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 *

151 related articles for article (PubMed ID: 34678540)

  • 1. Ensemble system for short term carbon dioxide emissions forecasting based on multi-objective tangent search algorithm.
    Liu Z; Jiang P; Wang J; Zhang L
    J Environ Manage; 2022 Jan; 302(Pt A):113951. PubMed ID: 34678540
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multi-step prediction of carbon emissions based on a secondary decomposition framework coupled with stacking ensemble strategy.
    Zhang B; Ling L; Zeng L; Hu H; Zhang D
    Environ Sci Pollut Res Int; 2023 Jun; 30(27):71063-71087. PubMed ID: 37156950
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Predicting carbon dioxide emissions in the United States of America using machine learning algorithms.
    Chukwunonso BP; Al-Wesabi I; Shixiang L; AlSharabi K; Al-Shamma'a AA; Farh HMH; Saeed F; Kandil T; Al-Shaalan AM
    Environ Sci Pollut Res Int; 2024 May; 31(23):33685-33707. PubMed ID: 38691282
    [TBL] [Abstract][Full Text] [Related]  

  • 4. China's carbon dioxide emission forecast based on improved marine predator algorithm and multi-kernel support vector regression.
    Qin X; Zhang S; Dong X; Zhan Y; Wang R; Xu D
    Environ Sci Pollut Res Int; 2023 Jan; 30(3):5730-5748. PubMed ID: 35982382
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A comparative study of statistical and machine learning models on carbon dioxide emissions prediction of China.
    Li X; Zhang X
    Environ Sci Pollut Res Int; 2023 Nov; 30(55):117485-117502. PubMed ID: 37867169
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A daily carbon emission prediction model combining two-stage feature selection and optimized extreme learning machine.
    Kong F; Song J; Yang Z
    Environ Sci Pollut Res Int; 2022 Dec; 29(58):87983-87997. PubMed ID: 35821323
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Short-term prediction of carbon emissions based on the EEMD-PSOBP model.
    Sun W; Ren C
    Environ Sci Pollut Res Int; 2021 Oct; 28(40):56580-56594. PubMed ID: 34060019
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Forecasting carbon dioxide emissions based on a hybrid of mixed data sampling regression model and back propagation neural network in the USA.
    Zhao X; Han M; Ding L; Calin AC
    Environ Sci Pollut Res Int; 2018 Jan; 25(3):2899-2910. PubMed ID: 29143932
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. 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]  

  • 13. Forecasting CO
    Wei S; Yuwei W; Chongchong Z
    Environ Sci Pollut Res Int; 2018 Oct; 25(29):28985-28997. PubMed ID: 30109681
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Grey optimization Verhulst model and its application in forecasting coal-related CO
    Duan H; Luo X
    Environ Sci Pollut Res Int; 2020 Dec; 27(35):43884-43905. PubMed ID: 32737788
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. 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]  

  • 18. Development and performance comparison of optimized machine learning-based regression models for predicting energy-related carbon dioxide emissions.
    Koca Akkaya E; Akkaya AV
    Environ Sci Pollut Res Int; 2023 Dec; 30(58):122381-122392. PubMed ID: 37966648
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Predicting regional carbon price in China based on multi-factor HKELM by combining secondary decomposition and ensemble learning.
    Hu B; Cheng Y
    PLoS One; 2023; 18(12):e0285311. PubMed ID: 38085727
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Forecasting the spatiotemporal variability of soil CO
    Freitas LPS; Lopes MLM; Carvalho LB; Panosso AR; La Scala JĂșnior N; Freitas RLB; Minussi CR; Lotufo ADP
    Environ Monit Assess; 2018 Nov; 190(12):741. PubMed ID: 30465274
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.