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 *

187 related articles for article (PubMed ID: 34716368)

  • 1. Assessment of earthquake-induced landslide inventories and susceptibility maps using slope unit-based logistic regression and geospatial statistics.
    Pokharel B; Alvioli M; Lim S
    Sci Rep; 2021 Oct; 11(1):21333. PubMed ID: 34716368
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Exploring machine learning and statistical approach techniques for landslide susceptibility mapping in Siwalik Himalayan Region using geospatial technology.
    Saha A; Tripathi L; Villuri VGK; Bhardwaj A
    Environ Sci Pollut Res Int; 2024 Feb; 31(7):10443-10459. PubMed ID: 38198087
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Evaluation of landslides susceptibility in Southeastern Tibet considering seismic sensitivity.
    Yeqi Z; Yonggang G; Guowen W; Shengjie W
    Heliyon; 2024 Sep; 10(18):e36800. PubMed ID: 39309935
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Mapping landslide susceptibility using data-driven methods.
    Zêzere JL; Pereira S; Melo R; Oliveira SC; Garcia RAC
    Sci Total Environ; 2017 Jul; 589():250-267. PubMed ID: 28262363
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Spatio-temporal landslide inventory and susceptibility assessment using Sentinel-2 in the Himalayan mountainous region of Pakistan.
    Bacha AS; Shafique M; van der Werff H; van der Meijde M; Hussain ML; Wahid S
    Environ Monit Assess; 2022 Sep; 194(11):845. PubMed ID: 36175580
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Integration of Spatial Probability and Size in Slope-Unit-Based Landslide Susceptibility Assessment: A Case Study.
    Li L; Lan H
    Int J Environ Res Public Health; 2020 Nov; 17(21):. PubMed ID: 33139639
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Development of landslide susceptibility maps of Tripura, India using GIS and analytical hierarchy process (AHP).
    Nath NK; Gautam VK; Pande CB; Mishra LR; Raju JT; Moharir KN; Rane NL
    Environ Sci Pollut Res Int; 2024 Jan; 31(5):7481-7497. PubMed ID: 38159190
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Role of landslides on the volume balance of the Nepal 2015 earthquake sequence.
    Valagussa A; Frattini P; Valbuzzi E; Crosta GB
    Sci Rep; 2021 Feb; 11(1):3434. PubMed ID: 33564079
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Novel Performance Assessment Approach Using Photogrammetric Techniques for Landslide Susceptibility Mapping with Logistic Regression, ANN and Random Forest.
    Sevgen E; Kocaman S; Nefeslioglu HA; Gokceoglu C
    Sensors (Basel); 2019 Sep; 19(18):. PubMed ID: 31547342
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Landslide Susceptibility Evaluation Using Different Slope Units Based on BP Neural Network.
    Huang J; Zeng X; Ding L; Yin Y; Li Y
    Comput Intell Neurosci; 2022; 2022():9923775. PubMed ID: 35655489
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Optimization of Causative Factors for Landslide Susceptibility Evaluation Using Remote Sensing and GIS Data in Parts of Niigata, Japan.
    Dou J; Tien Bui D; Yunus AP; Jia K; Song X; Revhaug I; Xia H; Zhu Z
    PLoS One; 2015; 10(7):e0133262. PubMed ID: 26214691
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Landslide Susceptibility Assessment Using Spatial Multi-Criteria Evaluation Model in Rwanda.
    Nsengiyumva JB; Luo G; Nahayo L; Huang X; Cai P
    Int J Environ Res Public Health; 2018 Jan; 15(2):. PubMed ID: 29385096
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Comparing probabilistic and statistical methods in landslide susceptibility modeling in Rwanda/Centre-Eastern Africa.
    Nsengiyumva JB; Luo G; Amanambu AC; Mind'je R; Habiyaremye G; Karamage F; Ochege FU; Mupenzi C
    Sci Total Environ; 2019 Apr; 659():1457-1472. PubMed ID: 31096356
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Insights into geospatial heterogeneity of landslide susceptibility based on the SHAP-XGBoost model.
    Zhang J; Ma X; Zhang J; Sun D; Zhou X; Mi C; Wen H
    J Environ Manage; 2023 Apr; 332():117357. PubMed ID: 36731409
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Enhancing co-seismic landslide susceptibility, building exposure, and risk analysis through machine learning.
    Pyakurel A; K C D; Dahal BK
    Sci Rep; 2024 Mar; 14(1):5902. PubMed ID: 38467642
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Event-based landslide susceptibility models in Shihmen watershed, Taiwan: accounting for the characteristics of rainfall events.
    Wu CY; Lin SY
    Environ Monit Assess; 2022 May; 194(6):405. PubMed ID: 35522350
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Seismic landslide susceptibility assessment using principal component analysis and support vector machine.
    Xu Z; Che A; Zhou H
    Sci Rep; 2024 Feb; 14(1):3734. PubMed ID: 38355620
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Framework for rainfall-triggered landslide-prone critical infrastructure zonation.
    Gnyawali K; Dahal K; Talchabhadel R; Nirandjan S
    Sci Total Environ; 2023 May; 872():162242. PubMed ID: 36804983
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comparison of Random Forest Model and Frequency Ratio Model for Landslide Susceptibility Mapping (LSM) in Yunyang County (Chongqing, China).
    Wang Y; Sun D; Wen H; Zhang H; Zhang F
    Int J Environ Res Public Health; 2020 Jun; 17(12):. PubMed ID: 32545618
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comparison of earthquake-induced shallow landslide susceptibility assessment based on two-category LR and KDE-MLR.
    Fan X; Liu B; Luo J; Pan K; Han S; Zhou Z
    Sci Rep; 2023 Jan; 13(1):833. PubMed ID: 36646745
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.