These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
143 related articles for article (PubMed ID: 25111782)
1. A four-stage hybrid model for hydrological time series forecasting. Di C; Yang X; Wang X PLoS One; 2014; 9(8):e104663. PubMed ID: 25111782 [TBL] [Abstract][Full Text] [Related]
2. A Novel Hybrid Data-Driven Model for Daily Land Surface Temperature Forecasting Using Long Short-Term Memory Neural Network Based on Ensemble Empirical Mode Decomposition. Zhang X; Zhang Q; Zhang G; Nie Z; Gui Z; Que H Int J Environ Res Public Health; 2018 May; 15(5):. PubMed ID: 29883381 [TBL] [Abstract][Full Text] [Related]
3. Improving forecasting accuracy of medium and long-term runoff using artificial neural network based on EEMD decomposition. Wang WC; Chau KW; Qiu L; Chen YB Environ Res; 2015 May; 139():46-54. PubMed ID: 25684671 [TBL] [Abstract][Full Text] [Related]
4. Mid-long term forecasting of reservoir inflow using the coupling of time-varying filter-based empirical mode decomposition and gated recurrent unit. Wang X; Zhang S; Qiao H; Liu L; Tian F Environ Sci Pollut Res Int; 2022 Dec; 29(58):87200-87217. PubMed ID: 35804225 [TBL] [Abstract][Full Text] [Related]
5. Short-Term Prediction of COVID-19 Using Novel Hybrid Ensemble Empirical Mode Decomposition and Error Trend Seasonal Model. Khan DM; Ali M; Iqbal N; Khalil U; Aljohani HM; Alharthi AS; Afify AZ Front Public Health; 2022; 10():922795. PubMed ID: 35968475 [TBL] [Abstract][Full Text] [Related]
6. A new denoising approach based on mode decomposition applied to the stock market time series: 2LE-CEEMDAN. Akşehir ZD; Kılıç E PeerJ Comput Sci; 2024; 10():e1852. PubMed ID: 38435596 [TBL] [Abstract][Full Text] [Related]
7. Enhanced rainfall prediction performance via hybrid empirical-singular-wavelet-fuzzy approaches. Küllahcı K; Altunkaynak A Environ Sci Pollut Res Int; 2023 Apr; 30(20):58090-58108. PubMed ID: 36976466 [TBL] [Abstract][Full Text] [Related]
8. Multi-step ahead meningitis case forecasting based on decomposition and multi-objective optimization methods. Ribeiro MHDM; Mariani VC; Coelho LDS J Biomed Inform; 2020 Nov; 111():103575. PubMed ID: 32976990 [TBL] [Abstract][Full Text] [Related]
9. Improving the prediction accuracy of river inflow using two data pre-processing techniques coupled with data-driven model. Nazir HM; Hussain I; Faisal M; Elashkar EE; Shoukry AM PeerJ; 2019; 7():e8043. PubMed ID: 31871832 [TBL] [Abstract][Full Text] [Related]
10. Temperature Prediction of Seasonal Frozen Subgrades Based on CEEMDAN-LSTM Hybrid Model. Chen L; Liu X; Zeng C; He X; Chen F; Zhu B Sensors (Basel); 2022 Aug; 22(15):. PubMed ID: 35957299 [TBL] [Abstract][Full Text] [Related]
11. Multimode Decomposition and Wavelet Threshold Denoising of Mold Level Based on Mutual Information Entropy. Lei Z; Su W; Hu Q Entropy (Basel); 2019 Feb; 21(2):. PubMed ID: 33266917 [TBL] [Abstract][Full Text] [Related]
12. EEMD and Multiscale PCA-Based Signal Denoising Method and Its Application to Seismic P-Phase Arrival Picking. Peng K; Guo H; Shang X Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34450710 [TBL] [Abstract][Full Text] [Related]
13. A hybrid model for PM₂.₅ forecasting based on ensemble empirical mode decomposition and a general regression neural network. Zhou Q; Jiang H; Wang J; Zhou J Sci Total Environ; 2014 Oct; 496():264-274. PubMed ID: 25089688 [TBL] [Abstract][Full Text] [Related]
14. A hybrid prediction model for forecasting wind energy resources. Zhang Y; Pan G Environ Sci Pollut Res Int; 2020 Jun; 27(16):19428-19446. PubMed ID: 32215801 [TBL] [Abstract][Full Text] [Related]
15. Double decomposition and optimal combination ensemble learning approach for interval-valued AQI forecasting using streaming data. Wang Z; Chen L; Zhu J; Chen H; Yuan H Environ Sci Pollut Res Int; 2020 Oct; 27(30):37802-37817. PubMed ID: 32613510 [TBL] [Abstract][Full Text] [Related]
16. Forecasting carbon futures price: a hybrid method incorporating fuzzy entropy and extreme learning machine. Chen P; Vivian A; Ye C Ann Oper Res; 2022; 313(1):559-601. PubMed ID: 35002000 [TBL] [Abstract][Full Text] [Related]
17. Multi-step wind speed forecasting based on a hybrid decomposition technique and an improved back-propagation neural network. Sun W; Wang X; Tan B Environ Sci Pollut Res Int; 2022 Jul; 29(33):49684-49699. PubMed ID: 35220530 [TBL] [Abstract][Full Text] [Related]
18. Carbon price forecasting based on modified ensemble empirical mode decomposition and long short-term memory optimized by improved whale optimization algorithm. Yang S; Chen D; Li S; Wang W Sci Total Environ; 2020 May; 716():137117. PubMed ID: 32074939 [TBL] [Abstract][Full Text] [Related]
19. A hybrid prediction model of dissolved oxygen concentration based on secondary decomposition and bidirectional gate recurrent unit. Jiao J; Ma Q; Liu F; Zhao L; Huang S Environ Geochem Health; 2024 Mar; 46(4):127. PubMed ID: 38483668 [TBL] [Abstract][Full Text] [Related]
20. Multiscaled Neural Autoregressive Distributed Lag: A New Empirical Mode Decomposition Model for Nonlinear Time Series Forecasting. Saâdaoui F; Messaoud OB Int J Neural Syst; 2020 Aug; 30(8):2050039. PubMed ID: 32588684 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]