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 *

118 related articles for article (PubMed ID: 39141038)

  • 21. STL-decomposition ensemble deep learning models for daily reservoir inflow forecast for hydroelectricity production.
    Tebong NK; Simo T; Takougang AN; Ntanguen PH
    Heliyon; 2023 Jun; 9(6):e16456. PubMed ID: 37303512
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Research on prediction of compressive strength of fly ash and slag mixed concrete based on machine learning.
    Wang M; Kang J; Liu W; Su J; Li M
    PLoS One; 2022; 17(12):e0279293. PubMed ID: 36574382
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Deep learning infused SIRVD model for COVID-19 prediction: XGBoost-SIRVD-LSTM approach.
    Alkhalefah H; Preethi D; Khare N; Abidi MH; Umer U
    Front Med (Lausanne); 2024; 11():1427239. PubMed ID: 39290396
    [TBL] [Abstract][Full Text] [Related]  

  • 24. A Hybrid Method Based on Extreme Learning Machine and Wavelet Transform Denoising for Stock Prediction.
    Wu D; Wang X; Wu S
    Entropy (Basel); 2021 Apr; 23(4):. PubMed ID: 33918679
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Developing random forest hybridization models for estimating the axial bearing capacity of pile.
    Pham TA; Tran VQ
    PLoS One; 2022; 17(3):e0265747. PubMed ID: 35312706
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A Novel Method for Regional NO
    Liu B; Zhang L; Wang Q; Chen J
    Comput Intell Neurosci; 2021; 2021():6631614. PubMed ID: 33927755
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A comparative study of data-driven models for runoff, sediment, and nitrate forecasting.
    Zamani MG; Nikoo MR; Rastad D; Nematollahi B
    J Environ Manage; 2023 Sep; 341():118006. PubMed ID: 37163836
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Exploring machine learning algorithms for accurate water level forecasting in Muda river, Malaysia.
    Adli Zakaria MN; Ahmed AN; Abdul Malek M; Birima AH; Hayet Khan MM; Sherif M; Elshafie A
    Heliyon; 2023 Jul; 9(7):e17689. PubMed ID: 37456046
    [TBL] [Abstract][Full Text] [Related]  

  • 29. 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]  

  • 30. Application of PSO-based LSTM Neural Network for Outpatient Volume Prediction.
    Lu W; Jiang W; Zhang N; Xue F
    J Healthc Eng; 2021; 2021():7246561. PubMed ID: 34868529
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A new approach based on biology-inspired metaheuristic algorithms in combination with random forest to enhance the flood susceptibility mapping.
    Razavi-Termeh SV; Sadeghi-Niaraki A; Choi SM
    J Environ Manage; 2023 Nov; 345():118790. PubMed ID: 37647734
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Assessing predictive performance of supervised machine learning algorithms for a diamond pricing model.
    Kigo SN; Omondi EO; Omolo BO
    Sci Rep; 2023 Oct; 13(1):17315. PubMed ID: 37828360
    [TBL] [Abstract][Full Text] [Related]  

  • 33. PM
    Hu S; Liu P; Qiao Y; Wang Q; Zhang Y; Yang Y
    Environ Sci Pollut Res Int; 2022 Oct; 29(46):70323-70339. PubMed ID: 35588035
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A UV-Vis spectroscopic detection method for cobalt ions in zinc sulfate solution based on discrete wavelet transform and extreme gradient boosting.
    Zhu H; Yuan J; Wan Q; Cheng F; Dong X; Xia S; Zhou C
    Spectrochim Acta A Mol Biomol Spectrosc; 2024 Apr; 311():123982. PubMed ID: 38320470
    [TBL] [Abstract][Full Text] [Related]  

  • 35. EEG-Based Detection of Mild Cognitive Impairment Using DWT-Based Features and Optimization Methods.
    Aljalal M; Aldosari SA; AlSharabi K; Alturki FA
    Diagnostics (Basel); 2024 Jul; 14(15):. PubMed ID: 39125495
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Predicting mine water inflow volumes using a decomposition-optimization algorithm-machine learning approach.
    Bian J; Hou T; Ren D; Lin C; Qiao X; Ma X; Ma J; Wang Y; Wang J; Liang X
    Sci Rep; 2024 Aug; 14(1):17777. PubMed ID: 39090145
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Water quality assessment of a river using deep learning Bi-LSTM methodology: forecasting and validation.
    Khullar S; Singh N
    Environ Sci Pollut Res Int; 2022 Feb; 29(9):12875-12889. PubMed ID: 33988840
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Prediction of hepatitis E using machine learning models.
    Guo Y; Feng Y; Qu F; Zhang L; Yan B; Lv J
    PLoS One; 2020; 15(9):e0237750. PubMed ID: 32941452
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Prediction of water inflow from fault by particle swarm optimization-based modified grey models.
    Ma D; Duan H; Li W; Zhang J; Liu W; Zhou Z
    Environ Sci Pollut Res Int; 2020 Nov; 27(33):42051-42063. PubMed ID: 32705550
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Bayesian-optimized LSTM-DWT approach for reliable fault detection in MMC-based HVDC systems.
    Yousaf MZ; Singh AR; Khalid S; Bajaj M; Kumar BH; Zaitsev I
    Sci Rep; 2024 Aug; 14(1):17968. PubMed ID: 39095527
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.