Advanced data mining techniques for landslide susceptibility mapping-Reference-Cited by-同舟云学术

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Advanced data mining techniques for landslide susceptibility mapping

Published:2021-01-01 Issue:1 Volume:12 Page:2430-2461
ISSN:1947-5705
Container-title:Geomatics, Natural Hazards and Risk
language:en
Short-container-title:Geomatics, Natural Hazards and Risk

Author:

Ibrahim Muhammad Bello¹²,Mustaffa Zahiraniza¹,Balogun Abdul-Lateef¹,Hamonangan Harahap Indra Sati³,Ali Khan Mudassir¹

Affiliation:

1. Department of Civil and Environmental Engineering, Universiti Teknologi PETRONAS Persiaran UTP, Seri Iskandar, Perak

2. Department of Civil Engineering, Hussaini Adamu Federal Polytechnique, Kazaure, Jigawa State, Nigeria

3. Civil Engineering Department, Universitas Islam, Krawitan, Umbulmartani, Ngemplak, Sleman Regency, Special Region of Yogyakarta, Indonesia

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19475705.2021.1960433

Reference119 articles.

1. Landslide Susceptibility Mapping using Relative Frequency and Predictor Rate along Araniko Highway

2. How do machine learning techniques help in increasing accuracy of landslide susceptibility maps?

3. An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm

4. A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping

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1. Assessment of groundwater potential modeling using support vector machine optimization based on Bayesian multi-objective hyperparameter algorithm;Applied Soft Computing;2023-01

2. Assessment of Physical Vulnerability and Uncertainties for Debris Flow Hazard: A Review concerning Climate Change;Land;2022-12-08

3. Regional seismic landslide susceptibility assessment considering the rock mass strength heterogeneity;Geomatics, Natural Hazards and Risk;2022-12-08

4. Highway Proneness Appraisal to Landslides along Taiping to Ipoh Segment Malaysia, Using MCDM and GIS Techniques;Sustainability;2022-07-25

5. Framework for the identification of shallow ground movement in modified slopes (an expert opinion);IOP Conference Series: Earth and Environmental Science;2022-07-01

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