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 *

238 related articles for article (PubMed ID: 35632071)

  • 21. 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]  

  • 22. 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]  

  • 23. Improving the accuracy of air relative humidity prediction using hybrid machine learning based on empirical mode decomposition: a comparative study.
    Merabet K; Heddam S
    Environ Sci Pollut Res Int; 2023 May; 30(21):60868-60889. PubMed ID: 37041358
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Optimization scheme of wind energy prediction based on artificial intelligence.
    Zhang Y; Li R; Zhang J
    Environ Sci Pollut Res Int; 2021 Aug; 28(29):39966-39981. PubMed ID: 33763837
    [TBL] [Abstract][Full Text] [Related]  

  • 25. An Attention-Based Multilayer GRU Model for Multistep-Ahead Short-Term Load Forecasting
    Jung S; Moon J; Park S; Hwang E
    Sensors (Basel); 2021 Feb; 21(5):. PubMed ID: 33652726
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Energy Load Forecasting Using a Dual-Stage Attention-Based Recurrent Neural Network.
    Ozcan A; Catal C; Kasif A
    Sensors (Basel); 2021 Oct; 21(21):. PubMed ID: 34770422
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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]  

  • 28. Short-term air quality forecasting model based on hybrid RF-IACA-BPNN algorithm.
    Qiao DW; Yao J; Zhang JW; Li XL; Mi T; Zeng W
    Environ Sci Pollut Res Int; 2022 Jun; 29(26):39164-39181. PubMed ID: 35098458
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Application of Improved LSTM Algorithm in Macroeconomic Forecasting.
    Chen S; Han X; Shen Y; Ye C
    Comput Intell Neurosci; 2021; 2021():4471044. PubMed ID: 34754302
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Research on Wind Power Short-Term Forecasting Method Based on Temporal Convolutional Neural Network and Variational Modal Decomposition.
    Tang J; Chien YR
    Sensors (Basel); 2022 Sep; 22(19):. PubMed ID: 36236512
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Forecasting Time-Series Energy Data in Buildings Using an Additive Artificial Intelligence Model for Improving Energy Efficiency.
    Truong NS; Ngo NT; Pham AD
    Comput Intell Neurosci; 2021; 2021():6028573. PubMed ID: 34354744
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks.
    Sharma N; Puri V; Mahajan S; Abualigah L; Zitar RA; Gandomi AH
    Sci Rep; 2023 May; 13(1):8517. PubMed ID: 37231039
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Deep learning-based neural networks for day-ahead power load probability density forecasting.
    Zhou Y; Zhu D; Chen H; Guo S; Xu CY; Chang FJ
    Environ Sci Pollut Res Int; 2023 Feb; 30(7):17741-17764. PubMed ID: 36201077
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Water quality forecasting based on data decomposition, fuzzy clustering and deep learning neural network.
    Yu JW; Kim JS; Li X; Jong YC; Kim KH; Ryang GI
    Environ Pollut; 2022 Jun; 303():119136. PubMed ID: 35283198
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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]  

  • 36. 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]  

  • 37. A hybrid air quality early-warning framework: An hourly forecasting model with online sequential extreme learning machines and empirical mode decomposition algorithms.
    Sharma E; Deo RC; Prasad R; Parisi AV
    Sci Total Environ; 2020 Mar; 709():135934. PubMed ID: 31869708
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. Runoff forecasting model based on variational mode decomposition and artificial neural networks.
    Jing X; Luo J; Zhang S; Wei N
    Math Biosci Eng; 2022 Jan; 19(2):1633-1648. PubMed ID: 35135221
    [TBL] [Abstract][Full Text] [Related]  

  • 40. A two-stage interval-valued carbon price forecasting model based on bivariate empirical mode decomposition and error correction.
    Wang P; Chudhery MAZ; Xu J; Zhao X; Wang C
    Environ Sci Pollut Res Int; 2023 Jul; 30(32):78262-78278. PubMed ID: 37269510
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 12.