BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

191 related articles for article (PubMed ID: 32316191)

  • 1. Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms.
    Nhu VH; Shirzadi A; Shahabi H; Singh SK; Al-Ansari N; Clague JJ; Jaafari A; Chen W; Miraki S; Dou J; Luu C; Górski K; Thai Pham B; Nguyen HD; Ahmad BB
    Int J Environ Res Public Health; 2020 Apr; 17(8):. PubMed ID: 32316191
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A novel evolutionary combination of artificial intelligence algorithm and machine learning for landslide susceptibility mapping in the west of Iran.
    Shen Y; Ahmadi Dehrashid A; Bahar RA; Moayedi H; Nasrollahizadeh B
    Environ Sci Pollut Res Int; 2023 Dec; 30(59):123527-123555. PubMed ID: 37987977
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep learning-based landslide susceptibility mapping.
    Azarafza M; Azarafza M; Akgün H; Atkinson PM; Derakhshani R
    Sci Rep; 2021 Dec; 11(1):24112. PubMed ID: 34916586
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A Robust Deep-Learning Model for Landslide Susceptibility Mapping: A Case Study of Kurdistan Province, Iran.
    Ghasemian B; Shahabi H; Shirzadi A; Al-Ansari N; Jaafari A; Kress VR; Geertsema M; Renoud S; Ahmad A
    Sensors (Basel); 2022 Feb; 22(4):. PubMed ID: 35214473
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Optimizing the Predictive Ability of Machine Learning Methods for Landslide Susceptibility Mapping Using SMOTE for Lishui City in Zhejiang Province, China.
    Wang Y; Wu X; Chen Z; Ren F; Feng L; Du Q
    Int J Environ Res Public Health; 2019 Jan; 16(3):. PubMed ID: 30696105
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping.
    Shirzadi A; Soliamani K; Habibnejhad M; Kavian A; Chapi K; Shahabi H; Chen W; Khosravi K; Thai Pham B; Pradhan B; Ahmad A; Bin Ahmad B; Tien Bui D
    Sensors (Basel); 2018 Nov; 18(11):. PubMed ID: 30400627
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Game-theoretic optimization of landslide susceptibility mapping: a comparative study between Bayesian-optimized basic neural network and new generation neural network models.
    Mallick J; Alkahtani M; Hang HT; Singh CK
    Environ Sci Pollut Res Int; 2024 Apr; 31(20):29811-29835. PubMed ID: 38592629
    [TBL] [Abstract][Full Text] [Related]  

  • 8. GIS-based landslide susceptibility mapping in the Longmen Mountain area (China) using three different machine learning algorithms and their comparison.
    Huang Z; Peng L; Li S; Liu Y; Zhou S
    Environ Sci Pollut Res Int; 2023 Aug; 30(38):88612-88626. PubMed ID: 37440134
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A new combined approach of neural-metaheuristic algorithms for predicting and appraisal of landslide susceptibility mapping.
    Moayedi H; Dehrashid AA
    Environ Sci Pollut Res Int; 2023 Jul; 30(34):82964-82989. PubMed ID: 37336850
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Convolutional neural network (CNN) with metaheuristic optimization algorithms for landslide susceptibility mapping in Icheon, South Korea.
    Hakim WL; Rezaie F; Nur AS; Panahi M; Khosravi K; Lee CW; Lee S
    J Environ Manage; 2022 Mar; 305():114367. PubMed ID: 34968941
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Comparison of Support Vector Machine, Naïve Bayes and Logistic Regression for Assessing the Necessity for Coronary Angiography.
    Golpour P; Ghayour-Mobarhan M; Saki A; Esmaily H; Taghipour A; Tajfard M; Ghazizadeh H; Moohebati M; Ferns GA
    Int J Environ Res Public Health; 2020 Sep; 17(18):. PubMed ID: 32899733
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment.
    Nhu VH; Mohammadi A; Shahabi H; Ahmad BB; Al-Ansari N; Shirzadi A; Clague JJ; Jaafari A; Chen W; Nguyen H
    Int J Environ Res Public Health; 2020 Jul; 17(14):. PubMed ID: 32650595
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Land subsidence susceptibility mapping: a new approach to improve decision stump classification (DSC) performance and combine it with four machine learning algorithms.
    Zhao R; Arabameri A; Santosh M
    Environ Sci Pollut Res Int; 2024 Feb; 31(10):15443-15466. PubMed ID: 38300491
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Selecting optimal conditioning parameters for landslide susceptibility: an experimental research on Aqabat Al-Sulbat, Saudi Arabia.
    Alqadhi S; Mallick J; Talukdar S; Bindajam AA; Van Hong N; Saha TK
    Environ Sci Pollut Res Int; 2022 Jan; 29(3):3743-3762. PubMed ID: 34389958
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Landslide susceptibility prediction improvements based on a semi-integrated supervised machine learning model.
    Yang N; Wang R; Liu Z; Yao Z
    Environ Sci Pollut Res Int; 2023 Apr; 30(17):50280-50294. PubMed ID: 36792857
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Hybrid machine learning approach for landslide prediction, Uttarakhand, India.
    Kainthura P; Sharma N
    Sci Rep; 2022 Nov; 12(1):20101. PubMed ID: 36418362
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Slide type landslide susceptibility assessment of the Büyük Menderes watershed using artificial neural network method.
    Tekin S; Çan T
    Environ Sci Pollut Res Int; 2022 Jul; 29(31):47174-47188. PubMed ID: 35178630
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Dynamic landslide susceptibility mapping based on the PS-InSAR deformation intensity.
    Jin B; Zeng T; Yin K; Gui L; Guo Z; Wang T
    Environ Sci Pollut Res Int; 2024 Jan; 31(5):7872-7888. PubMed ID: 38170358
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.