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