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Jinbei Li
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Research on tide level prediction based on neural network LSTM model
2022
Wavelet and artificial neural network analyses of tide forecasting and supplement of tides around Taiwan and South China Sea
10.1016/j.oceaneng.2007.04.003 · 2007
Using baseflow ensembles for hydrologic hysteresis characterization in humid basins of Southeastern China
10.1029/2023wr036195 · 2024
A CNN-LSTM-attention based seepage pressure prediction method for Earth and rock dams
2025
Temperature prediction of seasonal frozen subgrades based on CEEMDAN-LSTM hybrid model
10.3390/s22155742 · 2022
Time series prediction method of clean coal ash content in dense medium separation based on EMD-LSTM
10.3390/bdcc9060159 · 2025
Heterogeneous network drug-target interaction prediction model based on graph wavelet transform and multi-level contrastive learning
10.1038/s41598-025-16098-y · 2025
A new framework for Winter wheat yield prediction integrating deep learning and bayesian optimization
2022
Tide prediction in the Venice lagoon using nonlinear autoregressive exogenous (NARX) neural network
10.3390/w13091173 · 2021
The influence of variational mode decomposition on LSTM prediction accuracy - a case Study with wind turbine power signals
10.1016/j.renene.2025.122863 · 2025
Multi-Source image fusion based on BEMD and Region sharpness guidance Region overlapping Algorithm
2024
A Survey of automatic parameter tuning methods for metaheuristics
10.1109/tevc.2019.2921598 · 2020
The empirical mode decomposition and the hilbert spectrum for nonlinear and non-stationary time series analysis
1998
Optimization of LSTM parameters for flash flood forecasting using genetic Algorithm
10.1007/s11269-023-03713-8 · 2024
Parameter tuning for meta-heuristics
2019
Back-Propagation neural network for long-term tidal predictions
10.1016/s0029-8018(03)00115-x · 2004
Application of artificial neural networks in tide-forecasting
2009
Deep learning approach to coal and gas outburst recognition employing modified AE and EMR signal from empirical mode decomposition and time-frequency analysis
10.1016/j.jngse.2021.103942 · 2021
Accurate tidal prediction based on empirical mode decomposition-enhanced multilayer perceptron
10.1016/j.oceaneng.2025.121848 · 2025
Forecasting stock index price using the CEEMDAN-LSTM model
10.1016/j.najef.2021.101421 · 2021
An optimized power load forecasting Algorithm based on VMD‐SMA‐LSTM
10.1002/ese3.70100 · 2025
An early weak fault assessment method for rolling bearings based on adaptive frequency focusing and multi-level activation quantum-inspired neural network
10.1016/j.measurement.2025.118039 · 2025
Predicting sea-level variations at the Cocos (Keeling) Islands with artificial neural networks
10.1016/j.cageo.2007.12.004 · 2008
Abnormal monitoring data detection based on matrix manipulation and the cuckoo search Algorithm
10.3390/math12091345 · 2024
Comparison of wavelet and empirical mode decomposition hybrid models in drought prediction
10.1016/j.compag.2020.105851 · 2020
Hybrid modeling approaches for agricultural commodity prices using CEEMDAN and time delay neural networks
10.1038/s41598-024-74503-4 · 2024
Mixture of experts leveraging informer and LSTM variants for enhanced daily streamflow forecasting
10.1016/j.jhydrol.2025.132737 · 2025
Taking the human out of the loop: a review of bayesian optimization
10.1109/jproc.2015.2494218 · 2016
Practical bayesian optimization of machine learning algorithms
2012
A non-iterative decomposition-ensemble learning paradigm using RVFL network for crude oil price forecasting
10.1016/j.asoc.2017.02.013 · 2017
Back-Propagation neural network in tidal-level forecasting
10.1061/(asce)0733-950x(2001)127:1(58) · 2001
A hybrid VMD-LSTM-SVR model for landslide prediction
10.3389/fbuil.2025.1630201 · 2025
A method of real-time tsunami detection using ensemble empirical mode decomposition
10.1785/0220200115 · 2020
Bayesian optimization in a billion dimensions via random embeddings
10.1613/jair.4806 · 2016
CEEMDAN-SE-HDBSCAN-VMD-TCN-BiGRU: a two-stage decomposition-based parallel model for multi-altitude ultra-short-term wind speed forecasting
10.1016/j.energy.2025.136660 · 2025
Building motivation above trust: a blockchain-based NFT GameFi model for construction workload assessment
10.54254/2755-2721/21/20231108 · 2023
Tidal level forecast of Yangtze River at the source of East route of south-to-north water transfer Project
2021
An adaptive real-time modular tidal level prediction mechanism based on EMD and Lipschitz quotients method
10.1016/j.oceaneng.2023.116297 · 2023
Impact of regional integration Policy on urban ecological resilience: a case Study of the Yangtze River Delta Region, China
2024
Physics-Constrained hybrid framework for CO2-ECBM prediction and optimization in fractured coal reservoirs: a Tsedfm-Athm-lstm-bo approach
10.1016/j.fuel.2025.135724 · 2025
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