Kit Yan Chan

Affiliations:
  • Curtin University, Department of Electrical and Computer Engineering, Perth, Australia


According to our database1, Kit Yan Chan authored at least 133 papers between 2003 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2021
Joint optimization for throughput maximization in underwater acoustic networks with energy harvesting.
Peer-to-Peer Netw. Appl., 2021

Energy-efficiency maximization in D2D-enabled vehicular communications with consideration of dynamic channel information and fairness.
Peer-to-Peer Netw. Appl., 2021

Resource Allocation Based on User Pairing and Subcarrier Matching for Downlink Non-Orthogonal Multiple Access Networks.
IEEE CAA J. Autom. Sinica, 2021

Analyzing imbalanced online consumer review data in product design using geometric semantic genetic programming.
Eng. Appl. Artif. Intell., 2021

Relational Learning Analysis of Social Politics using Knowledge Graph Embedding.
Data Min. Knowl. Discov., 2021

Semantic data discovery from Social Big Data.
CoRR, 2021

Predictive analytics using Social Big Data and machine learning.
CoRR, 2021

Credibility Analysis in Social Big Data.
CoRR, 2021

Introduction to Big data Technology.
CoRR, 2021

Social Big Data: An Overview and Applications.
CoRR, 2021

Pricing-based interference management scheme in LTE-V2V communication with imperfect channel state information.
Comput. Commun., 2021

Robust energy efficient maximization in wireless powered CRNs based on power splitting.
Comput. Networks, 2021

Ball bonding inspections using a conjoint framework with machine learning and human judgement.
Appl. Soft Comput., 2021

2020
Energy-Spectral Efficiency Optimization in Vehicular Communications: Joint Clustering and Pricing-Based Robust Power Control Approach.
IEEE Trans. Veh. Technol., 2020

Rate Maximization for Hybrid Access Femtocell Networks With Outage Constraints Based on Pricing Incentive Mechanism.
IEEE Trans. Veh. Technol., 2020

Guest Editorial: Blockchain and AI Enabled 5G Mobile Edge Computing.
IEEE Trans. Ind. Informatics, 2020

Approach of Robust Resource Allocation in Cognitive Radio Network With Spectrum Leasing.
IEEE Trans. Green Commun. Netw., 2020

Jump detection in financial time series using machine learning algorithms.
Soft Comput., 2020

Robust Power Control for Clustering-Based Vehicle-to-Vehicle Communication.
IEEE Syst. J., 2020

Joint power and subcarrier allocation for SWIPT in cognitive relay system.
Phys. Commun., 2020

Time-aware domain-based social influence prediction.
J. Big Data, 2020

Affective design using machine learning: a survey and its prospect of conjoining big data.
Int. J. Comput. Integr. Manuf., 2020

Predicting customer satisfaction based on online reviews and hybrid ensemble genetic programming algorithms.
Eng. Appl. Artif. Intell., 2020

A novel strategy for classifying perceived video quality using electroencephalography signals.
Eng. Appl. Artif. Intell., 2020

An Approach for Time-aware Domain-based Social Influence Prediction.
CoRR, 2020

Optimization of base station density and user transmission power in multi-tier heterogeneous cellular systems.
Comput. Commun., 2020

Energy-efficient resource allocation in wireless powered CCRNs with simultaneous wireless information and power transfer.
Comput. Commun., 2020

Robust resource allocation in two-tier NOMA heterogeneous networks toward 5G.
Comput. Networks, 2020

A Social Media Analytical Framework Incorporating Fuzzy Regression for Affective Design.
Proceedings of the International Conference on System Science and Engineering, 2020

2019
Chance-Constrained Optimization in D2D-Based Vehicular Communication Network.
IEEE Trans. Veh. Technol., 2019

A learning strategy for developing neural networks using repetitive observations.
Soft Comput., 2019

A three dimensional tracking scheme for underwater non-cooperative objects in mixed LOS and NLOS environment.
Peer-to-Peer Netw. Appl., 2019

CredSaT: Credibility ranking of users in big social data incorporating semantic analysis and temporal factor.
J. Inf. Sci., 2019

Fuzzy System with Customized Subset Selection for Financial Trading Applications.
Int. J. Fuzzy Syst., 2019

Resource allocation strategy against selfishness in cognitive radio <i>ad-hoc</i> network based on Stackelberg game.
IET Commun., 2019

Robust energy-efficient power allocation and relay selection for cooperative relay networks.
Comput. Commun., 2019

Robust resource allocation for rates maximization using fuzzy estimation of dynamic channel states in OFDMA femtocell networks.
Comput. Networks, 2019

Robust Power Allocation for Femtocell Networks Using Fuzzy Estimation of Dynamic Channel States.
IEEE Access, 2019

Social Credibility Incorporating Semantic Analysis and Machine Learning: A Survey of the State-of-the-Art and Future Research Directions.
Proceedings of the Web, Artificial Intelligence and Network Applications, 2019

2018
T-S Fuzzy-Model-Based Output Feedback Tracking Control With Control Input Saturation.
IEEE Trans. Fuzzy Syst., 2018

A robust power control scheme for femtocell networks with probability constraint of channel gains.
Peer-to-Peer Netw. Appl., 2018

Twitter mining for ontology-based domain discovery incorporating machine learning.
J. Knowl. Manag., 2018

State-of-the-Art Ontology Annotation for Personalised Teaching and Learning and Prospects for Smart Learning Recommender Based on Multiple Intelligence and Fuzzy Ontology.
Int. J. Fuzzy Syst., 2018

A Novel Multivariate Volatility Modeling for Risk Management in Stock Markets.
Int. J. Fuzzy Syst., 2018

Editorial Message: Special Issue on Efficient Fuzzy Systems for Mining Large Scale, Imprecise, Uncertain and Vague Data.
Int. J. Fuzzy Syst., 2018

Editorial for Special Issue on "Hybrid Evolutionary and Swarm Techniques for Big Data Analytics and Applications".
Big Data Res., 2018

2017
A Flexible Fuzzy Regression Method for Addressing Nonlinear Uncertainty on Aesthetic Quality Assessments.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Varying Spread Fuzzy Regression for Affective Quality Estimation.
IEEE Trans. Fuzzy Syst., 2017

Robust power optimization scheme for cooperative wireless relay system in smart city.
Softw. Pract. Exp., 2017

Psychophysiology-Based QoE Assessment: A Survey.
IEEE J. Sel. Top. Signal Process., 2017

Approach for power allocation in two-tier femtocell networks based on robust non-cooperative game.
IET Commun., 2017

An edge detection framework conjoining with IMU data for assisting indoor navigation of visually impaired persons.
Expert Syst. Appl., 2017

Utilizing neural network and critical band processing for speech enhancement.
Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017

2016
A forward selection based fuzzy regression for new product development that correlates engineering characteristics with consumer preferences.
J. Intell. Fuzzy Syst., 2016

Classification of epilepsy seizure phase using interval type-2 fuzzy support vector machines.
Neurocomputing, 2016

Quality and robustness improvement for real world industrial systems using a fuzzy particle swarm optimization.
Eng. Appl. Artif. Intell., 2016

Artificial intelligence techniques in product engineering.
Eng. Appl. Artif. Intell., 2016

A hybrid Deep Boltzmann Functional Link Network for classification problems.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2015
A Stepwise-Based Fuzzy Regression Procedure for Developing Customer Preference Models in New Product Development.
IEEE Trans. Fuzzy Syst., 2015

Variable weight neural networks and their applications on material surface and epilepsy seizure phase classifications.
Neurocomputing, 2015

Fuzzy regression for perceptual image quality assessment.
Eng. Appl. Artif. Intell., 2015

Deblurring Filter Design Based on Fuzzy Regression Modeling and Perceptual Image Quality Assessment.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

2014
A Decision-Directed Adaptive Gain Equalizer for Assistive Hearing Instruments.
IEEE Trans. Instrum. Meas., 2014

A Hybrid Descent Method for Optimal Sigmoid Filter Design.
IEEE Signal Process. Lett., 2014

An intelligent swarm based-wavelet neural network for affective mobile phone design.
Neurocomputing, 2014

A study of neural-network-based classifiers for material classification.
Neurocomputing, 2014

Computational intelligence techniques for new product development.
Neurocomputing, 2014

A fuzzy ordinary regression method for modeling customer preference in tea maker design.
Neurocomputing, 2014

A hybrid noise suppression filter for accuracy enhancement of commercial speech recognizers in varying noisy conditions.
Appl. Soft Comput., 2014

Editorial: Special issue on hybrid intelligent methods for health technologies.
Appl. Soft Comput., 2014

Image deblurring for navigation systems of vision impaired people using sensor fusion data.
Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, 2014

Traffic flow prediction using orthogonal arrays and Takagi-Sugeno neural fuzzy models.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Image deblurring using a hybrid optimization algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
On-Road Sensor Configuration Design for Traffic Flow Prediction Using Fuzzy Neural Networks and Taguchi Method.
IEEE Trans. Instrum. Meas., 2013

An Intelligent Particle Swarm Optimization for Short-Term Traffic Flow Forecasting Using on-Road Sensor Systems.
IEEE Trans. Ind. Electron., 2013

Prediction of Short-Term Traffic Variables Using Intelligent Swarm-Based Neural Networks.
IEEE Trans. Control. Syst. Technol., 2013

Speech enhancement strategy for speech recognition microcontroller under noisy environments.
Neurocomputing, 2013

Identification of significant factors for air pollution levels using a neural network based knowledge discovery system.
Neurocomputing, 2013

Editorial: Special issue on hybrid evolutionary systems for manufacturing processes.
Appl. Soft Comput., 2013

A Fuzzy Clustering Approach for Determination of Ideal Points of New Products.
Proceedings of the Seventh International Conference on Complex, 2013

2012
Computational Intelligence Techniques for New Product Design
Studies in Computational Intelligence 403, Springer, ISBN: 978-3-642-27475-6, 2012

Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg-Marquardt Algorithm.
IEEE Trans. Intell. Transp. Syst., 2012

Enhancement of Speech Recognitions for Control Automation Using an Intelligent Particle Swarm Optimization.
IEEE Trans. Ind. Informatics, 2012

Selection of Significant On-Road Sensor Data for Short-Term Traffic Flow Forecasting Using the Taguchi Method.
IEEE Trans. Ind. Informatics, 2012

Market segmentation and ideal point identification for new product design using fuzzy data compression and fuzzy clustering methods.
Appl. Soft Comput., 2012

Multichannel filters for speech recognition using a particle swarm optimization.
Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012

An immunology-inspired multi-engine anomaly detection system with hybrid particle swarm optimisations.
Proceedings of the FUZZ-IEEE 2012, 2012

Intelligent fuzzy particle swarm optimization with cross-mutated operation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

A hypoglycemic episode diagnosis system based on neural networks for Type 1 diabetes mellitus.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Optimization of neural network configurations for short-term traffic flow forecasting using orthogonal design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Modeling of a Liquid Epoxy Molding Process Using a Particle Swarm Optimization-Based Fuzzy Regression Approach.
IEEE Trans. Ind. Informatics, 2011

Polynomial modeling for time-varying systems based on a particle swarm optimization algorithm.
Inf. Sci., 2011

Hybrid Fuzzy Logic-Based Particle Swarm Optimization for Flow shop Scheduling Problem.
Int. J. Comput. Intell. Appl., 2011

Diagnosis of hypoglycemic episodes using a neural network based rule discovery system.
Expert Syst. Appl., 2011

Reducing overfitting in manufacturing process modeling using a backward elimination based genetic programming.
Appl. Soft Comput., 2011

Permutation flow shop scheduling: Fuzzy particle swarm optimization approach.
Proceedings of the FUZZ-IEEE 2011, 2011

Manufacturing modeling using an evolutionary fuzzy regression.
Proceedings of the FUZZ-IEEE 2011, 2011

Determination of process conditions of epoxy dispensing processes using a genetic algorithm based neural fuzzy networks.
Proceedings of the FUZZ-IEEE 2011, 2011

2010
Modeling manufacturing processes using a genetic programming-based fuzzy regression with detection of outliers.
Inf. Sci., 2010

A new orthogonal array based crossover, with analysis of gene interactions, for evolutionary algorithms and its application to car door design.
Expert Syst. Appl., 2010

Modelling and optimization of fluid dispensing for electronic packaging using neural fuzzy networks and genetic algorithms.
Eng. Appl. Artif. Intell., 2010

Using an evolutionary fuzzy regression for affective product design.
Proceedings of the FUZZ-IEEE 2010, 2010

Genetic algorithm based fuzzy multiple regression for the nocturnal Hypoglycaemia detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Determination of chemo-responses for osteosarcoma using a hybrid evolutionary algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Classification of hypoglycemic episodes for Type 1 diabetes mellitus based on neural networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Polynomial modeling for manufacturing processes using a backward elimination based genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
A methodology of generating customer satisfaction models for new product development using a neuro-fuzzy approach.
Expert Syst. Appl., 2009

A genetic algorithm based knowledge discovery system for the design of fluid dispensing processes for electronic packaging.
Expert Syst. Appl., 2009

Improved orthogonal array based simulated annealing for design optimization.
Expert Syst. Appl., 2009

A New Particle Swarm Optimization Algorithm for Neural Network Optimization.
Proceedings of the Third International Conference on Network and System Security, 2009

Speech Recognition Enhancement Using Beamforming and a Genetic Algorithm.
Proceedings of the Third International Conference on Network and System Security, 2009

An integrated approach of particle swarm optimization and support vector machine for gene signature selection and cancer prediction.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Hybrid Particle Swarm Optimization With Wavelet Mutation and Its Industrial Applications.
IEEE Trans. Syst. Man Cybern. Part B, 2008

Improved Hybrid Particle Swarm Optimized Wavelet Neural Network for Modeling the Development of Fluid Dispensing for Electronic Packaging.
IEEE Trans. Ind. Electron., 2008

The Hybrid Fuzzy Least-Squares Regression Approach to Modeling ManufacturingProcesses.
IEEE Trans. Fuzzy Syst., 2008

Genetic Algorithms with Dynamic Mutation Rates and their Industrial Applications.
Int. J. Comput. Intell. Appl., 2008

Takagi-Sugeno neural fuzzy modeling approach to fluid dispensing for electronic packaging.
Expert Syst. Appl., 2008

Investigation of Hybrid Particle Swarm Optimization Methods for Solving Transient-Stability Constrained Optimal Power Flow Problems.
Eng. Lett., 2008

Modelling the development of fluid dispensing for electronic packaging: Hybrid Particle Swarm Optimization based-wavelet neural network approach.
Proceedings of the International Joint Conference on Neural Networks, 2008

Gene signature selection for cancer prediction using an integrated approach of genetic algorithm and support vector machine.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Hybrid Particle Swarm Optimization Methods for Solving Transient-Stability Constrained Optimal Power Flow Problems.
Proceedings of the World Congress on Engineering, 2007

A new hybrid Particle Swarm Optimization with wavelet theory based mutation operation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

A GA-based data mining approach to process improvement of fluid dispensing for electronic packaging.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Solving multi-contingency transient stability constrained optimal power flow problems with an improved GA.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Experimental design techniques in evolutionary algorithms.
PhD thesis, 2006

Main Effect Fine-tuning of the Mutation Operator and the Neighbourhood Function for Uncapacitated Facility Location Problems.
Soft Comput., 2006

2004
An Evolutionary Algorithm for the Input-Output Block Assignment Problem.
Proceedings of the Genetic Programming, 7th European Conference, 2004

Parameterisation of mutation in evolutionary algorithms using the estimated main effect of genes.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

An empirical study on the performance of factorial design based crossover on parametrical problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
Experimental Design Based Multi-parent Crossover Operator.
Proceedings of the Genetic Programming, 6th European Conference, EuroGP 2003, 2003

New Factorial Design Theoretic Crossover Operator for Parametrical Problem.
Proceedings of the Genetic Programming, 6th European Conference, EuroGP 2003, 2003

A Taguchi method-based crossover operator for the parametrical problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

An epistasis measure based on the analysis of variance for the real-coded representation in genetic algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003


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