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 *

127 related articles for article (PubMed ID: 38339599)

  • 1. Hour-Ahead Photovoltaic Power Prediction Combining BiLSTM and Bayesian Optimization Algorithm, with Bootstrap Resampling for Interval Predictions.
    Herrera-Casanova R; Conde A; Santos-Pérez C
    Sensors (Basel); 2024 Jan; 24(3):. PubMed ID: 38339599
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Short-Term Photovoltaic Power Forecasting Based on Historical Information and Deep Learning Methods.
    Guo X; Mo Y; Yan K
    Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36559997
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A novel combined model for prediction of daily precipitation data using instantaneous frequency feature and bidirectional long short time memory networks.
    Latifoğlu L
    Environ Sci Pollut Res Int; 2022 Jun; 29(28):42899-42912. PubMed ID: 35092586
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An ensemble method to forecast 24-h ahead solar irradiance using wavelet decomposition and BiLSTM deep learning network.
    Singla P; Duhan M; Saroha S
    Earth Sci Inform; 2022; 15(1):291-306. PubMed ID: 34804244
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A novel GBDT-BiLSTM hybrid model on improving day-ahead photovoltaic prediction.
    Wang S; Ma J
    Sci Rep; 2023 Sep; 13(1):15113. PubMed ID: 37704833
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Forecasting a Short-Term Photovoltaic Power Model Based on Improved Snake Optimization, Convolutional Neural Network, and Bidirectional Long Short-Term Memory Network.
    Wang Y; Yao Y; Zou Q; Zhao K; Hao Y
    Sensors (Basel); 2024 Jun; 24(12):. PubMed ID: 38931681
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A novel hybrid model based on two-stage data processing and machine learning for forecasting chlorophyll-a concentration in reservoirs.
    Yu W; Wang X; Jiang X; Zhao R; Zhao S
    Environ Sci Pollut Res Int; 2024 Jan; 31(1):262-279. PubMed ID: 38015396
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Photovoltaic Power Prediction Based on Hybrid Deep Learning Networks and Meteorological Data.
    Guo W; Xu L; Wang T; Zhao D; Tang X
    Sensors (Basel); 2024 Feb; 24(5):. PubMed ID: 38475127
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Photovoltaic power prediction based on dilated causal convolutional network and stacked LSTM.
    Tian C; Lin L; Yan Y; Wang R; Wang F; Chi Q
    Math Biosci Eng; 2024 Jan; 21(1):1167-1185. PubMed ID: 38303459
    [TBL] [Abstract][Full Text] [Related]  

  • 10. How Does Neural Network Model Capacity Affect Photovoltaic Power Prediction? A Study Case.
    Andrade CHT; Melo GCG; Vieira TF; Araújo ÍBQ; Medeiros Martins A; Torres IC; Brito DB; Santos AKX
    Sensors (Basel); 2023 Jan; 23(3):. PubMed ID: 36772397
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An improved sparrow search algorithm and CNN-BiLSTM neural network for predicting sea level height.
    Li X; Zhou S; Wang F; Fu L
    Sci Rep; 2024 Feb; 14(1):4560. PubMed ID: 38402324
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Daily natural gas load prediction method based on APSO optimization and Attention-BiLSTM.
    Qi X; Wang H; Ji Y; Li Y; Luo X; Nie R; Liang X
    PeerJ Comput Sci; 2024; 10():e1890. PubMed ID: 38435580
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prediction of COVID-19 confirmed cases combining deep learning methods and Bayesian optimization.
    Abbasimehr H; Paki R
    Chaos Solitons Fractals; 2021 Jan; 142():110511. PubMed ID: 33281305
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Monthly runoff prediction based on a coupled VMD-SSA-BiLSTM model.
    Zhang X; Wang X; Li H; Sun S; Liu F
    Sci Rep; 2023 Aug; 13(1):13149. PubMed ID: 37573389
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Two-Stage Multistep-Ahead Electricity Load ForecastingScheme Based on LightGBM and Attention-BiLSTM.
    Park J; Hwang E
    Sensors (Basel); 2021 Nov; 21(22):. PubMed ID: 34833791
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prediction of dissolved oxygen concentration in aquaculture based on attention mechanism and combined neural network.
    Yang W; Liu W; Gao Q
    Math Biosci Eng; 2023 Jan; 20(1):998-1017. PubMed ID: 36650799
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Research on prediction and evaluation algorithm of sports athletes performance based on neural network.
    Wang K; Zhu D; Chang Z; Wu Z
    Technol Health Care; 2024 Apr; ():. PubMed ID: 38848203
    [TBL] [Abstract][Full Text] [Related]  

  • 18. DAFA-BiLSTM: Deep Autoregression Feature Augmented Bidirectional LSTM network for time series prediction.
    Wang H; Zhang Y; Liang J; Liu L
    Neural Netw; 2023 Jan; 157():240-256. PubMed ID: 36399979
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Fuzzy-based prediction of solar PV and wind power generation for microgrid modeling using particle swarm optimization.
    Teferra DM; Ngoo LMH; Nyakoe GN
    Heliyon; 2023 Jan; 9(1):e12802. PubMed ID: 36704286
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Forecasting Teleconsultation Demand Using an Ensemble CNN Attention-Based BILSTM Model with Additional Variables.
    Chen W; Li J
    Healthcare (Basel); 2021 Aug; 9(8):. PubMed ID: 34442130
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.