hung T. Nguyen 001 (EMBC, 2011)

Block based neural network for hypoglycemia detection. - Phyo Phyo San; Sai-Ho Ling; Hung T. Nguyen 001 (EMBC, 2011)

Determination of process conditions of epoxy dispensing processes using a genetic algorithm based neural fuzzy networks. - Kit Yan Chan; Steve S. H. Ling; Tharam Singh Dillon; C. K. Kwong 001 (FUZZ-IEEE, 2011)

Manufacturing modeling using an evolutionary fuzzy regression. - Kit Yan Chan; Steve S. H. Ling; Tharam Singh Dillon; C. K. Kwong 001 (FUZZ-IEEE, 2011)

A distributed smart routing scheme for terrestrial sensor networks with hybrid Neural Rough Sets. - Frank Jiang 001; Michael R. Frater; Steve S. H. Ling (FUZZ-IEEE, 2011)

Economic load dispatch using intelligent optimization with fuzzy control. - Johnny C. Y. Lai; Frank H. F. Leung; Sai-Ho Ling; Edwin Chao Shi (FUZZ-IEEE, 2011)

Permutation flow shop scheduling: Fuzzy particle swarm optimization approach. - Sai-Ho Ling; Frank Jiang 001; Hung T. Nguyen 001; Kit Yan Chan (FUZZ-IEEE, 2011)

Hypoglycemia detection using fuzzy inference system with genetic algorithm. - Sai-Ho Ling; Hung T. Nguyen 001; Frank Hung-Fat Leung (FUZZ-IEEE, 2011)

Diagnosis of hypoglycemic episodes using a neural network based rule discovery system. - Kit Yan Chan; Sai-Ho Ling; Tharam Singh Dillon; Hung T. Nguyen 001 (Expert Syst. Appl., 2011)

Hybrid Fuzzy Logic-Based Particle Swarm Optimization for Flow shop Scheduling Problem. - Sai-Ho Ling; Frank Jiang 001; Hung T. Nguyen 001; Kit Yan Chan (Int. J. Comput. Intell. Appl., 2011)

The almost periodic solution of Lotka-Volterra recurrent neural networks with delays. - Yiguang Liu; Bingbing Liu; Sai-Ho Ling (Neurocomputing, 2011)

Playing Tic-Tac-Toe Using Genetic Neural Network with Double Transfer Functions. - Sai-Ho Ling; Hak-Keung Lam (J. Intell. Learn. Syst. Appl., 2011)

Genetic-Algorithm-Based Multiple Regression With Fuzzy Inference System for Detection of Nocturnal Hypoglycemic Episodes. - Sai-Ho Ling; Hung T. Nguyen 001 (IEEE Trans. Inf. Technol. Biomed., 2011)

A hypoglycemic episode diagnosis system based on neural networks for Type 1 diabetes mellitus. - Kit Yan Chan; Sai-Ho Ling; Hung T. Nguyen 001; Frank Jiang 001 (IEEE Congress on Evolutionary Computation, 2012)

Intelligent fuzzy particle swarm optimization with cross-mutated operation. - Sai-Ho Ling; Hung T. Nguyen 001; Frank H. F. Leung; Kit Yan Chan; Frank Jiang 001 (IEEE Congress on Evolutionary Computation, 2012)

Mental task classifications using prefrontal cortex electroencephalograph signals. - Rifai Chai; Sai-Ho Ling; Gregory P. Hunter; Hung T. Nguyen 001 (EMBC, 2012)

Toward fewer EEG channels and better feature extractor of non-motor imagery mental tasks classification for a wheelchair thought controller. - Rifai Chai; Sai-Ho Ling; Gregory P. Hunter; Hung T. Nguyen 001 (EMBC, 2012)

An adaptive strategy of classification for detecting hypoglycemia using only two EEG channels. - Lien B. Nguyen; Anh V. Nguyen; Sai-Ho Ling; Hung T. Nguyen 001 (EMBC, 2012)

Intelligent detection of hypoglycemic episodes in children with type 1 diabetes using adaptive neural-fuzzy inference system. - Phyo Phyo San; Sai-Ho Ling; Hung T. Nguyen 001 (EMBC, 2012)

An immunology-inspired multi-engine anomaly detection system with hybrid particle swarm optimisations. - Frank Jiang 001; Sai-Ho Ling; Kit Yan Chan; Zenon Chaczko; Frank Hung-Fat Leung; Michael R. Frater (FUZZ-IEEE, 2012)

Hybrid particle swarm - based fuzzy support vector machine for hypoglycemia detection. - Nuryani Nuryani; Sai-Ho Ling; Hung T. Nguyen 001 (FUZZ-IEEE, 2012)

Mental non-motor imagery tasks classifications of brain computer interface for wheelchair commands using genetic algorithm-based neural network. - Rifai Chai; Sai-Ho Ling; Gregory P. Hunter; Hung T. Nguyen 001 (IJCNN, 2012)

A particle swarm optimization-based neural network for detecting nocturnal hypoglycemia using electroencephalography signals. - Lien B. Nguyen; Anh V. Nguyen; Sai-Ho Ling; Hung T. Nguyen 001 (IJCNN, 2012)

Hybrid particle swarm optimization based normalized radial basis function neural network for hypoglycemia detection. - Phyo Phyo San; Sai-Ho Ling; Hung T. Nguyen 001 (IJCNN, 2012)

Predicting protein-ligand binding site with differential evolution and support vector machine. - Ginny Y. Wong; Frank Hung-Fat Leung; Sai-Ho Ling (IJCNN, 2012)

Natural occurrence of nocturnal hypoglycemia detection using hybrid particle swarm optimized fuzzy reasoning model. - Sai-Ho Ling; Hung T. Nguyen 001 (Artif. Intell. Medicine, 2012)

Non-Invasive nocturnal hypoglycemia Detection for insulin-Dependent Diabetes mellitus using Genetic Fuzzy Logic Method. - Steve S. H. Ling; Phyo Phyo San; Hung T. Nguyen 001; Frank H. F. Leung (Int. J. Comput. Intell. Appl., 2012)

Enhancement of Speech Recognitions for Control Automation Using an Intelligent Particle Swarm Optimization. - Kit Yan Chan; Ka Fai Cedric Yiu; Tharam S. Dillon; Sven Nordholm; Sai-Ho Ling (IEEE Trans. Ind. Informatics, 2012)

Classification of wheelchair commands using brain computer interface: comparison between able-bodied persons and patients with tetraplegia. - Rifai Chai; Sai-Ho Ling; Gregory P. Hunter; Yvonne Tran; Hung T. Nguyen 001 (EMBC, 2013)

Analyzing EEG signals under insulin-induced hypoglycemia in type 1 diabetes patients. - Lien B. Nguyen; Anh V. Nguyen; Sai-Ho Ling; Hung T. Nguyen 001 (EMBC, 2013)

Combining genetic algorithm and Levenberg-Marquardt algorithm in training neural network for hypoglycemia detection using EEG signals. - Lien B. Nguyen; Anh V. Nguyen; Sai-Ho Ling; Hung T. Nguyen 001 (EMBC, 2013)

A novel evolutionary preprocessing method based on over-sampling and under-sampling for imbalanced datasets. - Ginny Y. Wong; Frank H. F. Leung; Sai-Ho Ling (IECON, 2013)

Editorial: Special issue on hybrid evolutionary systems for manufacturing processes. - Kit Yan Chan; Tharam S. Dillon; Hak-Keung Lam; Sai-Ho Ling; Hung T. Nguyen 001 (Appl. Soft Comput., 2013)

Hypoglycaemia detection using fuzzy inference system with multi-objective double wavelet mutation Differential Evolution. - Johnny C. Y. Lai; Frank H. F. Leung; Steve S. H. Ling; Hung T. Nguyen 001 (Appl. Soft Comput., 2013)

Hybrid PSO-based variable translation wavelet neural network and its application to hypoglycemia detection system. - Phyo Phyo San; Sai-Ho Ling; Hung T. Nguyen 001 (Neural Comput. Appl., 2013)

Predicting Protein-Ligand Binding Site Using Support Vector Machine with Protein Properties. - Ginny Y. Wong; Frank Hung-Fat Leung; Sai-Ho Ling (IEEE ACM Trans. Comput. Biol. Bioinform., 2013)

Industrial Application of Evolvable Block-Based Neural Network to Hypoglycemia Monitoring System. - Phyo Phyo San; Sai-Ho Ling; Hung T. Nguyen 001 (IEEE Trans. Ind. Electron., 2013)

Non-invasive detection of hypoglycemic episodes in Type 1 diabetes using intelligent hybrid rough neural system. - Sai-Ho Ling; Phyo Phyo San; Hak-Keung Lam; Hung T. Nguyen 001 (IEEE Congress on Evolutionary Computation, 2014)

Enhancing accuracy of mental fatigue classification using advanced computational intelligence in an electroencephalography system. - Rifai Chai; Yvonne Tran; Ashley Craig; Sai-Ho Ling; Hung T. Nguyen 001 (EMBC, 2014)

A novel extreme learning machine for hypoglycemia detection. - Phyo Phyo San; Sai-Ho Ling; Soe Ni Ni; Hung T. Nguyen 001 (EMBC, 2014)

Relaxed stability conditions based on Taylor series membership functions for polynomial fuzzy-model-based control systems. - Chuang Liu 003; Hak-Keung Lam; Xian Zhang 002; Hongyi Li 001; Sai-Ho Ling (FUZZ-IEEE, 2014)

An under-sampling method based on fuzzy logic for large imbalanced dataset. - Ginny Y. Wong; Frank H. F. Leung; Sai-Ho Ling (FUZZ-IEEE, 2014)

Application on self-provisioning of communication network service using fuzzy particle swarm optimization. - Sai-Ho Ling; Frank Jiang 001 (ICARCV, 2014)

Editorial: Special issue on hybrid intelligent methods for health technologies. - Kit Yan Chan; Sai-Ho Ling; Tharam S. Dillon; Hung T. Nguyen 001; Tuan Nghia Nguyen 001; Vasile Palade; Xue-wen Chen 001 (Appl. Soft Comput., 2014)

Hypoglycaemia detection using fuzzy inference system with intelligent optimiser. - Johnny C. Y. Lai; Frank Hung-Fat Leung; Steve S. H. Ling (Appl. Soft Comput., 2014)

A study of neural-network-based classifiers for material classification. - Hak-Keung Lam; Udeme Ekong; Hongbin Liu 001; Bo Xiao 002; Hugo Araújo; Sai-Ho Ling; Kit Yan Chan (Neurocomputing, 2014)

An intelligent swarm based-wavelet neural network for affective mobile phone design. - Steve S. H. Ling; Phyo Phyo San; Kit Yan Chan; Frank H. F. Leung; Y. Liu (Neurocomputing, 2014)

Evolvable Rough-Block-Based Neural Network and its Biomedical Application to Hypoglycemia Detection System. - Phyo Phyo San; Sai-Ho Ling; Nuryani; Hung T. Nguyen 001 (IEEE Trans. Cybern., 2014)

Brain-Computer Interface Classifier for Wheelchair Commands Using Neural Network With Fuzzy Particle Swarm Optimization. - Rifai Chai; Sai-Ho Ling; Gregory P. Hunter; Yvonne Tran; Hung T. Nguyen 001 (IEEE J. Biomed. Health Informatics, 2014)

Classification of driver fatigue in an electroencephalography-based countermeasure system with source separation module. - Rifai Chai; Ganesh R. Naik; Yvonne Tran; Sai-Ho Ling; Ashley Craig; Hung T. Nguyen 001 (EMBC, 2015)

Comparing features extractors in EEG-based cognitive fatigue detection of demanding computer tasks. - Rifai Chai; Mitchell R. Smith; Tuan Nghia Nguyen 001; Sai-Ho Ling; Aaron J. Coutts; Hung T. Nguyen 001 (EMBC, 2015)

Variable weight neural networks and their applications on material surface and epilepsy seizure phase classifications. - Hak-Keung Lam; Udeme Ekong; Bo Xiao 002; Gaoxiang Ouyang; Hongbin Liu 001; Kit Yan Chan; Sai-Ho Ling (Neurocomputing, 2015)

A Stepwise-Based Fuzzy Regression Procedure for Developing Customer Preference Models in New Product Development. - Kit Yan Chan; Hak-Keung Lam; Tharam S. Dillon; Sai-Ho Ling (IEEE Trans. Fuzzy Syst., 2015)

Efficient diagnosis system for Parkinson's disease using deep belief network. - Ali H. Al-Fatlawi; Mohammed H. Jabardi; Sai-Ho Ling (CEC, 2016)

Selecting optimal EEG channels for mental tasks classification: An approach using ICA. - Rifai Chai; Ganesh R. Naik; Tuan Nghia Nguyen 001; Sai-Ho Ling; Yvonne Tran; Hung T. Nguyen 001 (CEC, 2016)

Classification of EEG based-mental fatigue using principal component analysis and Bayesian neural network. - Rifai Chai; Yvonne Tran; Ganesh R. Naik; Tuan Nghia Nguyen 001; Sai-Ho Ling; Ashley Craig; Hung T. Nguyen 001 (EMBC, 2016)

EEG-based driver fatigue detection using hybrid deep generic model. - Phyo Phyo San; Sai-Ho Ling; Rifai Chai; Yvonne Tran; Ashley Craig; Hung T. Nguyen 001 (EMBC, 2016)

Deep learning framework for detection of hypoglycemic episodes in children with type 1 diabetes. - Phyo Phyo San; Sai-Ho Ling; Hung T. Nguyen 001 (EMBC, 2016)

Identification of protein-ligand binding site using multi-clustering and Support Vector Machine. - Ginny Y. Wong; Frank Hung-Fat Leung; Steve S. H. Ling (IECON, 2016)

A hybrid Deep Boltzmann Functional Link Network for classification problems. - Ramasamy Savitha; Kit Yan Chan; Phyo Phyo San; Sai-Ho Ling; Suresh Sundaram 002 (SSCI, 2016)

Quality and robustness improvement for real world industrial systems using a fuzzy particle swarm optimization. - Sai-Ho Ling; Kit Yan Chan; Frank Hung-Fat Leung; Frank Jiang 001; Hung T. Nguyen 001 (Eng. Appl. Artif. Intell., 2016)

Classification of epilepsy seizure phase using interval type-2 fuzzy support vector machines. - Udeme Ekong; Hak-Keung Lam; Bo Xiao 002; Gaoxiang Ouyang; Hongbin Liu 001; Kit Yan Chan; Sai-Ho Ling (Neurocomputing, 2016)

A forward selection based fuzzy regression for new product development that correlates engineering characteristics with consumer preferences. - Kit Yan Chan; Sai-Ho Ling (J. Intell. Fuzzy Syst., 2016)

Recognition physical activities with optimal number of wearable sensors using data mining algorithms and deep belief network. - Ali H. Al-Fatlawi; Hayder K. Fatlawi; Sai-Ho Ling (EMBC, 2017)

Channels selection using independent component analysis and scalp map projection for EEG-based driver fatigue classification. - Rifai Chai; Ganesh R. Naik; Sai-Ho Ling; Yvonne Tran; Ashley Craig; Hung T. Nguyen 001 (EMBC, 2017)

Hypoglycemia detection: multiple regression-based combinational neural logic approach. - Sai-Ho Ling; Phyo Phyo San; Hak-Keung Lam; Hung T. Nguyen 001 (Soft Comput., 2017)

Driver Fatigue Classification With Independent Component by Entropy Rate Bound Minimization Analysis in an EEG-Based System. - Rifai Chai; Ganesh R. Naik; Tuan Nghia Nguyen 001; Sai-Ho Ling; Yvonne Tran; Ashley Craig; Hung T. Nguyen 001 (IEEE J. Biomed. Health Informatics, 2017)

Impact of Reactive Obstacle on Molecular Communication between Nanomachines. - Muneer M. Al-Zu'bi; Ananda Sanagavarapu Mohan; Steve S. H. Ling (EMBC, 2018)

Classification of Cardiovascular Disease via A New SoftMax Model. - Long Hao; Sai-Ho Ling; Frank Jiang 001 (EMBC, 2018)

Feature Selection for the Detection of Sleep Apnea using Multi-Bio Signals from Overnight Polysomnography. - Xilin Li; Ahmed Al-Ani; Sai-Ho Ling (EMBC, 2018)

Using Multi-level Convolutional Neural Network for Classification of Lung Nodules on CT images. - Juan Lyu; Sai-Ho Ling (EMBC, 2018)

Advanced Particle Swarm Optimization Algorithm with Improved Velocity Update Strategy. - Talha Ali Khan; Sai-Ho Ling; Ananda Sanagavarapu Mohan (SMC, 2018)

A hybrid evolutionary preprocessing method for imbalanced datasets. - Ginny Y. Wong; Frank Hung-Fat Leung; Sai-Ho Ling (Inf. Sci., 2018)

Influence of Tissue Anisotropy on Molecular Communication. - Muneer M. Al-Zu'bi; Ananda Sanagavarapu Mohan; Steve S. H. Ling (EMBC, 2019)

Lung Nodule Classification using A Novel Two-stage Convolutional Neural Networks Structure'. - Yang An; Tianren Hu; Jiaqi Wang; Juan Lyu; Sunetra Banerjee; Sai-Ho Ling (EMBC, 2019)

Combining ICA Clustering and Power Spectral Density for Feature Extraction of Mental Fatigue of Spinal Cord Injury Patients. - Rifai Chai; Yvonne Tran; Sai-Ho Ling; Ashley Craig; Hung T. Nguyen 001 (EMBC, 2019)

Classification of EEG Motor Imagery Tasks Using Convolution Neural Networks. - Sai-Ho Ling; Henry Makgawinata; Fernando Huerta Monsivais; Andre dos Santos Goncalves Lourenco; Juan Lyu; Rifai Chai (EMBC, 2019)

3D Ultrasound Spine Image Selection Using Convolution Learning-to-Rank Algorithm. - Juan Lyu; Sai-Ho Ling; Sunetra Banerjee; Jenny J. Y. Zheng; Ka-Lee Lai; De Yang; Yong-Ping Zheng; Steven W. Su (EMBC, 2019)

Advanced Gravitational Search Algorithm with Modified Exploitation Strategy. - Talha Ali Khan; Sai-Ho Ling; Ananda Sanagavarapu Mohan (SMC, 2019)

A Hybrid Advanced PSO-Neural Network System. - Talha Ali Khan; Khawaja Zain-Ul-Abideen; Sai-Ho Ling (SMC, 2019)

Review on Electrical Impedance Tomography: Artificial Intelligence Methods and its Applications. - Talha Ali Khan; Sai-Ho Ling (Algorithms, 2019)

Evolutionary Algorithms in Health Technologies. - Sai-Ho Ling; Hak-Keung Lam (Algorithms, 2019)

Multi-level CNN for lung nodule classification with Gaussian Process assisted hyperparameter optimization. - Miao Zhang; Huiqi Li; Juan Lyu; Sai-Ho Ling; Steven W. Su (CoRR, 2019)

Air Quality Monitoring for Vulnerable Groups in Residential Environments Using a Multiple Hazard Gas Detector. - Yujiao Wu; Taoping Liu; Sai-Ho Ling; Jan Szymanski; Wentian Zhang; Steven Weidong Su (Sensors, 2019)

Automatic Segmentation of 3D Ultrasound Spine Curvature Using Convolutional Neural Network. - Sunetra Banerjee; Sai-Ho Ling; Juan Lyu; Steven W. Su; Yong-Ping Zheng (EMBC, 2020)

A Per-sample Digitized Algorithm for Automatically Detecting Apnea and Hypopnea Events from Airflow and Oximetry. - Md B. Uddin; Chin Moi Chow; Sai-Ho Ling; Steven W. Su (EMBC, 2020)

Bone Feature Segmentation in Ultrasound Spine Image with Robustness to Speckle and Regular Occlusion Noise. - Zixun Huang; Li-Wen Wang; Frank H. F. Leung; Sunetra Banerjee; De Yang; Timothy Tin-Yan Lee; Juan Lyu; Sai-Ho Ling; Yong-Ping Zheng (SMC, 2020)

VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images. - Anjany Sekuboyina; Malek El Husseini; Amirhossein Bayat; Maximilian Löffler; Hans Liebl; Hongwei Li 004; Giles Tetteh; Jan Kukacka; Christian Payer; Darko Stern; Martin Urschler; Maodong Chen; et al. (CoRR, 2020)

Design of meta-heuristic computing paradigms for Hammerstein identification systems in electrically stimulated muscle models. - Ammara Mehmood; Aneela Zameer; Naveed Ishtiaq Chaudhary; Sai Ho Ling; Muhammad Asif Zahoor Raja (Neural Comput. Appl., 2020)

Integrated computational intelligent paradigm for nonlinear electric circuit models using neural networks, genetic algorithms and sequential quadratic programming. - Ammara Mehmood; Aneela Zameer; Sai Ho Ling; Ata ur Rehman; Muhammad Asif Zahoor Raja (Neural Comput. Appl., 2020)

A Hybrid Feature Selection and Extraction Methods for Sleep Apnea Detection Using Bio-Signals. - Xilin Li; Sai-Ho Ling; Steven W. Su (Sensors, 2020)

Multi-Level Cross Residual Network for Lung Nodule Classification. - Juan Lyu; Xiaojun Bi 002; Sai-Ho Ling (Sensors, 2020)

UAV Swarm Mission Planning in Dynamic Environment Using Consensus-Based Bundle Algorithm. - Yaozhong Zhang; Wencheng Feng; Guoqing Shi; Frank Jiang 001; Morshed U. Chowdhury; Sai-Ho Ling (Sensors, 2020)

Structure-Enhanced Attentive Learning For Spine Segmentation From Ultrasound Volume Projection Images. - Rui Zhao 012; Zixun Huang; Tianshan Liu; Frank H. F. Leung; Sai Ho Ling; De Yang; Timothy Tin-Yan Lee; Daniel Pak-Kong Lun; Yong-Ping Zheng; Kin-Man Lam 001 (ICASSP, 2021)

DA-GAN: Learning Structured Noise Removal In Ultrasound Volume Projection Imaging For Enhanced Spine Segmentation. - Zixun Huang; Rui Zhao 012; Frank H. F. Leung; Kin-Man Lam 001; Sai-Ho Ling; Juan Lyu; Sunetra Banerjee; Timothy Tin-Yan Lee; De Yang; Yong-Ping Zheng (ISBI, 2021)

DeepMMSA: A Novel Multimodal Deep Learning Method for Non-small Cell Lung Cancer Survival Analysis. - Yujiao Wu; Jie Ma; Xiaoshui Huang; Sai Ho Ling; Steven Weidong Su (SMC, 2021)

Edge Artificial Intelligence: Real-Time Noninvasive Technique for Vital Signs of Myocardial Infarction Recognition Using Jetson Nano. - H. M. Mohan; S. Anitha; Rifai Chai; Sai Ho Ling (Adv. Hum. Comput. Interact., 2021)

Guest editorial: Machine Learning in Wireless Networks. - Anil Kumar Budati; Steve S. H. Ling (CAAI Trans. Intell. Technol., 2021)

A neuron image segmentation method based Deep Boltzmann Machine and CV model. - Fuyun He; Xiaoming Huang; Xun Wang; Senhui Qiu; Frank Jiang 001; Sai-Ho Ling (Comput. Medical Imaging Graph., 2021)

Dual-task ultrasound spine transverse vertebrae segmentation network with contour regularization. - Juan Lyu; Xiaojun Bi 002; Sunetra Banerjee; Zixun Huang; Frank H. F. Leung; Timothy Tin-Yan Lee; De Yang; Yong-Ping Zheng; Sai-Ho Ling (Comput. Medical Imaging Graph., 2021)

Ultrasound volume projection image quality selection by ranking from convolutional RankNet. - Juan Lyu; Sai-Ho Ling; Sunetra Banerjee; J. Y. Zheng; Ka-Lee Lai; De Yang; Yong-Ping Zheng; Xiaojun Bi 002; Steven W. Su; Uphar Chamoli (Comput. Medical Imaging Graph., 2021)

A novel hybrid gravitational search particle swarm optimization algorithm. - Talha Ali Khan; Sai-Ho Ling (Eng. Appl. Artif. Intell., 2021)

Guest Editorial: Artificial-intelligence-based network security and computing technologies in wireless networks. - Budati Anil Kumar; Sai Ho Ling; Peter Ho Chiung Ching; Shuichi Torii (IET Networks, 2021)

VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images. - Anjany Sekuboyina; Malek El Husseini; Amirhossein Bayat; Maximilian Löffler; Hans Liebl; Hongwei Li 004; Giles Tetteh; Jan Kukacka; Christian Payer; Darko Stern; Martin Urschler; Maodong Chen; et al. (Medical Image Anal., 2021)

Hybrid Random Forest and Support Vector Machine Modeling for HVAC Fault Detection and Diagnosis. - Wunna Tun; Johnny Kwok-Wai Wong; Sai-Ho Ling (Sensors, 2021)

Convolutional Neural Networks-Based Lung Nodule Classification: A Surrogate-Assisted Evolutionary Algorithm for Hyperparameter Optimization. - Miao Zhang; Huiqi Li; Shirui Pan; Juan Lyu; Steve S. H. Ling; Steven W. Su (IEEE Trans. Evol. Comput., 2021)

Multi-classification for EEG Motor Imagery Signals using Auto-selected Filter Bank Regularized Common Spatial Pattern. - Yang An; Sang Hun Han; Sai Ho Ling (ISMICT, 2022)

An Improved SLIC Algorithm for Segmentation of Microscopic Cell Images. - Fuyun He; M. A. Parvez Mahmud; Abbas Z. Kouzani; Adnan Anwar; Frank Jiang 001; Sai Ho Ling (Biomed. Signal Process. Control., 2022)

Automatic Autism Spectrum Disorder Detection Using Artificial Intelligence Methods with MRI Neuroimaging: A Review. - Parisa Moridian; Navid Ghassemi; Mahboobeh Jafari; Salam Salloum-Asfar; Delaram Sadeghi; Marjane Khodatars; Afshin Shoeibi; Abbas Khosravi; Sai Ho Ling; Abdulhamit Subasi; Sara A. Abdulla; Roohallah Alizadehsani; et al. (CoRR, 2022)

Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence. - Mahboobeh Jafari; Afshin Shoeibi; Navid Ghassemi; Jónathan Heras; Abbas Khosravi; Sai Ho Ling; Roohallah Alizadehsani; Amin Beheshti; Yu-Dong Zhang 001; Shui-Hua Wang; Juan Manuel Górriz; U. Rajendra Acharya; et al. (CoRR, 2022)

Multimodal Learning for Non-small Cell Lung Cancer Prognosis. - Yujiao Wu; Yaxiong Wang; Xiaoshui Huang; Fan Yang 129; Sai Ho Ling; Steven Weidong Su (CoRR, 2022)

Intrabody Molecular Communication via Blood-Tissue Barrier for Internet of Bio-Nano Things. - Muneer M. Al-Zu'bi; Ananda Sanagavarapu Mohan; Peter W. Plapper; Sai Ho Ling (IEEE Internet Things J., 2022)

Auto-Denoising for EEG Signals Using Generative Adversarial Network. - Yang An; Hak-Keung Lam; Sai Ho Ling (Sensors, 2022)

Sleep Apnea Detection Using Multi-Error-Reduction Classification System with Multiple Bio-Signals. - Xilin Li; Frank H. F. Leung; Steven W. Su; Sai Ho Ling (Sensors, 2022)

Joint Spine Segmentation and Noise Removal From Ultrasound Volume Projection Images With Selective Feature Sharing. - Zixun Huang; Rui Zhao 012; Frank H. F. Leung; Sunetra Banerjee; Timothy Tin-Yan Lee; De Yang; Daniel Pak-Kong Lun; Kin-Man Lam 001; Yong-Ping Zheng; Sai Ho Ling (IEEE Trans. Medical Imaging, 2022)

Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works. - Parisa Moridian; Afshin Shoeibi; Marjane Khodatars; Mahboobeh Jafari; Ram Bilas Pachori; Ali Khadem; Roohallah Alizadehsani; Sai Ho Ling (WIREs Data Mining Knowl. Discov., 2022)

A Structure-Affinity Dual Attention-based Network to Segment Spine for Scoliosis Assessment. - Hao Xie; Zixun Huang; Frank H. F. Leung; Yakun Ju; Yong-Ping Zheng; Sai Ho Ling (BIBM, 2023)

An Experimental HVAC Faults Data Generation and Detection Using One-Dimensional Convolutional Neural Networks. - Wunna Tun; Johnny Kwok-Wai Wong; Sai Ho Ling (CASE, 2023)

An EEG-based brain-computer interface for real-time multi-task robotic control. - Yang An; Johnny Kwok-Wai Wong; Sai Ho Ling (EMBC, 2023)

Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review. - Afshin Shoeibi; Marjane Khodatars; Mahboobeh Jafari; Navid Ghassemi; Parisa Moridian; Roohallah Alizadehsani; Sai Ho Ling; Abbas Khosravi; Hamid Alinejad-Rokny; Hak-Keung Lam; Matthew Fuller-Tyszkiewicz; U. Rajendra Acharya; et al. (Inf. Fusion, 2023)

Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review. - Mahboobeh Jafari; Afshin Shoeibi; Marjane Khodatars; Navid Ghassemi; Parisa Moridian; Roohallah Alizadehsani; Abbas Khosravi; Sai Ho Ling; Niloufar Delfan; Yudong Zhang 001; Shui-Hua Wang; Juan Manuel Górriz; et al. (Comput. Biol. Medicine, 2023)

Multi-classification for EEG motor imagery signals using data evaluation-based auto-selected regularized FBCSP and convolutional neural network. - Yang An; Hak-Keung Lam; Sai Ho Ling (Neural Comput. Appl., 2023)

Advancing Fault Detection in HVAC Systems: Unifying Gramian Angular Field and 2D Deep Convolutional Neural Networks for Enhanced Performance. - Wunna Tun; Johnny Kwok-Wai Wong; Sai-Ho Ling (Sensors, 2023)

Optimisation of electrical Impedance tomography image reconstruction error using heuristic algorithms. - Talha Ali Khan; Sai Ho Ling; Arslan A. Rizvi (Artif. Intell. Rev., 2023)

Joint Semantic Feature and Optical Flow Learning for Automatic Echocardiography Segmentation. - Juan Lyu; Jinpeng Meng; Yu Zhang 038; Sai Ho Ling; Lin Sun 002 (ICIC (7), 2024)

SATR: A Structure-Affinity Attention-Based Transformer Encoder for Spine Segmentation. - Hao Xie; Zixun Huang; Frank H. F. Leung; Ngai-Fong Law; Yakun Ju; Yong-Ping Zheng; Sai Ho Ling (ISBI, 2024)

Development of real-time brain-computer interface control system for robot. - Yang An; Johnny Wong 002; Sai Ho Ling (Appl. Soft Comput., 2024)

Exploring the frontier: Transformer-based models in EEG signal analysis for brain-computer interfaces. - Maximilian Achim Pfeffer; Steve S. H. Ling; Johnny Kwok-Wai Wong (Comput. Biol. Medicine, 2024)

Stability Analysis of Dynamic General Type-2 Fuzzy Control System With Uncertainty. - Zahra Namadchian; Afshin Shoeibi; Assef Zare; Juan Manuel Górriz; Hak-Keung Lam; Sai Ho Ling (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Identification of fractional Hammerstein model for electrical stimulated muscle: An application of fuzzy-weighted differential evolution. - Ammara Mehmood; Muhammad Asif Zahoor Raja; Mahdi Jalili; Sai Ho Ling (Biomed. Signal Process. Control., 2024)

Next-Gen Medical Imaging: U-Net Evolution and the Rise of Transformers. - Chen Zhang; Xiangyao Deng; Sai Ho Ling (Sensors, 2024)

Landmark Localization From Medical Images With Generative Distribution Prior. - Zixun Huang; Rui Zhao 012; Frank H. F. Leung; Sunetra Banerjee; Kin-Man Lam 001; Yong-Ping Zheng; Sai Ho Ling (IEEE Trans. Medical Imaging, 2024)

A Improved Hybrid Attention Recurrent Residual U-Net approach for the segmentation of ultrasound spine images. - Leonor Cohen Monteiro; Yongping Zheng; Sai Ho Ling (Biomed. Signal Process. Control., 2025)

Evolving optimized transformer-hybrid systems for robust BCI signal processing using genetic algorithms. - Maximilian Achim Pfeffer; Anh Hoang Phuc Nguyen; Kyunghun Kim; Johnny Kwok-Wai Wong; Sai Ho Ling (Biomed. Signal Process. Control., 2025)

Multimodal learning for non-small cell lung cancer prognosis. - Yujiao Wu; Yaxiong Wang; Xiaoshui Huang; Haofei Wang; Fan Yang 129; Wenwen Sun; Steven W. Su; Sai Ho Ling (Biomed. Signal Process. Control., 2025)