Wei-Chiang Hong
Orcid: 0000-0002-3001-2921
According to our database1,
Wei-Chiang Hong
authored at least 75 papers
between 2005 and 2024.
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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
Inf. Sci., 2024
Optimizing berth-crane allocation considering tidal effects using chaotic quantum whale optimization algorithm.
Appl. Soft Comput., 2024
Optimization approach of berth-quay crane-truck allocation by the tide, environment and uncertainty factors based on chaos quantum adaptive seagull optimization algorithm.
Appl. Soft Comput., 2024
The bi-long short-term memory based on multiscale and mesoscale feature extraction for electric load forecasting.
Appl. Soft Comput., 2024
A Priority Based Energy-Efficient Metaheuristic Routing Approach for Smart Healthcare System (SHS).
IEEE Access, 2024
2023
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
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
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
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
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
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
J. Comb. Optim., 2014
J. Appl. Math., 2014
Int. J. Appl. Evol. Comput., 2014
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
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
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
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
Appl. Soft Comput., 2011
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
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
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
Int. J. Artif. Intell. Soft Comput., 2008
Appl. Math. Comput., 2008
2007
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
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
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
Proceedings of the Advances in Natural Computation, First International Conference, 2005
Proceedings of the Computational Intelligence and Security, International Conference, 2005