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Работы, на которые ссылается эта работа

Работ: 105

Работа: Landslide Susceptibility Assessment Using Recurrent Neural Network (RNN)—A Case of Chabahar and Konarak in Iran

  1. Comparative analysis of statistical methods for landslide susceptibility mapping in the Bostanlik District, Uzbekistan

    Mukhiddin Juliev, Martin Mergili, Ismail Mondal +3

    СтатьяLandslides and related hazardsThe Science of The Total Environment2018Цитирований: 11
    ABI

  2. A review of statistically-based landslide susceptibility models

    Paola Reichenbach, Mauro Rossi, Bruce D. Malamud +2

    Обзорная статья2018Цитирований: 6
    ABI

  3. A comparison of landslide susceptibility maps produced by logistic regression, multi-criteria decision, and likelihood ratio methods: a case study at İzmir, Turkey

    Aykut Akgün

    Статья2011Цитирований: 3
    ABI

  4. Landslide susceptibility estimation by random forests technique: sensitivity and scaling issues

    Filippo Catani, Daniela Lagomarsino, Samuele Segoni +1

    Статья2013Цитирований: 3
    ABI

  5. Large landslides associated with a diapiric fold in Canelles Reservoir (Spanish Pyrenees): Detailed geological–geomorphological mapping, trenching and electrical resistivity imaging

    Francisco Gutiérrez, Rogelio Linares, Carles Roqué i Pau +4

    Статья2015Цитирований: 2
    ABI

  6. Landslide susceptibility analysis in central Vietnam based on an incomplete landslide inventory: Comparison of a new method to calculate weighting factors by means of bivariate statistics

    Markus Meinhardt, Manfred Fink, Hannes Tünschel

    Статья2015Цитирований: 2
    ABI

  7. Evaluation of Remote-Sensing-Based Landslide Inventories for Hazard Assessment in Southern Kyrgyzstan

    Darya Golovko, Sigrid Roessner, Robert Behling +2

    Статья2017Цитирований: 2
    ABI

  8. A novel hybrid integration model using support vector machines and random subspace for weather-triggered landslide susceptibility assessment in the Wuning area (China)

    Haoyuan Hong, Junzhi Liu, A‐Xing Zhu +5

    Статья2017Цитирований: 2
    ABI

  9. Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)

    Haoyuan Hong, Junzhi Liu, Dieu Tien Bui +6

    Статья2018Цитирований: 2
    ABI

  10. Comparison of Logistic Regression and Random Forests techniques for shallow landslide susceptibility assessment in Giampilieri (NE Sicily, Italy)

    Alessandro Trigila, Carla Iadanza, Carlo Esposito +1

    Статья2015Цитирований: 2
    ABI

  11. Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches

    Binh Thai Pham, Indra Prakash, Sushant K. Singh +4

    Статья2018Цитирований: 2
    ABI

  12. Landslide susceptibility mapping using multiscale sampling strategy and convolutional neural network: A case study in Jiuzhaigou region

    Yaning Yi, Zhijie Zhang, Wanchang Zhang +2

    Статья2020Цитирований: 2
    ABI

  13. Tien Shan Geohazards Database: Landslide susceptibility analysis

    Hans‐Balder Havenith, Almazbek Torgoev, Romy Schlögel +3

    Статья2015Цитирований: 2
    ABI

  14. Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS

    Mahyat Shafapour Tehrany, Biswajeet Pradhan, Mustafa Neamah Jebur

    Статья2013Цитирований: 2
    ABI

  15. Spatial prediction of rainfall-induced landslides for the Lao Cai area (Vietnam) using a hybrid intelligent approach of least squares support vector machines inference model and artificial bee colony optimization

    Dieu Tien Bui, Trần Anh Tuấn, Nhat‐Duc Hoang +4

    Статья2016Цитирований: 2
    ABI

  16. Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling

    Wei Chen, Shuai Zhang, Renwei Li +1

    Статья2018Цитирований: 2
    ABI

  17. Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network

    A. Sherstinsky

    Статья2020Цитирований: 2
    ABI

  18. Image Classification Using Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN): A Review

    Patel Dhruv, Subham Naskar

    Обзорная статья2020Цитирований: 2
    ABI

  19. Spatiotemporal variations of fatal landslides in Turkey

    Tolga Görüm, Seçkin Fidan

    Статья2021Цитирований: 2
    ABI

  20. Без названия

    ДругоеЦитирований: 1
    ABI

  21. Без названия

    ДругоеЦитирований: 1
    ABI

  22. Без названия

    ДругоеЦитирований: 1
    ABI

  23. Без названия

    ДругоеЦитирований: 1
    ABI

  24. Без названия

    ДругоеЦитирований: 1
    ABI

  25. Без названия

    ДругоеЦитирований: 1
    ABI