Kit Yan Chan
Orcid: 0000-0003-4949-7647Affiliations:
- Curtin University, Department of Electrical and Computer Engineering, Perth, Australia
According to our database1,
Kit Yan Chan
authored at least 159 papers
between 2001 and 2024.
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Bibliography
2024
Underwater Acoustic Orthogonal Frequency-Division Multiplexing Communication Using Deep Neural Network-Based Receiver: River Trial Results.
Sensors, September, 2024
Neural Comput. Appl., August, 2024
Energy-Efficient Data Collection Scheme Based on Value of Information in Underwater Acoustic Sensor Networks.
IEEE Internet Things J., May, 2024
Fuzzy Clustering-Based Deep Learning for Short-Term Load Forecasting in Power Grid Systems Using Time-Varying and Time-Invariant Features.
Sensors, March, 2024
Wi-Fi fingerprint-based indoor location: Multiple fingerprints and multiple classifiers with two-layer fusion weights.
Int. J. Commun. Syst., 2024
Resource management for computational offload in MEC networks with energy harvesting and relay assistance.
Comput. Commun., 2024
Deep Machine Learning-Based Asset Management Approach for Oil- Immersed Power Transformers Using Dissolved Gas Analysis.
IEEE Access, 2024
Some Considerations for the Preservation of Endangered Languages Using Low-Resource Machine Translation.
Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024
2023
Improving Text-Independent Forced Alignment to Support Speech-Language Pathologists with Phonetic Transcription.
Sensors, December, 2023
Dynamic Resource Allocation in Queue-Constrained and Delay-Sensitive Vehicular Networks.
IEEE Trans. Intell. Veh., October, 2023
Conjoining congestion speed-cycle patterns and deep learning neural network for short-term traffic speed forecasting.
Appl. Soft Comput., May, 2023
Energy minimization by dynamic base station switching in heterogeneous cellular network.
Wirel. Networks, February, 2023
Deep neural networks in the cloud: Review, applications, challenges and research directions.
Neurocomputing, 2023
Comput. Commun., 2023
Comput. Networks, 2023
Outage probability minimization for vehicular networks via joint clustering, UAV trajectory optimization and power allocation.
Ad Hoc Networks, 2023
2022
Joint Optimization of Edge Computing Resource Pricing and Wireless Caching for Blockchain-Driven Networks.
IEEE Trans. Veh. Technol., 2022
A genetic programming-based convolutional neural network for image quality evaluations.
Neural Comput. Appl., 2022
Model variational consumer preferences based on online reviews using sentiment analysis and PSO-based DENFIS approaches.
J. Intell. Fuzzy Syst., 2022
IEEE Internet Things J., 2022
Maximizing lower bound of energy efficiency in multi-tier heterogeneous cellular network via stochastic geometry.
Comput. Commun., 2022
Dynamic power allocation in cellular network based on multi-agent double deep reinforcement learning.
Comput. Networks, 2022
Power allocation in D2D enabled cellular network with probability constraints: A robust Stackelberg game approach.
Ad Hoc Networks, 2022
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022
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
Data Min. Knowl. Discov., 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
IEEE Trans. Ind. Informatics, 2020
Approach of Robust Resource Allocation in Cognitive Radio Network With Spectrum Leasing.
IEEE Trans. Green Commun. Netw., 2020
Soft Comput., 2020
IEEE Syst. J., 2020
Phys. Commun., 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
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
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
IEEE Trans. Veh. Technol., 2019
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
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
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
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
IEEE Trans. Fuzzy Syst., 2017
Robust power optimization scheme for cooperative wireless relay system in smart city.
Softw. Pract. Exp., 2017
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
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
Eng. Appl. Artif. Intell., 2016
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
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
IEEE Trans. Instrum. Meas., 2014
IEEE Signal Process. Lett., 2014
Neurocomputing, 2014
Neurocomputing, 2014
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
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
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
Appl. Soft Comput., 2013
Proceedings of the Seventh International Conference on Complex, 2013
2012
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
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
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
Proceedings of the FUZZ-IEEE 2011, 2011
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
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
Expert Syst. Appl., 2009
Proceedings of the Third International Conference on Network and System Security, 2009
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
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
Main Effect Fine-tuning of the Mutation Operator and the Neighbourhood Function for Uncapacitated Facility Location Problems.
Soft Comput., 2006
2004
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
Proceedings of the Genetic Programming, 6th European Conference, EuroGP 2003, 2003
Proceedings of the Genetic Programming, 6th European Conference, EuroGP 2003, 2003
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
2001
Experimental design theoretic genetic algorithm for input-output block assignment problem.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001