Wei-Chiang Hong

Orcid: 0000-0002-3001-2921

According to our database1, Wei-Chiang Hong authored at least 70 papers between 2005 and 2024.

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

Timeline

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Bibliography

2024
Applications of chaotic quantum adaptive satin bower bird optimizer algorithm in berth-tugboat-quay crane allocation optimization.
Expert Syst. Appl., March, 2024

A hybrid model for deep learning short-term power load forecasting based on feature extraction statistics techniques.
Expert Syst. Appl., March, 2024

Analysis and prediction of novel coronavirus pneumonia epidemic using hybrid response surface method with time-series and random forest.
J. Intell. Fuzzy Syst., January, 2024

2023
A new intelligent hybrid forecasting method for power load considering uncertainty.
Knowl. Based Syst., November, 2023

A floating offshore platform motion forecasting approach based on EEMD hybrid ConvLSTM and chaotic quantum ALO.
Appl. Soft Comput., September, 2023

2022
1174: futuristic trends and innovations in multimedia systems using big data, IoT and cloud technologies (FTIMS).
Multim. Tools Appl., 2022

Application of COEMD-S-SVR model in tourism demand forecasting and economic behavior analysis: The case of Sanya City.
J. Oper. Res. Soc., 2022

Guest editorial: Deep learning-based intelligent communication systems: Using big data analytics.
IET Commun., 2022

A hybrid approach for forecasting ship motion using CNN-GRU-AM and GCWOA.
Appl. Soft Comput., 2022

FETCH: A Deep Learning-Based Fog Computing and IoT Integrated Environment for Healthcare Monitoring and Diagnosis.
IEEE Access, 2022

A Taxonomy of Fake News Classification Techniques: Survey and Implementation Aspects.
IEEE Access, 2022

AI-Empowered Recommender System for Renewable Energy Harvesting in Smart Grid System.
IEEE Access, 2022

On the Dynamics and Feasibility of Transferred Inference for Diagnosis of Invasive Ductal Carcinoma: A Perspective.
IEEE Access, 2022

Optimizing Berth-quay Crane Allocation considering Economic Factors Using Chaotic Quantum SSA.
Appl. Artif. Intell., 2022

2021
Internet of Things: Evolution, Concerns and Security Challenges.
Sensors, 2021

QoS Improvement Using In-Network Caching Based on Clustering and Popularity Heuristics in CCN.
Sensors, 2021

Introduction to the Special Issue on Artificial Intelligence for Smart Cities and Industries.
Scalable Comput. Pract. Exp., 2021

Application of variational mode decomposition and chaotic grey wolf optimizer with support vector regression for forecasting electric loads.
Knowl. Based Syst., 2021

2020
Special issue on networking technologies for sustainable computing.
Sustain. Comput. Informatics Syst., 2020

An Intelligent Opportunistic Routing Algorithm for Wireless Sensor Networks and Its Application Towards e-Healthcare.
Sensors, 2020

Electric Load Forecasting by Hybrid Self-Recurrent Support Vector Regression Model With Variational Mode Decomposition and Improved Cuckoo Search Algorithm.
IEEE Access, 2020

Machine Learning Adoption in Blockchain-Based Smart Applications: The Challenges, and a Way Forward.
IEEE Access, 2020

A Survey on Decentralized Consensus Mechanisms for Cyber Physical Systems.
IEEE Access, 2020

2017
Berth and quay crane coordinated scheduling using multi-objective chaos cloud particle swarm optimization algorithm.
Neural Comput. Appl., 2017

A novel approach based on the Gauss-vSVR with a new hybrid evolutionary algorithm and input vector decision method for port throughput forecasting.
Neural Comput. Appl., 2017

2016
Electric load forecasting by the SVR model with differential empirical mode decomposition and auto regression.
Neurocomputing, 2016

Comparative study of diversity based parallel dual population genetic algorithm for unconstrained function optimisations.
Int. J. Bio Inspired Comput., 2016

2015
Consistency issues of interval pairwise comparison matrices.
Soft Comput., 2015

Hybridization of seasonal chaotic cloud simulated annealing algorithm in a SVR-based load forecasting model.
Neurocomputing, 2015

Forecasting holiday daily tourist flow based on seasonal support vector regression with adaptive genetic algorithm.
Appl. Soft Comput., 2015

Port Throughput Forecasting by Using PPPR with Chaotic Efficient Genetic Algorithms and CMA.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

2014
Competitive analysis for make-to-order scheduling with reliable lead time quotation.
J. Comb. Optim., 2014

Kinetics for Reduction of Iron Ore Based on the Phase Space Reconstruction.
J. Appl. Math., 2014

A Straightforward Approach to Estimate the Abnormal Return in Taiwan.
Int. J. Appl. Evol. Comput., 2014

Invasive Weed Optimization for Combined Economic and Emission Dispatch Problems.
Int. J. Appl. Evol. Comput., 2014

The Impact of Defense Investment on Economic Growth in the Perspective of Time Series: A Case Study of China.
Int. J. Appl. Evol. Comput., 2014

Multithreaded Parallel Dual Population Genetic Algorithm (MPDPGA) for unconstrained function optimizations on multi-core system.
Appl. Math. Comput., 2014

2013
Linguistic Computational Model Based on 2-Tuples and Intervals.
IEEE Trans. Fuzzy Syst., 2013

Measuring consistency of linguistic preference relations: a 2-tuple linguistic approach.
Soft Comput., 2013

Urban traffic flow forecasting using Gauss-SVR with cat mapping, cloud model and PSO hybrid algorithm.
Neurocomputing, 2013

Numerical scales generated individually for analytic hierarchy process.
Eur. J. Oper. Res., 2013

2012
Application of seasonal SVR with chaotic immune algorithm in traffic flow forecasting.
Neural Comput. Appl., 2012

Seasonal Support Vector Regression with Chaotic Genetic Algorithm in Electric Load Forecasting.
Proceedings of the 2012 Sixth International Conference on Genetic and Evolutionary Computing, 2012

2011
Traffic flow forecasting by seasonal SVR with chaotic simulated annealing algorithm.
Neurocomputing, 2011

The Volatility for Pre and Post Global Financial Crisis: An Application of Computational Finance.
Int. J. Appl. Evol. Comput., 2011

Firm Size Transmission Effect and Price-Volume Relationship Analysis During Financial Tsunami Periods.
Int. J. Appl. Evol. Comput., 2011

SVR with hybrid chaotic genetic algorithms for tourism demand forecasting.
Appl. Soft Comput., 2011

Hybrid evolutionary algorithms in a SVR traffic flow forecasting model.
Appl. Math. Comput., 2011

Support Vector Regression with Chaotic Hybrid Algorithm in Cyclic Electric Load Forecasting.
Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011, 2011

SVR with Chaotic Genetic Algorithm in Taiwanese 3G Phone Demand Forecasting.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2011

2010
Application of salesman-like recommendation system in 3G mobile phone online shopping decision support.
Expert Syst. Appl., 2010

Taiwanese 3G mobile phone demand forecasting by SVR with hybrid evolutionary algorithms.
Expert Syst. Appl., 2010

Consensus models for AHP group decision making under row geometric mean prioritization method.
Decis. Support Syst., 2010

Seasonal adjustment in a SVR with chaotic simulated annealing algorithm traffic flow forecasting model.
Proceedings of the Second World Congress on Nature & Biologically Inspired Computing, 2010

2009
Continuous ACO in a SVR Traffic Forecasting Model.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

Application of hybrid genetic algorithm and simulated annealing in a SVR traffic flow forecasting model.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Reliability forecasting by recurrent Support Vector Regression.
Int. J. Artif. Intell. Soft Comput., 2008

Rainfall forecasting by technological machine learning models.
Appl. Math. Comput., 2008

2007
Continuous Ant Colony Optimization in a SVR Urban Traffic Forecasting Model.
Proceedings of the Computational and Ambient Intelligence, 2007

The potentiality of support vector regression with immune algorithm for regional electric load forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2007

Continuous ant colony optimization algorithms in a support vector regression based financial forecasting model.
Proceedings of the Third International Conference on Natural Computation, 2007

Using genetic algorithms to solve luggage typesetting problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Composite of support vector regression and evolutionary algorithms in car-rental revenue forecasting.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Software reliability forecasting by support vector machines with simulated annealing algorithms.
J. Syst. Softw., 2006

Feasibility Assessment of Support Vector Regression Models with Immune Algorithms in Predicting Fatigue Life of Composites.
Proceedings of the 2006 Joint Conference on Information Sciences, 2006

Highway traffic forecasting by support vector regression model with tabu search algorithms.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
Forecasting Electric Load by Support Vector Machines with Genetic Algorithms.
J. Adv. Comput. Intell. Intell. Informatics, 2005

Application of Support Vector Machines in Predicting Employee Turnover Based on Job Performance.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Recurrent Support Vector Machines in Reliability Prediction.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Forecasting Tourism Demand Using a Multifactor Support Vector Machine Model.
Proceedings of the Computational Intelligence and Security, International Conference, 2005


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