Interpretable Tourism Demand Forecasting with Two-Stage Decomposition and Temporal Fusion Transformers.
J. Syst. Sci. Complex., December, 2024
IM-ECG: An interpretable framework for arrhythmia detection using multi-lead ECG.
Expert Syst. Appl., March, 2024
Social media-based multi-modal ensemble framework for forecasting soybean futures price.
Comput. Electron. Agric., 2024
Interpretable tourism demand forecasting with temporal fusion transformers amid COVID-19.
Appl. Intell., June, 2023
Interpretable tourism volume forecasting with multivariate time series under the impact of COVID-19.
Neural Comput. Appl., March, 2023
Forecasting oil consumption with attention-based IndRNN optimized by adaptive differential evolution.
Appl. Intell., March, 2023
Diagnostic Value of CT Angiography Combined with High-Resolution Magnetic Resonance Angiography in Vascular Lesions in Acute Stroke.
Sci. Program., 2021
Forecasting Tourist Arrivals via Random Forest and Long Short-term Memory.
Cogn. Comput., 2021
Forecasting Monthly Tourism Demand Using Enhanced Backpropagation Neural Network.
Neural Process. Lett., 2020
New fruit fly optimization algorithm with joint search strategies for function optimization problems.
Knowl. Based Syst., 2019
Optimizing echo state network with backtracking search optimization algorithm for time series forecasting.
Eng. Appl. Artif. Intell., 2019
An effective fruit fly optimization algorithm with hybrid information exchange and its applications.
Int. J. Mach. Learn. Cybern., 2018
Optimizing the new coordinated replenishment and delivery model considering quantity discount and resource constraints.
Comput. Ind. Eng., 2018
An Effective Hybrid Differential Evolution Algorithm Incorporating Simulated Annealing for Joint Replenishment and Delivery Problem with Trade Credit.
Int. J. Comput. Intell. Syst., 2016
Model and algorithm of fuzzy joint replenishment problem under credibility measure on fuzzy goal.
Knowl. Based Syst., 2013
Modeling and optimization for the joint replenishment and delivery problem with heterogeneous items.
Knowl. Based Syst., 2013
An effective and efficient differential evolution algorithm for the integrated stochastic joint replenishment and delivery model.
Knowl. Based Syst., 2012
Continuous review inventory models with a mixture of backorders and lost sales under fuzzy demand and different decision situations.
Expert Syst. Appl., 2012
A differential evolution algorithm for joint replenishment problem using direct grouping and its application.
Expert Syst. J. Knowl. Eng., 2012
A hybrid decision support system for slow moving spare parts joint replenishment: a case study in a nuclear power plant.
Int. J. Comput. Appl. Technol., 2010
A Novel Model for Evaluating Performance of IT Department based on Balanced Scorecard and Artificial Neural Network Approach.
Proceedings of the Workshop on Intelligent Information Technology Application, 2007
Application of Artificial Neural Network Supported by BP and Particle Swarm Optimization Algorithm for Evaluating the Criticality Class of Spare Parts.
Proceedings of the Third International Conference on Natural Computation, 2007
A Web-Based Fuzzy Decision Support System for Spare Parts Inventory Control.
Proceedings of the Fuzzy Information and Engineering, 2007
Evaluating IT Investment Using a Hybrid Approach of Fuzzy Risk Analysis and Real Options.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007
The Criticality of Spare Parts Evaluating Model Using Artificial Neural Network Approach.
Proceedings of the Computational Science, 2006
The Risk Identification and Assessment in E-Business Development.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005