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 *

184 related articles for article (PubMed ID: 35943654)

  • 21. 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]  

  • 22. Carbon price prediction based on multi-factor MEEMD-LSTM model.
    Min Y; Shuzhen Z; Wuwei L
    Heliyon; 2022 Dec; 8(12):e12562. PubMed ID: 36643315
    [TBL] [Abstract][Full Text] [Related]  

  • 23. A multi-factor integrated model for carbon price forecasting: Market interaction promoting carbon emission reduction.
    Zhao LT; Miao J; Qu S; Chen XH
    Sci Total Environ; 2021 Nov; 796():149110. PubMed ID: 34328877
    [TBL] [Abstract][Full Text] [Related]  

  • 24. A new denoising approach based on mode decomposition applied to the stock market time series: 2LE-CEEMDAN.
    Akşehir ZD; Kılıç E
    PeerJ Comput Sci; 2024; 10():e1852. PubMed ID: 38435596
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Multi level perspectives in stock price forecasting: ICE2DE-MDL.
    Akşehir ZD; Kılıç E
    PeerJ Comput Sci; 2024; 10():e2125. PubMed ID: 38983197
    [TBL] [Abstract][Full Text] [Related]  

  • 26. 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]  

  • 27. A CNN-LSTM based deep learning model with high accuracy and robustness for carbon price forecasting: A case of Shenzhen's carbon market in China.
    Shi H; Wei A; Xu X; Zhu Y; Hu H; Tang S
    J Environ Manage; 2024 Feb; 352():120131. PubMed ID: 38266520
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A multi-scale evolutionary deep learning model based on CEEMDAN, improved whale optimization algorithm, regularized extreme learning machine and LSTM for AQI prediction.
    Ji C; Zhang C; Hua L; Ma H; Nazir MS; Peng T
    Environ Res; 2022 Dec; 215(Pt 1):114228. PubMed ID: 36084674
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A new hybrid prediction model of PM
    Yang H; Zhao J; Li G
    Environ Sci Pollut Res Int; 2022 Sep; 29(44):67214-67241. PubMed ID: 35524096
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Construction of a carbon price benchmark in China-analysis of eight pilot markets.
    Yang J; Dong H; Shackman JD; Yuan J
    Environ Sci Pollut Res Int; 2022 Jun; 29(27):41309-41328. PubMed ID: 35088276
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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]  

  • 32. 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]  

  • 33. 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]  

  • 34. 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]  

  • 35. Short-term wind speed forecasting based on a hybrid model of ICEEMDAN, MFE, LSTM and informer.
    Xinxin W; Xiaopan S; Xueyi A; Shijia L
    PLoS One; 2023; 18(9):e0289161. PubMed ID: 37682883
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 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]  

  • 37. Forecasting Carbon Price Using Double Shrinkage Methods.
    Wei X; Ouyang H
    Int J Environ Res Public Health; 2023 Jan; 20(2):. PubMed ID: 36674257
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. 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]  

  • 40. 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]  

    [Previous]   [Next]    [New Search]
    of 10.