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 *

270 related articles for article (PubMed ID: 32377179)

  • 1. Short-Time Wind Speed Forecast Using Artificial Learning-Based Algorithms.
    Ibrahim M; Alsheikh A; Al-Hindawi Q; Al-Dahidi S; ElMoaqet H
    Comput Intell Neurosci; 2020; 2020():8439719. PubMed ID: 32377179
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Ultra-Short-Term Wind Power Forecasting Based on CGAN-CNN-LSTM Model Supported by Lidar.
    Zhang J; Zhao Z; Yan J; Cheng P
    Sensors (Basel); 2023 Apr; 23(9):. PubMed ID: 37177571
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Performance enhancement of short-term wind speed forecasting model using Realtime data.
    Ashraf M; Raza B; Arshad M; Khan BM; Zaidi SSH
    PLoS One; 2024; 19(5):e0302664. PubMed ID: 38820359
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. A novel model based on CEEMDAN, IWOA, and LSTM for ultra-short-term wind power forecasting.
    Yang S; Yuan A; Yu Z
    Environ Sci Pollut Res Int; 2023 Jan; 30(5):11689-11705. PubMed ID: 36098919
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Long, short, and medium terms wind speed prediction model based on LSTM optimized by improved moth flame optimization algorithm.
    Li R; Wang J; Li J; Kou M
    Environ Sci Pollut Res Int; 2024 May; 31(25):37256-37282. PubMed ID: 38771541
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. Investigation of Data Size Variability in Wind Speed Prediction Using AI Algorithms.
    Ehsan MA; Shahirinia A; Zhang N; Oladunni T
    Cybern Syst; 2021; 52(1):105-126. PubMed ID: 38500540
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Deep CNN-LSTM Model for Particulate Matter (PM
    Huang CJ; Kuo PH
    Sensors (Basel); 2018 Jul; 18(7):. PubMed ID: 29996546
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. A green energy research: forecasting of wind power for a cleaner environment using robust hybrid metaheuristic model.
    Kerem A; Saygin A; Rahmani R
    Environ Sci Pollut Res Int; 2022 Jul; 29(34):50998-51010. PubMed ID: 34537944
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Forecasting of solar radiation for a cleaner environment using robust machine learning techniques.
    Thangavelu M; Parthiban VJ; Kesavaraman D; Murugesan T
    Environ Sci Pollut Res Int; 2023 Mar; 30(11):30919-30932. PubMed ID: 36441304
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Comparative study of machine learning methods for COVID-19 transmission forecasting.
    Dairi A; Harrou F; Zeroual A; Hittawe MM; Sun Y
    J Biomed Inform; 2021 Jun; 118():103791. PubMed ID: 33915272
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Performance evaluation of Emergency Department patient arrivals forecasting models by including meteorological and calendar information: A comparative study.
    Sudarshan VK; Brabrand M; Range TM; Wiil UK
    Comput Biol Med; 2021 Aug; 135():104541. PubMed ID: 34166880
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Increasing the Accuracy of Hourly Multi-Output Solar Power Forecast with Physics-Informed Machine Learning.
    Pombo DV; Bindner HW; Spataru SV; Sørensen PE; Bacher P
    Sensors (Basel); 2022 Jan; 22(3):. PubMed ID: 35161500
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Application of Convolutional Long Short-Term Memory Neural Networks to Signals Collected from a Sensor Network for Autonomous Gas Source Localization in Outdoor Environments.
    Bilgera C; Yamamoto A; Sawano M; Matsukura H; Ishida H
    Sensors (Basel); 2018 Dec; 18(12):. PubMed ID: 30567386
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A hybrid approach for short-term forecasting of wind speed.
    Tatinati S; Veluvolu KC
    ScientificWorldJournal; 2013; 2013():548370. PubMed ID: 24453872
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.