BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

123 related articles for article (PubMed ID: 35146147)

  • 1. Application of empirical mode decomposition to improve deep learning for US GDP data forecasting.
    Lin SL
    Heliyon; 2022 Jan; 8(1):e08748. PubMed ID: 35146147
    [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. Empirical mode decomposition based long short-term memory neural network forecasting model for the short-term metro passenger flow.
    Chen Q; Wen D; Li X; Chen D; Lv H; Zhang J; Gao P
    PLoS One; 2019; 14(9):e0222365. PubMed ID: 31509599
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Reconstruction of missing spring discharge by using deep learning models with ensemble empirical mode decomposition of precipitation.
    Zhou R; Zhang Y
    Environ Sci Pollut Res Int; 2022 Nov; 29(54):82451-82466. PubMed ID: 35751724
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A Hybrid Model for Coronavirus Disease 2019 Forecasting Based on Ensemble Empirical Mode Decomposition and Deep Learning.
    Liu S; Wan Y; Yang W; Tan A; Jian J; Lei X
    Int J Environ Res Public Health; 2022 Dec; 20(1):. PubMed ID: 36612939
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Water quality assessment of a river using deep learning Bi-LSTM methodology: forecasting and validation.
    Khullar S; Singh N
    Environ Sci Pollut Res Int; 2022 Feb; 29(9):12875-12889. PubMed ID: 33988840
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 24-Hour prediction of PM
    Teng M; Li S; Xing J; Song G; Yang J; Dong J; Zeng X; Qin Y
    Sci Total Environ; 2022 May; 821():153276. PubMed ID: 35074389
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A hybrid model for forecasting of particulate matter concentrations based on multiscale characterization and machine learning techniques.
    Ali Shah SA; Aziz W; Almaraashi M; Ahmed Nadeem MS; Habib N; Shim SO
    Math Biosci Eng; 2021 Mar; 18(3):1992-2009. PubMed ID: 33892534
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Empirical mode decomposition using deep learning model for financial market forecasting.
    Jin Z; Jin Y; Chen Z
    PeerJ Comput Sci; 2022; 8():e1076. PubMed ID: 36262133
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Ensemble streamflow forecasting based on variational mode decomposition and long short term memory.
    Sun X; Zhang H; Wang J; Shi C; Hua D; Li J
    Sci Rep; 2022 Jan; 12(1):518. PubMed ID: 35017569
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Multi-step forecasting of dissolved oxygen in River Ganga based on CEEMDAN-AdaBoost-BiLSTM-LSTM model.
    Pant N; Toshniwal D; Gurjar BR
    Sci Rep; 2024 May; 14(1):11199. PubMed ID: 38755217
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A reduced-form ensemble of short-term air quality forecasting with the Sparrow search algorithm and decomposition error correction.
    Hu K; Che J
    Environ Sci Pollut Res Int; 2023 Apr; 30(16):48508-48531. PubMed ID: 36759410
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Artificial Intelligence based accurately load forecasting system to forecast short and medium-term load demands.
    Butt FM; Hussain L; Mahmood A; Lone KJ
    Math Biosci Eng; 2020 Dec; 18(1):400-425. PubMed ID: 33525099
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A novel short-term carbon emission prediction model based on secondary decomposition method and long short-term memory network.
    Kong F; Song J; Yang Z
    Environ Sci Pollut Res Int; 2022 Sep; 29(43):64983-64998. PubMed ID: 35482236
    [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. Predicting polycyclic aromatic hydrocarbons in surface water by a multiscale feature extraction-based deep learning approach.
    Dong L; Zhang J
    Sci Total Environ; 2021 Dec; 799():149509. PubMed ID: 34375863
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prediction of Time-Series Transcriptomic Gene Expression Based on Long Short-Term Memory with Empirical Mode Decomposition.
    Zhou Y; Jia E; Shi H; Liu Z; Sheng Y; Pan M; Tu J; Ge Q; Lu Z
    Int J Mol Sci; 2022 Jul; 23(14):. PubMed ID: 35886880
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.