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 *

158 related articles for article (PubMed ID: 32717458)

  • 1. Landslide displacement interval prediction using lower upper bound estimation method with pre-trained random vector functional link network initialization.
    Lian C; Zeng Z; Wang X; Yao W; Su Y; Tang H
    Neural Netw; 2020 Oct; 130():286-296. PubMed ID: 32717458
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Landslide Displacement Prediction With Uncertainty Based on Neural Networks With Random Hidden Weights.
    Lian C; Zeng Z; Yao W; Tang H; Chen CL
    IEEE Trans Neural Netw Learn Syst; 2016 Dec; 27(12):2683-2695. PubMed ID: 26761907
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Forecasting of Landslide Displacement Using a Probability-Scheme Combination Ensemble Prediction Technique.
    Ma J; Liu X; Niu X; Wang Y; Wen T; Zhang J; Zou Z
    Int J Environ Res Public Health; 2020 Jul; 17(13):. PubMed ID: 32635227
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Lower upper bound estimation method for construction of neural network-based prediction intervals.
    Khosravi A; Nahavandi S; Creighton D; Atiya AF
    IEEE Trans Neural Netw; 2011 Mar; 22(3):337-46. PubMed ID: 21189235
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Combination of Geographically Weighted Regression, Particle Swarm Optimization and Support Vector Machine for Landslide Susceptibility Mapping: A Case Study at Wanzhou in the Three Gorges Area, China.
    Yu X; Wang Y; Niu R; Hu Y
    Int J Environ Res Public Health; 2016 May; 13(5):. PubMed ID: 27187430
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Novel Model for Landslide Displacement Prediction Based on EDR Selection and Multi-Swarm Intelligence Optimization Algorithm.
    Zhang J; Tang H; Tannant DD; Lin C; Xia D; Wang Y; Wang Q
    Sensors (Basel); 2021 Dec; 21(24):. PubMed ID: 34960445
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. A Hybrid Landslide Displacement Prediction Method Based on CEEMD and DTW-ACO-SVR-Cases Studied in the Three Gorges Reservoir Area.
    Zhang J; Tang H; Wen T; Ma J; Tan Q; Xia D; Liu X; Zhang Y
    Sensors (Basel); 2020 Jul; 20(15):. PubMed ID: 32752029
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Combined SBAS-InSAR and PSO-RF Algorithm for Evaluating the Susceptibility Prediction of Landslide in Complex Mountainous Area: A Case Study of Ludian County, China.
    Xiao B; Zhao J; Li D; Zhao Z; Zhou D; Xi W; Li Y
    Sensors (Basel); 2022 Oct; 22(20):. PubMed ID: 36298394
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Automated Landslide-Risk Prediction Using Web GIS and Machine Learning Models.
    Tengtrairat N; Woo WL; Parathai P; Aryupong C; Jitsangiam P; Rinchumphu D
    Sensors (Basel); 2021 Jul; 21(13):. PubMed ID: 34283153
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Data Mining and Deep Learning for Predicting the Displacement of "Step-like" Landslides.
    Miao F; Xie X; Wu Y; Zhao F
    Sensors (Basel); 2022 Jan; 22(2):. PubMed ID: 35062442
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Training radial basis function networks for wind speed prediction using PSO enhanced differential search optimizer.
    Rani R HJ; Victoire T AA
    PLoS One; 2018; 13(5):e0196871. PubMed ID: 29768463
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Landslide Displacement Prediction Based on Multivariate LSTM Model.
    Duan G; Su Y; Fu J
    Int J Environ Res Public Health; 2023 Jan; 20(2):. PubMed ID: 36673921
    [TBL] [Abstract][Full Text] [Related]  

  • 15. MEEMD Decomposition-Prediction-Reconstruction Model of Precipitation Time Series.
    Wang Y; Liu J; Li R; Suo X; Lu E
    Sensors (Basel); 2022 Aug; 22(17):. PubMed ID: 36080874
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Establishment of Landslide Groundwater Level Prediction Model Based on GA-SVM and Influencing Factor Analysis.
    Cao Y; Yin K; Zhou C; Ahmed B
    Sensors (Basel); 2020 Feb; 20(3):. PubMed ID: 32033307
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Mine landslide susceptibility assessment using IVM, ANN and SVM models considering the contribution of affecting factors.
    Luo X; Lin F; Zhu S; Yu M; Zhang Z; Meng L; Peng J
    PLoS One; 2019; 14(4):e0215134. PubMed ID: 30973936
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A water quality prediction model based on variational mode decomposition and the least squares support vector machine optimized by the sparrow search algorithm (VMD-SSA-LSSVM) of the Yangtze River, China.
    Song C; Yao L; Hua C; Ni Q
    Environ Monit Assess; 2021 May; 193(6):363. PubMed ID: 34041601
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A landslide susceptibility map based on spatial scale segmentation: A case study at Zigui-Badong in the Three Gorges Reservoir Area, China.
    Yu X; Gao H
    PLoS One; 2020; 15(3):e0229818. PubMed ID: 32160206
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Susceptibility mapping and zoning of highway landslide disasters in China.
    Yin C; Li H; Che F; Li Y; Hu Z; Liu D
    PLoS One; 2020; 15(9):e0235780. PubMed ID: 32886925
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.