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 *

255 related articles for article (PubMed ID: 38203104)

  • 1. A Machine Learning Model Based on GRU and LSTM to Predict the Environmental Parameters in a Layer House, Taking CO
    Chen X; Yang L; Xue H; Li L; Yu Y
    Sensors (Basel); 2023 Dec; 24(1):. PubMed ID: 38203104
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods.
    Ayoobi N; Sharifrazi D; Alizadehsani R; Shoeibi A; Gorriz JM; Moosaei H; Khosravi A; Nahavandi S; Gholamzadeh Chofreh A; Goni FA; Klemeš JJ; Mosavi A
    Results Phys; 2021 Aug; 27():104495. PubMed ID: 34221854
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Traffic flow prediction using bi-directional gated recurrent unit method.
    Wang S; Shao C; Zhang J; Zheng Y; Meng M
    Urban Inform; 2022; 1(1):16. PubMed ID: 36471871
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Predicting Energy Consumption Using LSTM, Multi-Layer GRU and Drop-GRU Neural Networks.
    Mahjoub S; Chrifi-Alaoui L; Marhic B; Delahoche L
    Sensors (Basel); 2022 May; 22(11):. PubMed ID: 35684681
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Hybrid Deep Recurrent Neural Networks for Noise Reduction of MEMS-IMU with Static and Dynamic Conditions.
    Han S; Meng Z; Zhang X; Yan Y
    Micromachines (Basel); 2021 Feb; 12(2):. PubMed ID: 33672478
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predictions for COVID-19 with deep learning models of LSTM, GRU and Bi-LSTM.
    Shahid F; Zameer A; Muneeb M
    Chaos Solitons Fractals; 2020 Nov; 140():110212. PubMed ID: 32839642
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A comparative study of statistical and machine learning models on carbon dioxide emissions prediction of China.
    Li X; Zhang X
    Environ Sci Pollut Res Int; 2023 Nov; 30(55):117485-117502. PubMed ID: 37867169
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Research on Indoor Environment Prediction of Pig House Based on OTDBO-TCN-GRU Algorithm.
    Guo Z; Yin Z; Lyu Y; Wang Y; Chen S; Li Y; Zhang W; Gao P
    Animals (Basel); 2024 Mar; 14(6):. PubMed ID: 38539961
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A data-driven hybrid ensemble AI model for COVID-19 infection forecast using multiple neural networks and reinforced learning.
    Jin W; Dong S; Yu C; Luo Q
    Comput Biol Med; 2022 Jul; 146():105560. PubMed ID: 35551008
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Using Complementary Ensemble Empirical Mode Decomposition and Gated Recurrent Unit to Predict Landslide Displacements in Dam Reservoir.
    Yang B; Xiao T; Wang L; Huang W
    Sensors (Basel); 2022 Feb; 22(4):. PubMed ID: 35214220
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Modeling opening price spread of Shanghai Composite Index based on ARIMA-GRU/LSTM hybrid model.
    Si Y; Nadarajah S; Zhang Z; Xu C
    PLoS One; 2024; 19(3):e0299164. PubMed ID: 38478502
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Research on Deformation Prediction of VMD-GRU Deep Foundation Pit Based on PSO Optimization Parameters.
    Liu R; Zhang Q; Jiang F; Zhou J; He J; Mao Z
    Materials (Basel); 2024 May; 17(10):. PubMed ID: 38793264
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Visual field prediction using a deep bidirectional gated recurrent unit network model.
    Kim H; Lee J; Moon S; Kim S; Kim T; Jin SW; Kim JL; Shin J; Lee SU; Jang G; Hu Y; Park JR
    Sci Rep; 2023 Jul; 13(1):11154. PubMed ID: 37429862
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prediction of Head Movement in 360-Degree Videos Using Attention Model.
    Lee D; Choi M; Lee J
    Sensors (Basel); 2021 May; 21(11):. PubMed ID: 34070560
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A CNN-LSTM based deep learning model with high accuracy and robustness for carbon price forecasting: A case of Shenzhen's carbon market in China.
    Shi H; Wei A; Xu X; Zhu Y; Hu H; Tang S
    J Environ Manage; 2024 Feb; 352():120131. PubMed ID: 38266520
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prediction of hepatitis E using machine learning models.
    Guo Y; Feng Y; Qu F; Zhang L; Yan B; Lv J
    PLoS One; 2020; 15(9):e0237750. PubMed ID: 32941452
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Intrinsic and extrinsic techniques for quantification uncertainty of an interpretable GRU deep learning model used to predict atmospheric total suspended particulates (TSP) in Zabol, Iran during the dusty period of 120-days wind.
    Gholami H; Mohammadifar A; Behrooz RD; Kaskaoutis DG; Li Y; Song Y
    Environ Pollut; 2024 Feb; 342():123082. PubMed ID: 38061429
    [TBL] [Abstract][Full Text] [Related]  

  • 18. ANN-LSTM: A deep learning model for early student performance prediction in MOOC.
    Al-Azazi FA; Ghurab M
    Heliyon; 2023 Apr; 9(4):e15382. PubMed ID: 37089306
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep learning-based prediction for time-dependent chloride penetration in concrete exposed to coastal environment.
    Wu L; Wang W; Jiang C
    Heliyon; 2023 Jun; 9(6):e16869. PubMed ID: 37313145
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Real-time prediction of ROP based on GRU-Informer.
    Tu B; Bai K; Zhan C; Zhang W
    Sci Rep; 2024 Jan; 14(1):2133. PubMed ID: 38272964
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.