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 *

126 related articles for article (PubMed ID: 36757488)

  • 1. A coupled CEEMD-BiLSTM model for regional monthly temperature prediction.
    Zhang X; Xiao Y; Zhu G; Shi J
    Environ Monit Assess; 2023 Feb; 195(3):379. PubMed ID: 36757488
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A monthly temperature prediction based on the CEEMDAN-BO-BiLSTM coupled model.
    Zhang X; Ren H; Liu J; Zhang Y; Cheng W
    Sci Rep; 2024 Jan; 14(1):808. PubMed ID: 38191680
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Forecasting shipping index using CEEMD-PSO-BiLSTM model.
    Li C; Wang X; Hu Y; Yan Y; Jin H; Shang G
    PLoS One; 2023; 18(2):e0280504. PubMed ID: 36730327
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Industrial water consumption forecasting based on combined CEEMD-ARIMA model for Henan province, central chain: A case study.
    Zhang X; Zhao D; Wang T; Wu X
    Environ Monit Assess; 2022 Jun; 194(7):471. PubMed ID: 35652955
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An ensemble method to forecast 24-h ahead solar irradiance using wavelet decomposition and BiLSTM deep learning network.
    Singla P; Duhan M; Saroha S
    Earth Sci Inform; 2022; 15(1):291-306. PubMed ID: 34804244
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A combined monthly precipitation prediction method based on CEEMD and improved LSTM.
    Jiang X
    PLoS One; 2023; 18(7):e0288211. PubMed ID: 37440489
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A new rainfall prediction model based on ICEEMDAN-WSD-BiLSTM and ESN.
    Zhang X; Chen H; Wen Y; Shi J; Xiao Y
    Environ Sci Pollut Res Int; 2023 Apr; 30(18):53381-53396. PubMed ID: 36854943
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Daily flow prediction of the Huayuankou hydrometeorological station based on the coupled CEEMDAN-SE-BiLSTM model.
    Li H; Zhang X; Sun S; Wen Y; Yin Q
    Sci Rep; 2023 Nov; 13(1):18915. PubMed ID: 37919397
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction of suspended sediment concentration in the lower Yellow River in China based on the coupled CEEMD-NAR model.
    Zhang X; Zheng Z
    Environ Sci Pollut Res Int; 2023 Mar; 30(11):30960-30971. PubMed ID: 36441324
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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; 13(1):13149. PubMed ID: 37573389
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A novel combined model for prediction of daily precipitation data using instantaneous frequency feature and bidirectional long short time memory networks.
    Latifoğlu L
    Environ Sci Pollut Res Int; 2022 Jun; 29(28):42899-42912. PubMed ID: 35092586
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A novel RF-CEEMD-LSTM model for predicting water pollution.
    Ruan J; Cui Y; Song Y; Mao Y
    Sci Rep; 2023 Nov; 13(1):20901. PubMed ID: 38017113
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Integration of complete ensemble empirical mode decomposition with deep long short-term memory model for particulate matter concentration prediction.
    Fu M; Le C; Fan T; Prakapovich R; Manko D; Dmytrenko O; Lande D; Shahid S; Yaseen ZM
    Environ Sci Pollut Res Int; 2021 Dec; 28(45):64818-64829. PubMed ID: 34318419
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Monthly precipitation prediction in Luoyang city based on EEMD-LSTM-ARIMA model.
    Zhao J; Nie G; Wen Y
    Water Sci Technol; 2023 Jan; 87(1):318-335. PubMed ID: 36640040
    [TBL] [Abstract][Full Text] [Related]  

  • 15. DAFA-BiLSTM: Deep Autoregression Feature Augmented Bidirectional LSTM network for time series prediction.
    Wang H; Zhang Y; Liang J; Liu L
    Neural Netw; 2023 Jan; 157():240-256. PubMed ID: 36399979
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep learning precipitation prediction models combined with feature analysis.
    Zhang X; Zheng Z; Li H; Liu F; Yin Q
    Environ Sci Pollut Res Int; 2023 Dec; 30(58):121948-121959. PubMed ID: 37957500
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multi-step interval prediction of ultra-short-term wind power based on CEEMDAN-FIG and CNN-BiLSTM.
    Zhao Z; Nan H; Liu Z; Yu Y
    Environ Sci Pollut Res Int; 2022 Aug; 29(38):58097-58109. PubMed ID: 35362890
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Combined model of air quality index forecasting based on the combination of complementary empirical mode decomposition and sequence reconstruction.
    Wang W; Tang Q
    Environ Pollut; 2023 Jan; 316(Pt 2):120628. PubMed ID: 36370980
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. The air quality index trend forecasting based on improved error correction model and data preprocessing for 17 port cities in China.
    Zhu S; Sun J; Liu Y; Lu M; Liu X
    Chemosphere; 2020 Aug; 252():126474. PubMed ID: 32443259
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.