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 *

416 related articles for article (PubMed ID: 32074939)

  • 21. Water quality prediction in sea cucumber farming based on a GRU neural network optimized by an improved whale optimization algorithm.
    Yang H; Liu S
    PeerJ Comput Sci; 2022; 8():e1000. PubMed ID: 35721411
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Carbon price prediction based on modified wavelet least square support vector machine.
    Sun W; Xu C
    Sci Total Environ; 2021 Feb; 754():142052. PubMed ID: 32916491
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Forecasting carbon futures price: a hybrid method incorporating fuzzy entropy and extreme learning machine.
    Chen P; Vivian A; Ye C
    Ann Oper Res; 2022; 313(1):559-601. PubMed ID: 35002000
    [TBL] [Abstract][Full Text] [Related]  

  • 24. A novel general-purpose hybrid model for time series forecasting.
    Yang Y; Fan C; Xiong H
    Appl Intell (Dordr); 2022; 52(2):2212-2223. PubMed ID: 34764604
    [TBL] [Abstract][Full Text] [Related]  

  • 25. 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]  

  • 26. A novel model for runoff prediction based on the ICEEMDAN-NGO-LSTM coupling.
    Yang C; Jiang Y; Liu Y; Liu S; Liu F
    Environ Sci Pollut Res Int; 2023 Jul; 30(34):82179-82188. PubMed ID: 37318729
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A novel carbon price forecasting method based on model matching, adaptive decomposition, and reinforcement learning ensemble strategy.
    Cao Z; Liu H
    Environ Sci Pollut Res Int; 2023 Mar; 30(13):36044-36067. PubMed ID: 36539662
    [TBL] [Abstract][Full Text] [Related]  

  • 28. 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]  

  • 29. An optimized decomposition integration framework for carbon price prediction based on multi-factor two-stage feature dimension reduction.
    Xu W; Wang J; Zhang Y; Li J; Wei L
    Ann Oper Res; 2022 Jul; ():1-38. PubMed ID: 35875369
    [TBL] [Abstract][Full Text] [Related]  

  • 30. A novel hybrid model for air quality index forecasting based on two-phase decomposition technique and modified extreme learning machine.
    Wang D; Wei S; Luo H; Yue C; Grunder O
    Sci Total Environ; 2017 Feb; 580():719-733. PubMed ID: 27989476
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A novel optimal-hybrid model for daily air quality index prediction considering air pollutant factors.
    Wu Q; Lin H
    Sci Total Environ; 2019 Sep; 683():808-821. PubMed ID: 31154159
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 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]  

  • 33. Carbon price forecasting using multiscale nonlinear integration model coupled optimal feature reconstruction with biphasic deep learning.
    Wang J; Cheng Q; Sun X
    Environ Sci Pollut Res Int; 2022 Dec; 29(57):85988-86004. PubMed ID: 34453680
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A four-stage hybrid model for hydrological time series forecasting.
    Di C; Yang X; Wang X
    PLoS One; 2014; 9(8):e104663. PubMed ID: 25111782
    [TBL] [Abstract][Full Text] [Related]  

  • 35. An ensemble long short-term memory neural network for hourly PM
    Bai Y; Zeng B; Li C; Zhang J
    Chemosphere; 2019 May; 222():286-294. PubMed ID: 30708163
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 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]  

  • 37. Mid-long term forecasting of reservoir inflow using the coupling of time-varying filter-based empirical mode decomposition and gated recurrent unit.
    Wang X; Zhang S; Qiao H; Liu L; Tian F
    Environ Sci Pollut Res Int; 2022 Dec; 29(58):87200-87217. PubMed ID: 35804225
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Improving forecasting accuracy of medium and long-term runoff using artificial neural network based on EEMD decomposition.
    Wang WC; Chau KW; Qiu L; Chen YB
    Environ Res; 2015 May; 139():46-54. PubMed ID: 25684671
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Point and interval forecasting for carbon trading price: a case of 8 carbon trading markets in China.
    Zhao Y; Zhao H; Li B; Wu B; Guo S
    Environ Sci Pollut Res Int; 2023 Apr; 30(17):49075-49096. PubMed ID: 36763267
    [TBL] [Abstract][Full Text] [Related]  

  • 40. 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; 232():116365. PubMed ID: 37301497
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 21.