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 *

106 related articles for article (PubMed ID: 38316972)

  • 1. A novel extreme adaptive GRU for multivariate time series forecasting.
    Zhang Y; Wu R; Dascalu SM; Harris FC
    Sci Rep; 2024 Feb; 14(1):2991. PubMed ID: 38316972
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Forecasting Pedestrian Movements Using Recurrent Neural Networks: An Application of Crowd Monitoring Data.
    Duives DC; Wang G; Kim J
    Sensors (Basel); 2019 Jan; 19(2):. PubMed ID: 30669293
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Recurrent transform learning.
    Majumdar A; Gupta M
    Neural Netw; 2019 Oct; 118():271-279. PubMed ID: 31326661
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An Experimental Review on Deep Learning Architectures for Time Series Forecasting.
    Lara-Benítez P; Carranza-García M; Riquelme JC
    Int J Neural Syst; 2021 Mar; 31(3):2130001. PubMed ID: 33588711
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identifying geopolitical event precursors using attention-based LSTMs.
    Hossain KSMT; Harutyunyan H; Ning Y; Kennedy B; Ramakrishnan N; Galstyan A
    Front Artif Intell; 2022; 5():893875. PubMed ID: 36388399
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Mid-long term forecasting of reservoir inflow using the coupling of time-varying filter-based empirical mode decomposition and gated recurrent unit.
    Wang X; Zhang S; Qiao H; Liu L; Tian F
    Environ Sci Pollut Res Int; 2022 Dec; 29(58):87200-87217. PubMed ID: 35804225
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Extended-Range Prediction Model Using NSGA-III Optimized RNN-GRU-LSTM for Driver Stress and Drowsiness.
    Chui KT; Gupta BB; Liu RW; Zhang X; Vasant P; Thomas JJ
    Sensors (Basel); 2021 Sep; 21(19):. PubMed ID: 34640732
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An Attention-Based Multilayer GRU Model for Multistep-Ahead Short-Term Load Forecasting
    Jung S; Moon J; Park S; Hwang E
    Sensors (Basel); 2021 Feb; 21(5):. PubMed ID: 33652726
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A novel recurrent neural network approach in forecasting short term solar irradiance.
    Jaihuni M; Basak JK; Khan F; Okyere FG; Sihalath T; Bhujel A; Park J; Lee DH; Kim HT
    ISA Trans; 2022 Feb; 121():63-74. PubMed ID: 33840460
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep belief improved bidirectional LSTM for multivariate time series forecasting.
    Jiang K; Huang Z; Zhou X; Tong C; Zhu M; Wang H
    Math Biosci Eng; 2023 Aug; 20(9):16596-16627. PubMed ID: 37920025
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Spatial-Temporal Convolutional Transformer Network for Multivariate Time Series Forecasting.
    Huang L; Mao F; Zhang K; Li Z
    Sensors (Basel); 2022 Jan; 22(3):. PubMed ID: 35161585
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Differentially private multivariate time series forecasting of aggregated human mobility with deep learning: Input or gradient perturbation?
    Arcolezi HH; Couchot JF; Renaud D; Al Bouna B; Xiao X
    Neural Comput Appl; 2022; 34(16):13355-13369. PubMed ID: 35677085
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Hierarchical attention network for multivariate time series long-term forecasting.
    Bi H; Lu L; Meng Y
    Appl Intell (Dordr); 2023; 53(5):5060-5071. PubMed ID: 35730045
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Attention-Based Spatial-Temporal Convolution Gated Recurrent Unit for Traffic Flow Forecasting.
    Zhang Q; Chang W; Yin C; Xiao P; Li K; Tan M
    Entropy (Basel); 2023 Jun; 25(6):. PubMed ID: 37372282
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Uncertainty and sensitivity analysis of deep learning models for diurnal temperature range (DTR) forecasting over five Indian cities.
    Sankalp S; Sahoo BB; Sahoo SN
    Environ Monit Assess; 2023 Jan; 195(2):291. PubMed ID: 36633692
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Effective short-term forecasts of Saudi stock price trends using technical indicators and large-scale multivariate time series.
    Aseeri AO
    PeerJ Comput Sci; 2023; 9():e1205. PubMed ID: 37346647
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multiscaled Neural Autoregressive Distributed Lag: A New Empirical Mode Decomposition Model for Nonlinear Time Series Forecasting.
    Saâdaoui F; Messaoud OB
    Int J Neural Syst; 2020 Aug; 30(8):2050039. PubMed ID: 32588684
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep Time Series Forecasting With Shape and Temporal Criteria.
    Le Guen V; Thome N
    IEEE Trans Pattern Anal Mach Intell; 2023 Jan; 45(1):342-355. PubMed ID: 35201980
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Short-term solar energy forecasting: Integrated computational intelligence of LSTMs and GRU.
    Zameer A; Jaffar F; Shahid F; Muneeb M; Khan R; Nasir R
    PLoS One; 2023; 18(10):e0285410. PubMed ID: 37792739
    [TBL] [Abstract][Full Text] [Related]  

  • 20. RNNCon: Contribution Coverage Testing for Stacked Recurrent Neural Networks.
    Du X; Zeng H; Chen S; Lei Z
    Entropy (Basel); 2023 Mar; 25(3):. PubMed ID: 36981408
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.