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Journal Abstract Search
224 related items for PubMed ID: 31871832
1. 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 [Abstract] [Full Text] [Related]
3. 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 21; 15(5):. PubMed ID: 29883381 [Abstract] [Full Text] [Related]
4. 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; 21(2):. PubMed ID: 33266917 [Abstract] [Full Text] [Related]
5. Research on Ship-Radiated Noise Denoising Using Secondary Variational Mode Decomposition and Correlation Coefficient. Li Y, Li Y, Chen X, Yu J. Sensors (Basel); 2017 Dec 26; 18(1):. PubMed ID: 29278380 [Abstract] [Full Text] [Related]
6. Least square support vector machine-based variational mode decomposition: a new hybrid model for daily river water temperature modeling. Heddam S, Ptak M, Sojka M, Kim S, Malik A, Kisi O, Zounemat-Kermani M. Environ Sci Pollut Res Int; 2022 Oct 26; 29(47):71555-71582. PubMed ID: 35604598 [Abstract] [Full Text] [Related]
7. A water quality prediction model based on variational mode decomposition and the least squares support vector machine optimized by the sparrow search algorithm (VMD-SSA-LSSVM) of the Yangtze River, China. Song C, Yao L, Hua C, Ni Q. Environ Monit Assess; 2021 May 27; 193(6):363. PubMed ID: 34041601 [Abstract] [Full Text] [Related]
8. An AQI decomposition ensemble model based on SSA-LSTM using improved AMSSA-VMD decomposition reconstruction technique. Wang K, Fan X, Yang X, Zhou Z. Environ Res; 2023 Sep 01; 232():116365. PubMed ID: 37301497 [Abstract] [Full Text] [Related]
9. Automatic selection of IMFs to denoise the sEMG signals using EMD. Koppolu PK, Chemmangat K. J Electromyogr Kinesiol; 2023 Dec 01; 73():102834. PubMed ID: 37922679 [Abstract] [Full Text] [Related]
10. Method for Denoising the Vibration Signal of Rotating Machinery through VMD and MODWPT. Zhou X, Wang X, Wang H, Xing Z, Yang Z, Cao L. Sensors (Basel); 2023 Aug 03; 23(15):. PubMed ID: 37571687 [Abstract] [Full Text] [Related]
11. Dependence structure analysis of multisite river inflow data using vine copula-CEEMDAN based hybrid model. Nazir HM, Hussain I, Faisal M, Mohamd Shoukry A, Abdel Wahab Sharkawy M, Fawzi Al-Deek F, Ismail M. PeerJ; 2020 Aug 03; 8():e10285. PubMed ID: 33194437 [Abstract] [Full Text] [Related]
12. Enhanced rainfall prediction performance via hybrid empirical-singular-wavelet-fuzzy approaches. Küllahcı K, Altunkaynak A. Environ Sci Pollut Res Int; 2023 Apr 03; 30(20):58090-58108. PubMed ID: 36976466 [Abstract] [Full Text] [Related]
13. Monthly runoff prediction based on a coupled VMD-SSA-BiLSTM model. Zhang X, Wang X, Li H, Sun S, Liu F. Sci Rep; 2023 Aug 12; 13(1):13149. PubMed ID: 37573389 [Abstract] [Full Text] [Related]
14. Epileptic seizure classifications using empirical mode decomposition and its derivative. Karabiber Cura O, Kocaaslan Atli S, Türe HS, Akan A. Biomed Eng Online; 2020 Feb 14; 19(1):10. PubMed ID: 32059668 [Abstract] [Full Text] [Related]
17. Comparison of different heuristic and decomposition techniques for river stage modeling. Seo Y, Kim S, Singh VP. Environ Monit Assess; 2018 Jun 12; 190(7):392. PubMed ID: 29892912 [Abstract] [Full Text] [Related]