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 *

124 related articles for article (PubMed ID: 37891187)

  • 1. 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]  

  • 2. Carbon price prediction based on multiple decomposition and XGBoost algorithm.
    Xu K; Xia Z; Cheng M; Tan X
    Environ Sci Pollut Res Int; 2023 Aug; 30(38):89165-89179. PubMed ID: 37442936
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Hybrid machine learning approach for accurate prediction of the drilling rock index.
    Shahani NM; Zheng X; Wei X; Hongwei J
    Sci Rep; 2024 Oct; 14(1):24080. PubMed ID: 39402133
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Hybrid decision tree-based machine learning models for short-term water quality prediction.
    Lu H; Ma X
    Chemosphere; 2020 Jun; 249():126169. PubMed ID: 32078849
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. Carbon price prediction for China's ETS pilots using variational mode decomposition and optimized extreme learning machine.
    Chai S; Zhang Z; Zhang Z
    Ann Oper Res; 2021 Nov; ():1-22. PubMed ID: 34812214
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Novel Hybrid Algorithm Based on Grey Wolf Optimizer and Fireworks Algorithm.
    Yue Z; Zhang S; Xiao W
    Sensors (Basel); 2020 Apr; 20(7):. PubMed ID: 32290193
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An innovative random forest-based nonlinear ensemble paradigm of improved feature extraction and deep learning for carbon price forecasting.
    Wang J; Sun X; Cheng Q; Cui Q
    Sci Total Environ; 2021 Mar; 762():143099. PubMed ID: 33127140
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. A new hybrid prediction model of air quality index based on secondary decomposition and improved kernel extreme learning machine.
    Li G; Tang Y; Yang H
    Chemosphere; 2022 Oct; 305():135348. PubMed ID: 35718028
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Temperature Drift Compensation of Fiber Optic Gyroscopes Based on an Improved Method.
    Wang X; Cui Y; Cao H
    Micromachines (Basel); 2023 Aug; 14(9):. PubMed ID: 37763879
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. A hybrid LSTM random forest model with grey wolf optimization for enhanced detection of multiple bearing faults.
    Djaballah S; Saidi L; Meftah K; Hechifa A; Bajaj M; Zaitsev I
    Sci Rep; 2024 Oct; 14(1):23997. PubMed ID: 39402110
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Forecasting fuel combustion-related CO
    Xie W; Wu WZ; Liu C; Zhang T; Dong Z
    Environ Sci Pollut Res Int; 2021 Jul; 28(28):38128-38144. PubMed ID: 33725301
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A novel hybrid learning paradigm with feature extraction for carbon price prediction based on Bi-directional long short-term memory network optimized by an improved sparrow search algorithm.
    Zhou J; Xu Z; Wang S
    Environ Sci Pollut Res Int; 2022 Sep; 29(43):65585-65598. PubMed ID: 35488159
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A multi-factor combination prediction model of carbon emissions based on improved CEEMDAN.
    Li G; Wu H; Yang H
    Environ Sci Pollut Res Int; 2024 Mar; 31(14):20898-20924. PubMed ID: 38379042
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.