BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

186 related articles for article (PubMed ID: 32320885)

  • 1. A novel ensemble computational intelligence approach for the spatial prediction of land subsidence susceptibility.
    Arabameri A; Saha S; Roy J; Tiefenbacher JP; Cerda A; Biggs T; Pradhan B; Thi Ngo PT; Collins AL
    Sci Total Environ; 2020 Jul; 726():138595. PubMed ID: 32320885
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Land subsidence modelling using tree-based machine learning algorithms.
    Rahmati O; Falah F; Naghibi SA; Biggs T; Soltani M; Deo RC; Cerdà A; Mohammadi F; Tien Bui D
    Sci Total Environ; 2019 Jul; 672():239-252. PubMed ID: 30959291
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Stacking- and voting-based ensemble deep learning models (SEDL and VEDL) and active learning (AL) for mapping land subsidence.
    Mohammadifar A; Gholami H; Golzari S
    Environ Sci Pollut Res Int; 2023 Feb; 30(10):26580-26595. PubMed ID: 36369445
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comparison of multi-criteria and artificial intelligence models for land-subsidence susceptibility zonation.
    Arabameri A; Chandra Pal S; Rezaie F; Chakrabortty R; Chowdhuri I; Blaschke T; Thi Ngo PT
    J Environ Manage; 2021 Apr; 284():112067. PubMed ID: 33556831
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Land subsidence susceptibility mapping: comparative assessment of the efficacy of the five models.
    Zhang L; Arabameri A; Santosh M; Pal SC
    Environ Sci Pollut Res Int; 2023 Jul; 30(31):77830-77849. PubMed ID: 37266775
    [TBL] [Abstract][Full Text] [Related]  

  • 6. GIS-based groundwater potential mapping in Shahroud plain, Iran. A comparison among statistical (bivariate and multivariate), data mining and MCDM approaches.
    Arabameri A; Rezaei K; Cerda A; Lombardo L; Rodrigo-Comino J
    Sci Total Environ; 2019 Mar; 658():160-177. PubMed ID: 30577015
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Land subsidence susceptibility mapping using PWRSTFAL framework and analytic hierarchy process: fuzzy method (case study: Damaneh-Daran Plain in the west of Isfahan Province, Iran).
    Chitsazan M; Rahmani G; Ghafoury H
    Environ Monit Assess; 2022 Feb; 194(3):192. PubMed ID: 35169888
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Spatial prediction of ground subsidence susceptibility using an artificial neural network.
    Lee S; Park I; Choi JK
    Environ Manage; 2012 Feb; 49(2):347-58. PubMed ID: 22005969
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Modeling landslide susceptibility using LogitBoost alternating decision trees and forest by penalizing attributes with the bagging ensemble.
    Hong H; Liu J; Zhu AX
    Sci Total Environ; 2020 May; 718():137231. PubMed ID: 32097835
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Application of genetic algorithm in optimization parallel ensemble-based machine learning algorithms to flood susceptibility mapping using radar satellite imagery.
    Razavi-Termeh SV; Sadeghi-Niaraki A; Seo M; Choi SM
    Sci Total Environ; 2023 May; 873():162285. PubMed ID: 36801341
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Spatiotemporal modeling of land subsidence using a geographically weighted deep learning method based on PS-InSAR.
    Li H; Zhu L; Dai Z; Gong H; Guo T; Guo G; Wang J; Teatini P
    Sci Total Environ; 2021 Dec; 799():149244. PubMed ID: 34365261
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Application of novel framework approach for prediction of nitrate concentration susceptibility in coastal multi-aquifers, Bangladesh.
    Islam ARMT; Pal SC; Chowdhuri I; Salam R; Islam MS; Rahman MM; Zahid A; Idris AM
    Sci Total Environ; 2021 Dec; 801():149811. PubMed ID: 34467937
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Delimitation of groundwater zones under contamination risk using a bagged ensemble of optimized DRASTIC frameworks.
    Barzegar R; Asghari Moghaddam A; Adamowski J; Nazemi AH
    Environ Sci Pollut Res Int; 2019 Mar; 26(8):8325-8339. PubMed ID: 30706265
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Spatial modeling of land subsidence using machine learning models and statistical methods.
    Sekkeravani MA; Bazrafshan O; Pourghasemi HR; Holisaz A
    Environ Sci Pollut Res Int; 2022 Apr; 29(19):28866-28883. PubMed ID: 34993808
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Novel Entropy and Rotation Forest-Based Credal Decision Tree Classifier for Landslide Susceptibility Modeling.
    He Q; Xu Z; Li S; Li R; Zhang S; Wang N; Pham BT; Chen W
    Entropy (Basel); 2019 Jan; 21(2):. PubMed ID: 33266822
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Performance assessment of individual and ensemble data-mining techniques for gully erosion modeling.
    Pourghasemi HR; Yousefi S; Kornejady A; Cerdà A
    Sci Total Environ; 2017 Dec; 609():764-775. PubMed ID: 28763673
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of groundwater drawdown using artificial neural networks.
    Gholami V; Sahour H
    Environ Sci Pollut Res Int; 2022 May; 29(22):33544-33557. PubMed ID: 35031998
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Land subsidence hazard modeling: Machine learning to identify predictors and the role of human activities.
    Rahmati O; Golkarian A; Biggs T; Keesstra S; Mohammadi F; Daliakopoulos IN
    J Environ Manage; 2019 Apr; 236():466-480. PubMed ID: 30771667
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Application of rotation forest with decision trees as base classifier and a novel ensemble model in spatial modeling of groundwater potential.
    Naghibi SA; Dolatkordestani M; Rezaei A; Amouzegari P; Heravi MT; Kalantar B; Pradhan B
    Environ Monit Assess; 2019 Mar; 191(4):248. PubMed ID: 30919064
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam.
    Nguyen PT; Ha DH; Jaafari A; Nguyen HD; Van Phong T; Al-Ansari N; Prakash I; Le HV; Pham BT
    Int J Environ Res Public Health; 2020 Apr; 17(7):. PubMed ID: 32260438
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 10.