Machine learning for predicting landslide risk of Rohingya refugee camp infrastructure
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, North South University, Dhaka, Bangladesh
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/24751839.2019.1704114
Reference71 articles.
1. Landslide susceptibility mapping using multi-criteria evaluation techniques in Chittagong Metropolitan Area, Bangladesh
2. Landslide susceptibility modelling applying user-defined weighting and data-driven statistical techniques in Cox’s Bazar Municipality, Bangladesh
3. Application of Bivariate and Multivariate Statistical Techniques in Landslide Susceptibility Modeling in Chittagong City Corporation, Bangladesh
4. Understanding the political ecology of forced migration and deforestation through a multi-algorithm classification approach: the case of Rohingya displacement in the southeastern border region of Bangladesh
5. Humanitarian disaster for Rohingya refugees: impending natural hazards and worsening public health crises
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