263 related articles for article (PubMed ID: 33266608)
1. Hybrid Integration Approach of Entropy with Logistic Regression and Support Vector Machine for Landslide Susceptibility Modeling.
Zhang T; Han L; Chen W; Shahabi H
Entropy (Basel); 2018 Nov; 20(11):. PubMed ID: 33266608
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. The Influence of Different Knowledge-Driven Methods on Landslide Susceptibility Mapping: A Case Study in the Changbai Mountain Area, Northeast China.
Ma Z; Qin S; Cao C; Lv J; Li G; Qiao S; Hu X
Entropy (Basel); 2019 Apr; 21(4):. PubMed ID: 33267086
[TBL] [Abstract][Full Text] [Related]
5. Quantitative Assessment of Landslide Susceptibility Comparing Statistical Index, Index of Entropy, and Weights of Evidence in the Shangnan Area, China.
Liu J; Duan Z
Entropy (Basel); 2018 Nov; 20(11):. PubMed ID: 33266593
[TBL] [Abstract][Full Text] [Related]
6. Evaluation of Landslide Susceptibility Based on CF-SVM in Nujiang Prefecture.
Li Y; Deng X; Ji P; Yang Y; Jiang W; Zhao Z
Int J Environ Res Public Health; 2022 Oct; 19(21):. PubMed ID: 36361126
[TBL] [Abstract][Full Text] [Related]
7. GIS-based data-driven bivariate statistical models for landslide susceptibility prediction in Upper Tista Basin, India.
Das J; Saha P; Mitra R; Alam A; Kamruzzaman M
Heliyon; 2023 May; 9(5):e16186. PubMed ID: 37234665
[TBL] [Abstract][Full Text] [Related]
8. Assessment of Landslide Susceptibility Using Integrated Ensemble Fractal Dimension with Kernel Logistic Regression Model.
Zhang T; Han L; Han J; Li X; Zhang H; Wang H
Entropy (Basel); 2019 Feb; 21(2):. PubMed ID: 33266933
[TBL] [Abstract][Full Text] [Related]
9. Landslide Susceptibility Evaluation of Machine Learning Based on Information Volume and Frequency Ratio: A Case Study of Weixin County, China.
He W; Chen G; Zhao J; Lin Y; Qin B; Yao W; Cao Q
Sensors (Basel); 2023 Feb; 23(5):. PubMed ID: 36904752
[TBL] [Abstract][Full Text] [Related]
10. Zonation of Landslide Susceptibility in Ruijin, Jiangxi, China.
Zhou X; Wu W; Lin Z; Zhang G; Chen R; Song Y; Wang Z; Lang T; Qin Y; Ou P; Huangfu W; Zhang Y; Xie L; Huang X; Fu X; Li J; Jiang J; Zhang M; Liu Y; Peng S; Shao C; Bai Y; Zhang X; Liu X; Liu W
Int J Environ Res Public Health; 2021 May; 18(11):. PubMed ID: 34072874
[TBL] [Abstract][Full Text] [Related]
11. Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China.
Chen W; Peng J; Hong H; Shahabi H; Pradhan B; Liu J; Zhu AX; Pei X; Duan Z
Sci Total Environ; 2018 Jun; 626():1121-1135. PubMed ID: 29898519
[TBL] [Abstract][Full Text] [Related]
12. Introducing a novel multi-layer perceptron network based on stochastic gradient descent optimized by a meta-heuristic algorithm for landslide susceptibility mapping.
Hong H; Tsangaratos P; Ilia I; Loupasakis C; Wang Y
Sci Total Environ; 2020 Nov; 742():140549. PubMed ID: 32629264
[TBL] [Abstract][Full Text] [Related]
13. Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan.
Dou J; Yunus AP; Tien Bui D; Merghadi A; Sahana M; Zhu Z; Chen CW; Khosravi K; Yang Y; Pham BT
Sci Total Environ; 2019 Apr; 662():332-346. PubMed ID: 30690368
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. A python system for regional landslide susceptibility assessment by integrating machine learning models and its application.
Guo Z; Guo F; Zhang Y; He J; Li G; Yang Y; Zhang X
Heliyon; 2023 Nov; 9(11):e21542. PubMed ID: 38027891
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Evaluation of Different Landslide Susceptibility Models for a Local Scale in the Chitral District, Northern Pakistan.
Aslam B; Maqsoom A; Khalil U; Ghorbanzadeh O; Blaschke T; Farooq D; Tufail RF; Suhail SA; Ghamisi P
Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35590797
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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]
[Next] [New Search]
