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 *

126 related articles for article (PubMed ID: 39165991)

  • 21. Photovoltaic Power Generation Forecasting Using a Novel Hybrid Intelligent Model in Smart Grid.
    Boum AT; Foba Kakeu VJ; Mbey CF; Yem Souhe FG
    Comput Intell Neurosci; 2022; 2022():7495548. PubMed ID: 36248947
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Short-term wind speed forecasting in Uruguay using computational intelligence.
    Zucatelli PJ; Nascimento EGS; Aylas GYR; Souza NBP; Kitagawa YKL; Santos AAB; Arce AMG; Moreira DM
    Heliyon; 2019 May; 5(5):e01664. PubMed ID: 31193100
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. Comparative optimization of global solar radiation forecasting using machine learning and time series models.
    Belmahdi B; Louzazni M; El Bouardi A
    Environ Sci Pollut Res Int; 2022 Feb; 29(10):14871-14888. PubMed ID: 34625894
    [TBL] [Abstract][Full Text] [Related]  

  • 25. 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]  

  • 26. Forecasting renewable energy for environmental resilience through computational intelligence.
    Khan M; Al-Ammar EA; Naeem MR; Ko W; Choi HJ; Kang HK
    PLoS One; 2021; 16(8):e0256381. PubMed ID: 34415924
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A time series model based on hybrid-kernel least-squares support vector machine for short-term wind power forecasting.
    Ding M; Zhou H; Xie H; Wu M; Liu KZ; Nakanishi Y; Yokoyama R
    ISA Trans; 2021 Feb; 108():58-68. PubMed ID: 32958296
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Developing a multivariate time series forecasting framework based on stacked autoencoders and multi-phase feature.
    Kumar Sharma D; Prakash Varshney R; Agarwal S; Ali Alhussan A; Abdallah HA
    Heliyon; 2024 Apr; 10(7):e27860. PubMed ID: 38689959
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Ensemble Nonlinear Autoregressive Exogenous Artificial Neural Networks for Short-Term Wind Speed and Power Forecasting.
    Men Z; Yee E; Lien FS; Yang Z; Liu Y
    Int Sch Res Notices; 2014; 2014():972580. PubMed ID: 27382627
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Research of a combination system based on fuzzy sets and multi-objective marine predator algorithm for point and interval prediction of wind speed.
    Qian Y; Wang J; Zhang H; Zhang L
    Environ Sci Pollut Res Int; 2023 Mar; 30(13):35781-35807. PubMed ID: 36536200
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Utilizing support vector machines to foster sustainable development and innovation in the clean energy sector via green finance.
    Wang W; Huang H; Peng X; Wang Z; Zeng Y
    J Environ Manage; 2024 Jun; 360():121225. PubMed ID: 38796867
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Hybrid attention-based temporal convolutional bidirectional LSTM approach for wind speed interval prediction.
    Bommidi BS; Kosana V; Teeparthi K; Madasthu S
    Environ Sci Pollut Res Int; 2023 Mar; 30(14):40018-40030. PubMed ID: 36602735
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Forecasting and analyzing influenza activity in Hebei Province, China, using a CNN-LSTM hybrid model.
    Li G; Li Y; Han G; Jiang C; Geng M; Guo N; Wu W; Liu S; Xing Z; Han X; Li Q
    BMC Public Health; 2024 Aug; 24(1):2171. PubMed ID: 39135162
    [TBL] [Abstract][Full Text] [Related]  

  • 34. PM
    Yang M; Fan H; Zhao K
    Int J Environ Res Public Health; 2019 Nov; 16(22):. PubMed ID: 31739449
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A novel compound wind speed forecasting model based on the back propagation neural network optimized by bat algorithm.
    Cui Y; Huang C; Cui Y
    Environ Sci Pollut Res Int; 2020 Mar; 27(7):7353-7365. PubMed ID: 31884551
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Implementation of hybrid wind speed prediction model based on different data mining and signal processing approaches.
    Katipoğlu OM
    Environ Sci Pollut Res Int; 2023 May; 30(23):64589-64605. PubMed ID: 37071355
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Research on Wind Power Short-Term Forecasting Method Based on Temporal Convolutional Neural Network and Variational Modal Decomposition.
    Tang J; Chien YR
    Sensors (Basel); 2022 Sep; 22(19):. PubMed ID: 36236512
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Intelligent based hybrid renewable energy resources forecasting and real time power demand management system for resilient energy systems.
    Amir M; Zaheeruddin ; Haque A
    Sci Prog; 2022; 105(4):368504221132144. PubMed ID: 36263519
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Electricity energy dataset "BanE-16": Analysis of peak energy demand with environmental variables for machine learning forecasting.
    Salehin I; Noman SM; Hasan MM
    Data Brief; 2024 Feb; 52():109967. PubMed ID: 38235179
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Deep convolutional neural network and IoT technology for healthcare.
    Wassan S; Dongyan H; Suhail B; Jhanjhi NZ; Xiao G; Ahmed S; Murugesan RK
    Digit Health; 2024; 10():20552076231220123. PubMed ID: 38250147
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.