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2020 – today
- 2024
[j7]Binrong Wu, Huanze Zeng, Zhongrui Wang, Lin Wang
:
Interpretable short-term carbon dioxide emissions forecasting based on flexible two-stage decomposition and temporal fusion transformers. Appl. Soft Comput. 159: 111639 (2024)- [j6]Binrong Wu, Lin Wang, Yu-Rong Zeng:
Interpretable Tourism Demand Forecasting with Two-Stage Decomposition and Temporal Fusion Transformers. J. Syst. Sci. Complex. 37(6): 2654-2679 (2024) - 2023
- [j5]Binrong Wu, Lin Wang, Sheng-Xiang Lv, Yu-Rong Zeng:
Forecasting oil consumption with attention-based IndRNN optimized by adaptive differential evolution. Appl. Intell. 53(5): 5473-5496 (2023) - [j4]Binrong Wu, Lin Wang, Yu-Rong Zeng:
Interpretable tourism demand forecasting with temporal fusion transformers amid COVID-19. Appl. Intell. 53(11): 14493-14514 (2023) - [j3]Rui Tao, Lin Wang, Binrong Wu:
A resource-efficient ECG diagnosis model for mobile health devices. Inf. Sci. 648: 119628 (2023) - [j2]Binrong Wu, Lin Wang, Rui Tao, Yu-Rong Zeng:
Interpretable tourism volume forecasting with multivariate time series under the impact of COVID-19. Neural Comput. Appl. 35(7): 5437-5463 (2023) - 2020
- [j1]Lin Wang, Binrong Wu, Qing Zhu, Yu-Rong Zeng:
Forecasting Monthly Tourism Demand Using Enhanced Backpropagation Neural Network. Neural Process. Lett. 52(3): 2607-2636 (2020)
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