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 *

117 related articles for article (PubMed ID: 35523084)

  • 1. DynamicNet: A time-variant ODE network for multi-step wind speed prediction.
    Ye R; Li X; Ye Y; Zhang B
    Neural Netw; 2022 Aug; 152():118-139. PubMed ID: 35523084
    [TBL] [Abstract][Full Text] [Related]  

  • 2. WDMNet: Modeling diverse variations of regional wind speed for multi-step predictions.
    Ye R; Feng S; Li X; Ye Y; Zhang B; Zhu Y; Sun Y; Wang Y
    Neural Netw; 2023 May; 162():147-161. PubMed ID: 36907005
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A Stochastic Recurrent Encoder Decoder Network for Multistep Probabilistic Wind Power Predictions.
    Zheng Z; Zhang Z
    IEEE Trans Neural Netw Learn Syst; 2024 Jul; 35(7):9565-9578. PubMed ID: 37018569
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multi-task learning for the prediction of wind power ramp events with deep neural networks.
    Dorado-Moreno M; Navarin N; Gutiérrez PA; Prieto L; Sperduti A; Salcedo-Sanz S; Hervás-Martínez C
    Neural Netw; 2020 Mar; 123():401-411. PubMed ID: 31926464
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Training radial basis function networks for wind speed prediction using PSO enhanced differential search optimizer.
    Rani R HJ; Victoire T AA
    PLoS One; 2018; 13(5):e0196871. PubMed ID: 29768463
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A novel hybrid wind speed interval prediction model based on mode decomposition and gated recursive neural network.
    Xu H; Chang Y; Zhao Y; Wang F
    Environ Sci Pollut Res Int; 2022 Dec; 29(58):87097-87113. PubMed ID: 35804229
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A hybrid prediction model for forecasting wind energy resources.
    Zhang Y; Pan G
    Environ Sci Pollut Res Int; 2020 Jun; 27(16):19428-19446. PubMed ID: 32215801
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Optimization scheme of wind energy prediction based on artificial intelligence.
    Zhang Y; Li R; Zhang J
    Environ Sci Pollut Res Int; 2021 Aug; 28(29):39966-39981. PubMed ID: 33763837
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep Learning Method Based on Gated Recurrent Unit and Variational Mode Decomposition for Short-Term Wind Power Interval Prediction.
    Wang R; Li C; Fu W; Tang G
    IEEE Trans Neural Netw Learn Syst; 2020 Oct; 31(10):3814-3827. PubMed ID: 31725392
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An innovative forecasting model to predict wind energy.
    Zhang Y; Wang S
    Environ Sci Pollut Res Int; 2022 Oct; 29(49):74602-74618. PubMed ID: 35639315
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Two Machine Learning Approaches for Short-Term Wind Speed Time-Series Prediction.
    Ak R; Fink O; Zio E
    IEEE Trans Neural Netw Learn Syst; 2016 Aug; 27(8):1734-47. PubMed ID: 25910257
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multi-step wind speed forecasting based on a hybrid decomposition technique and an improved back-propagation neural network.
    Sun W; Wang X; Tan B
    Environ Sci Pollut Res Int; 2022 Jul; 29(33):49684-49699. PubMed ID: 35220530
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Short-term wind speed prediction based on FEEMD-PE-SSA-BP.
    Zhu T; Wang W; Yu M
    Environ Sci Pollut Res Int; 2022 Nov; 29(52):79288-79305. PubMed ID: 35710968
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Improved chimpanzee algorithm based on CEEMDAN combination to optimize ELM short-term wind speed prediction.
    Sun W; Wang X
    Environ Sci Pollut Res Int; 2023 Mar; 30(12):35115-35126. PubMed ID: 36525186
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A novel Encoder-Decoder model based on read-first LSTM for air pollutant prediction.
    Zhang B; Zou G; Qin D; Lu Y; Jin Y; Wang H
    Sci Total Environ; 2021 Apr; 765():144507. PubMed ID: 33418334
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Robust Blood Cell Image Segmentation Method Based on Neural Ordinary Differential Equations.
    Li D; Tang P; Zhang R; Sun C; Li Y; Qian J; Liang Y; Yang J; Zhang L
    Comput Math Methods Med; 2021; 2021():5590180. PubMed ID: 34413897
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Bilateral attention decoder: A lightweight decoder for real-time semantic segmentation.
    Peng C; Tian T; Chen C; Guo X; Ma J
    Neural Netw; 2021 May; 137():188-199. PubMed ID: 33647536
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A combined model for short-term wind speed forecasting based on empirical mode decomposition, feature selection, support vector regression and cross-validated lasso.
    Wang T
    PeerJ Comput Sci; 2021; 7():e732. PubMed ID: 34712801
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Forecasting of Typhoon-Induced Wind-Wave by Using Convolutional Deep Learning on Fused Data of Remote Sensing and Ground Measurements.
    Wei CC; Chang HC
    Sensors (Basel); 2021 Aug; 21(15):. PubMed ID: 34372470
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.