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2025
Innovative deep learning and signal decomposition approaches for enhanced spatial and temporal suspended sediment concentration prediction
Environmental Science and Pollution Research
2024
A novel coupled algorithm-based method, and the characteristics and driving mechanism of water shortage in the upper Yellow River
Hydrological Sciences Journal
2024
Temporal prediction of dissolved oxygen based on CEEMDAN and multi-strategy LSTM hybrid model
Environmental Earth Sciences
2024
Testing protocols for smoothing datasets of hydraulic variables acquired during unsteady flows
Hydrological Sciences Journal
2024
Comovement of african stock markets: Any influence from the COVID-19 pandemic?
Heliyon
2024
Intelligent Prediction of Annual CO2 Emissions Under Data Decomposition Mode
Computational Economics
2022
Quantifying Information Flows among Developed and Emerging Equity Markets
Mathematical Problems in Engineering
2022
Multi‐Frequency Information Flows between Global Commodities and Uncertainties: Evidence from COVID‐19 Pandemic
Complexity
2022
A CEEMDAN‐Based Entropy Approach Measuring Multiscale Information Flow between Macroeconomic Conditions and Stock Returns of BRICS
Complexity
2022
Improvement towards Prediction Accuracy of Principle Mineral Resources Using Threshold
Mathematical Problems in Engineering
2021
A hybrid model for short-term dissolved oxygen content prediction
Computers and Electronics in Agriculture
2020
Underwater Acoustic Signal Prediction Based on MVMD and Optimized Kernel Extreme Learning Machine
Complexity
2020
Time series modeling and forecasting of a highly regulated riverine system: implications for fisheries management
California Fish and Wildlife Journal
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