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 *

119 related articles for article (PubMed ID: 39037990)

  • 1. Short- and long-term weather prediction based on a hybrid of CEEMDAN, LMD, and ANN.
    Gyamerah SA; Owusu V
    PLoS One; 2024; 19(7):e0304754. PubMed ID: 39037990
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. Machine learning ensembles, neural network, hybrid and sparse regression approaches for weather based rainfed cotton yield forecast.
    Kashyap GR; Sridhara S; Manoj KN; Gopakkali P; Das B; Jha PK; Prasad PVV
    Int J Biometeorol; 2024 Jun; 68(6):1179-1197. PubMed ID: 38676745
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A novel model based on CEEMDAN, IWOA, and LSTM for ultra-short-term wind power forecasting.
    Yang S; Yuan A; Yu Z
    Environ Sci Pollut Res Int; 2023 Jan; 30(5):11689-11705. PubMed ID: 36098919
    [TBL] [Abstract][Full Text] [Related]  

  • 6. New double decomposition deep learning methods for river water level forecasting.
    Ahmed AAM; Deo RC; Ghahramani A; Feng Q; Raj N; Yin Z; Yang L
    Sci Total Environ; 2022 Jul; 831():154722. PubMed ID: 35339552
    [TBL] [Abstract][Full Text] [Related]  

  • 7. CEEMDAN-IPSO-LSTM: A Novel Model for Short-Term Passenger Flow Prediction in Urban Rail Transit Systems.
    Zeng L; Li Z; Yang J; Xu X
    Int J Environ Res Public Health; 2022 Dec; 19(24):. PubMed ID: 36554314
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. Extreme weather events and farmer adaptation in Zeeland, the Netherlands: A European climate change case study from the Rhine delta.
    van Tilburg AJ; Hudson PF
    Sci Total Environ; 2022 Oct; 844():157212. PubMed ID: 35809733
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Short-term prediction of PM2.5 concentration by hybrid neural network based on sequence decomposition.
    Wu X; Zhu J; Wen Q
    PLoS One; 2024; 19(5):e0299603. PubMed ID: 38728371
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Dynamic real-time forecasting technique for reclaimed water volumes in urban river environmental management.
    Zhang L; Wang C; Hu W; Wang X; Wang H; Sun X; Ren W; Feng Y
    Environ Res; 2024 May; 248():118267. PubMed ID: 38244969
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A New Time Series Forecasting Model Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Temporal Convolutional Network.
    Guo C; Kang X; Xiong J; Wu J
    Neural Process Lett; 2022 Oct; ():1-21. PubMed ID: 36248248
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Application of Hybrid ANN Techniques for Drought Forecasting in the Semi-Arid Region of India.
    Wable PS; Jha MK; Adamala S; Tiwari MK; Biswal S
    Environ Monit Assess; 2023 Aug; 195(9):1090. PubMed ID: 37615733
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Application of novel artificial bee colony optimized ANN and data preprocessing techniques for monthly streamflow estimation.
    Katipoğlu OM; Keblouti M; Mohammadi B
    Environ Sci Pollut Res Int; 2023 Aug; 30(38):89705-89725. PubMed ID: 37460880
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Gas Concentration Prediction Based on IWOA-LSTM-CEEMDAN Residual Correction Model.
    Xu N; Wang X; Meng X; Chang H
    Sensors (Basel); 2022 Jun; 22(12):. PubMed ID: 35746193
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters.
    Fijani E; Barzegar R; Deo R; Tziritis E; Skordas K
    Sci Total Environ; 2019 Jan; 648():839-853. PubMed ID: 30138884
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. A new hybrid model for photovoltaic output power prediction.
    Zou J; Wei M; Song Q; Zhou Z
    Environ Sci Pollut Res Int; 2023 Dec; 30(58):122934-122957. PubMed ID: 37980325
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A novel approach to precipitation prediction using a coupled CEEMDAN-GRU-Transformer model with permutation entropy algorithm.
    Zhao J; Nie G; Yan M; Wang Y; Wang L
    Water Sci Technol; 2023 Aug; 88(4):1015-1038. PubMed ID: 37651335
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.