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 *

116 related articles for article (PubMed ID: 37277358)

  • 1. A revised landslide inventory of the Campania region (Italy).
    Fusco F; Tufano R; De Vita P; Di Martire D; Di Napoli M; Guerriero L; Mileti FA; Terribile F; Calcaterra D
    Sci Data; 2023 Jun; 10(1):355. PubMed ID: 37277358
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Using citizen science to expand the global map of landslides: Introducing the Cooperative Open Online Landslide Repository (COOLR).
    Juang CS; Stanley TA; Kirschbaum DB
    PLoS One; 2019; 14(7):e0218657. PubMed ID: 31269035
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. Using archaeological and geomorphological evidence for the establishment of a relative chronology and evolution pattern for Holocene landslides.
    Niculiţă M; Mărgărint MC; Cristea AI
    PLoS One; 2019; 14(12):e0227335. PubMed ID: 31891649
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identifying recurrent and persistent landslides using satellite imagery and deep learning: A 30-year analysis of the Himalaya.
    Chen TK; Kincey ME; Rosser NJ; Seto KC
    Sci Total Environ; 2024 Apr; 922():171161. PubMed ID: 38387570
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Landslides susceptibility change over time according to terrain conditions in a mountain area of the tropic region.
    Pineda MC; Viloria J; Martínez-Casasnovas JA
    Environ Monit Assess; 2016 Apr; 188(4):255. PubMed ID: 27358998
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Spatial prediction of landslide susceptibility in parts of Garhwal Himalaya, India, using the weight of evidence modelling.
    Guri PK; Ray PK; Patel RC
    Environ Monit Assess; 2015 Jun; 187(6):324. PubMed ID: 25944750
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Generating multi-temporal landslide inventories through a general deep transfer learning strategy using HR EO data.
    Bhuyan K; Tanyaş H; Nava L; Puliero S; Meena SR; Floris M; van Westen C; Catani F
    Sci Rep; 2023 Jan; 13(1):162. PubMed ID: 36599911
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Landslide Susceptibility Mapping Using Machine Learning Algorithm Validated by Persistent Scatterer In-SAR Technique.
    Hussain MA; Chen Z; Zheng Y; Shoaib M; Shah SU; Ali N; Afzal Z
    Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35590807
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A heuristic approach to global landslide susceptibility mapping.
    Stanley T; Kirschbaum DB
    Nat Hazards (Dordr); 2017 May; 87(1):145-164. PubMed ID: 33867675
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Analysis of landslide explicative factors and susceptibility mapping in an andean context: The case of Azuay province (Ecuador).
    Cobos-Mora SL; Rodriguez-Galiano V; Lima A
    Heliyon; 2023 Sep; 9(9):e20170. PubMed ID: 37809729
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Landslide Susceptibility Mapping by Fusing Convolutional Neural Networks and Vision Transformer.
    Bao S; Liu J; Wang L; Konečný M; Che X; Xu S; Li P
    Sensors (Basel); 2022 Dec; 23(1):. PubMed ID: 36616685
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Relation between land cover and landslide susceptibility in Val d'Aran, Pyrenees (Spain): Historical aspects, present situation and forward prediction.
    Shu H; Hürlimann M; Molowny-Horas R; González M; Pinyol J; Abancó C; Ma J
    Sci Total Environ; 2019 Nov; 693():133557. PubMed ID: 31369891
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Integration of Vulnerability and Hazard Factors for Landslide Risk Assessment.
    Arrogante-Funes P; Bruzón AG; Arrogante-Funes F; Ramos-Bernal RN; Vázquez-Jiménez R
    Int J Environ Res Public Health; 2021 Nov; 18(22):. PubMed ID: 34831741
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 6.