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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

129 related articles for article (PubMed ID: 35795536)

  • 1. Improved CEEMDAN, GA, and SVR Model for Oil Price Forecasting.
    Lu Y; Luo J; Cui Y; He Z; Xia F
    J Environ Public Health; 2022; 2022():3741370. PubMed ID: 35795536
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Novel Forecasting Approach by the GA-SVR-GRNN Hybrid Deep Learning Algorithm for Oil Future Prices.
    Wang L; Xia Y; Lu Y
    Comput Intell Neurosci; 2022; 2022():4952215. PubMed ID: 36045986
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A New Forecasting Approach for Oil Price Using the Recursive Decomposition-Reconstruction-Ensemble Method with Complexity Traits.
    Wang F; Li M; Wang R
    Entropy (Basel); 2023 Jul; 25(7):. PubMed ID: 37509997
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Dynamic real-time forecasting technique for reclaimed water volumes in urban river environmental management.
    Zhang L; Wang C; Hu W; Wang X; Wang H; Sun X; Ren W; Feng Y
    Environ Res; 2024 May; 248():118267. PubMed ID: 38244969
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. An ensemble LSTM-based AQI forecasting model with decomposition-reconstruction technique via CEEMDAN and fuzzy entropy.
    Wu Z; Zhao W; Lv Y
    Air Qual Atmos Health; 2022; 15(12):2299-2311. PubMed ID: 36196368
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Carbon price prediction based on decomposition technique and extreme gradient boosting optimized by the grey wolf optimizer algorithm.
    Feng M; Duan Y; Wang X; Zhang J; Ma L
    Sci Rep; 2023 Oct; 13(1):18447. PubMed ID: 37891187
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Carbon price prediction using multiple hybrid machine learning models optimized by genetic algorithm.
    Nadirgil O
    J Environ Manage; 2023 Sep; 342():118061. PubMed ID: 37201388
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A New Time Series Forecasting Model Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Temporal Convolutional Network.
    Guo C; Kang X; Xiong J; Wu J
    Neural Process Lett; 2022 Oct; ():1-21. PubMed ID: 36248248
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Forecasting PM 2.5 concentration based on integrating of CEEMDAN decomposition method with SVM and LSTM.
    Ameri R; Hsu CC; Band SS; Zamani M; Shu CM; Khorsandroo S
    Ecotoxicol Environ Saf; 2023 Nov; 266():115572. PubMed ID: 37837695
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Runoff prediction of lower Yellow River based on CEEMDAN-LSSVM-GM(1,1) model.
    Guo S; Wen Y; Zhang X; Chen H
    Sci Rep; 2023 Jan; 13(1):1511. PubMed ID: 36707680
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Crude oil prices and volatility prediction by a hybrid model based on kernel extreme learning machine.
    Niu H; Zhao Y
    Math Biosci Eng; 2021 Sep; 18(6):8096-8122. PubMed ID: 34814291
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Short-term power load forecasting based on the CEEMDAN-TCN-ESN model.
    Huang J; Zhang X; Jiang X
    PLoS One; 2023; 18(10):e0284604. PubMed ID: 37883410
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters.
    Fijani E; Barzegar R; Deo R; Tziritis E; Skordas K
    Sci Total Environ; 2019 Jan; 648():839-853. PubMed ID: 30138884
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Adaptive Ultrasound Tissue Harmonic Imaging Based on an Improved Ensemble Empirical Mode Decomposition Algorithm.
    Han S; Zhang Y; Wu K; He B; Zhang K; Liang H
    Ultrason Imaging; 2020 Mar; 42(2):57-73. PubMed ID: 31994455
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A carbon price hybrid forecasting model based on data multi-scale decomposition and machine learning.
    Yang P; Wang Y; Zhao S; Chen Z; Li Y
    Environ Sci Pollut Res Int; 2023 Jan; 30(2):3252-3269. PubMed ID: 35943654
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A New Hybrid Forecasting Model Based on SW-LSTM and Wavelet Packet Decomposition: A Case Study of Oil Futures Prices.
    Wang J; Wang J
    Comput Intell Neurosci; 2021; 2021():7653091. PubMed ID: 34335724
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Daily air quality index forecasting with hybrid models: A case in China.
    Zhu S; Lian X; Liu H; Hu J; Wang Y; Che J
    Environ Pollut; 2017 Dec; 231(Pt 2):1232-1244. PubMed ID: 28939124
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Natural gas spot price prediction research under the background of Russia-Ukraine conflict - based on FS-GA-SVR hybrid model.
    Zheng Y; Luo J; Chen J; Chen Z; Shang P
    J Environ Manage; 2023 Oct; 344():118446. PubMed ID: 37352627
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.