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 *

225 related articles for article (PubMed ID: 24808074)

  • 1. Innovative second-generation wavelets construction with recurrent neural networks for solar radiation forecasting.
    Capizzi G; Napoli C; Bonanno F
    IEEE Trans Neural Netw Learn Syst; 2012 Nov; 23(11):1805-15. PubMed ID: 24808074
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A hybrid wavelet transform based short-term wind speed forecasting approach.
    Wang J
    ScientificWorldJournal; 2014; 2014():914127. PubMed ID: 25136699
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks.
    Sharma N; Puri V; Mahajan S; Abualigah L; Zitar RA; Gandomi AH
    Sci Rep; 2023 May; 13(1):8517. PubMed ID: 37231039
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Combining discrete wavelet decomposition with soft computing techniques to predict monthly evapotranspiration in semi-arid Hakkâri province, Türkiye.
    Katipoğlu OM
    Environ Sci Pollut Res Int; 2023 Mar; 30(15):44043-44066. PubMed ID: 36680720
    [TBL] [Abstract][Full Text] [Related]  

  • 5. [Preliminary application of Back-Propagation artificial neural network model on the prediction of infectious diarrhea incidence in Shanghai].
    Li J; Gu JZ; Mao SH; Xiao WJ; Jin HM; Zheng YX; Wang YM; Hu JY
    Zhonghua Liu Xing Bing Xue Za Zhi; 2013 Dec; 34(12):1198-202. PubMed ID: 24518019
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [Application of wavelet neural networks model to forecast incidence of syphilis].
    Zhou XF; Feng ZJ; Yang WZ; Li XS
    Sichuan Da Xue Xue Bao Yi Xue Ban; 2011 Jul; 42(4):544-7. PubMed ID: 21866645
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Improving the accuracy of air relative humidity prediction using hybrid machine learning based on empirical mode decomposition: a comparative study.
    Merabet K; Heddam S
    Environ Sci Pollut Res Int; 2023 May; 30(21):60868-60889. PubMed ID: 37041358
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Intra-Day Solar Power Forecasting Strategy for Managing Virtual Power Plants.
    Moreno G; Santos C; Martín P; Rodríguez FJ; Peña R; Vuksanovic B
    Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34451090
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Short-term load and wind power forecasting using neural network-based prediction intervals.
    Quan H; Srinivasan D; Khosravi A
    IEEE Trans Neural Netw Learn Syst; 2014 Feb; 25(2):303-15. PubMed ID: 24807030
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Short-term solar radiation forecasting using machine learning models under different sky conditions: evaluations and comparisons.
    Belmahdi B; Bouardi AE
    Environ Sci Pollut Res Int; 2024 Jan; 31(1):966-981. PubMed ID: 38030838
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Artificial neural network-based output power prediction of grid-connected semitransparent photovoltaic system.
    Kumar PM; Saravanakumar R; Karthick A; Mohanavel V
    Environ Sci Pollut Res Int; 2022 Feb; 29(7):10173-10182. PubMed ID: 34515934
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A hybrid wavelet de-noising and Rank-Set Pair Analysis approach for forecasting hydro-meteorological time series.
    Wang D; Borthwick AG; He H; Wang Y; Zhu J; Lu Y; Xu P; Zeng X; Wu J; Wang L; Zou X; Liu J; Zou Y; He R
    Environ Res; 2018 Jan; 160():269-281. PubMed ID: 29032311
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Artificial neural network model with different backpropagation algorithms and meteorological data for solar radiation prediction.
    Heng SY; Ridwan WM; Kumar P; Ahmed AN; Fai CM; Birima AH; El-Shafie A
    Sci Rep; 2022 Jun; 12(1):10457. PubMed ID: 35729307
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Wavelet LSTM for Fault Forecasting in Electrical Power Grids.
    Branco NW; Cavalca MSM; Stefenon SF; Leithardt VRQ
    Sensors (Basel); 2022 Oct; 22(21):. PubMed ID: 36366021
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Sensorless PV Power Forecasting in Grid-Connected Buildings through Deep Learning.
    Son J; Park Y; Lee J; Kim H
    Sensors (Basel); 2018 Aug; 18(8):. PubMed ID: 30072641
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A neural network controller for hydronic heating systems of solar buildings.
    Argiriou AA; Bellas-Velidis I; Kummert M; André P
    Neural Netw; 2004 Apr; 17(3):427-40. PubMed ID: 15037359
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Wavelet neural networks: a practical guide.
    Alexandridis AK; Zapranis AD
    Neural Netw; 2013 Jun; 42():1-27. PubMed ID: 23411153
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Data on photovoltaic power forecasting models for Mediterranean climate.
    Malvoni M; De Giorgi MG; Congedo PM
    Data Brief; 2016 Jun; 7():1639-42. PubMed ID: 27222867
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 12.